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{{other uses|Aster (disambiguation)}}
{{Infobox company
{{Infobox company
|name = Teradata Aster Analytics
|name = Teradata Aster Analytics
|type = Public, Part of [[Teradata|Teradata Corp]]
|type = Public, Part of [[Teradata|Teradata Corp]]
|foundation = 2005 |location = [[San Carlos, California]] [[United States|USA]]
|foundation = 2005 in [[San Carlos, California]]
|industry = Advanced Analytics
|industry = Advanced Analytics
|products = Teradata Aster Analytics
|products = Teradata Aster Analytics
Line 10: Line 9:
}}
}}


'''Aster Data Systems''' is a [[data management]] and [[Analytics|analysis]] software company headquartered in [[San Carlos, California]]. It was founded in 2005 and acquired by [[Teradata]] in 2011.
'''Aster Data Systems''' was a [[data management]] and [[Analytics|analysis]] software company headquartered in [[San Carlos, California]]. It was founded in 2005 and acquired by [[Teradata]] in 2011.

==Products==
Teradata Aster® Analytics is a multi-genre, scalable, advanced analytics solution that empowers business users to uncover and operationalize non-intuitive insights.

Aster Analytics combines different data stores, analytic processing, and analytic algorithms that are typically found across multiple silo’d platforms within a single analytic solution to solve complex business problems.

Aster Analytics leverages [[SQL]], [[MapReduce]], [[Graph database|Graph]], and [[R (programming language)|R]] functions on data across row, column and file stores. The ability to combine analytics from multiple genres (such as machine learning, statistics, path, pattern, graph, or text) within a single work stream is a unique differentiator for Aster Analytics.

Aster Analytics is based on a [[Massively parallel (computing)|Massively Parallel Processing]] (MPP) architecture, where tasks are run simultaneously across multiple nodes for more efficient processing. The Aster Database includes three analytic engines (SQL, MapReduce, and Graph) designed to provide optimal processing of the analytic task across massive volumes of data. In addition, the analytics are performed directly in the database to eliminate data movement and to leverage the MPP.

While most big data platforms require specialized data science skills to design, build, and maintain parallel MapReduce programs, Aster Analytics provides interfaces to enable a broad range of users to discover insights from their data. Highly technical users such as programmers and data scientist can code directly to the APIs for the engines to develop their own analytics. Business analysts with SQL skills can leverage over 100 prebuilt functions to easily run sophisticated analytics against their data. It’s simple to deploy these analytic programs using Teradata Aster AppCenter to enable self-service big data discovery by enterprise users.

The complete Aster Analytics software solution is made up of several components: the database and client, the analytics portfolio, and AppCenter.

'''Aster Database and Client'''

The Aster Database is a parallel database that enables users to store and process multi-structured data. This section describes the components and provides a compare/contrast analysis with a traditional relational database.
* Data Stores: Relational databases require a data model with structure such as third normal form or a star schema. While the Aster Database can load multi-structured data in raw form. Machine data, web logs, text, or Internet of Things data can be loaded as a row, column and file store, and transformed into structured data for further analytic processing.
* Analytic Engines: Aster Analytics offers three different analytic engines (SQL, SQL-MapReduce, and SQL-GR) that can be used together within a single query, delivering optimal performance. Additionally, users can install open source R as an “add-on” engine for R processing. Each is described in more detail below:
** SQL – Aster Analytics offers a true relational SQL engine for efficient set-based processing. Many of the statistical techniques, sorting, merging and aggregations are best done in SQL.
** SQL-MapReduce – MapReduce is a programming model (not a language) and implementation for processing large multi-structured data sets. Programs written in this functional style are automatically parallelized and executed on a large cluster of servers. MapReduce is better suited than SQL for row-over-row processing use cases, such as pattern detection, affinity analysis, and collaborative filtering. The SQL implementation of such use cases translates into expensive full-table scans and multiple table joins, whereas MapReduce uses a procedural framework to process such use cases more efficiently. Iterative queries such as affinity analysis of more than two products, text analytics, and many machine learning techniques are typically processed more efficiently using MapReduce vs. SQL.
** SQL-GR - Aster Analytics SQL-GR is a native graph processing engine that makes it easy to perform powerful graph analysis, especially complex graph analysis such as social network/influencer analysis, fraud detection, supply chain management, network analysis and threat detection, and money laundering across big data sets. SQL-GR is based on the Bulk Synchronous Processing (BSP) model, and uses massively iterative, distributed and parallel processing to solve complex graph problems. Aster SQL-GR is focused on large-scale graph analytics, with processing architectures and APIs designed specifically for parallel execution on commodity-class clusters.
** R –Open source R and R packages can be embedded directly in the Aster Analytics database, where R scripts can be executed on one or many v-Workers for concurrent processing across multiple v-Workers. With Aster 6.20, the Aster R client package allows users to run R scripts through the R “apply” family of functions. This eliminates the need to know SQL. In addition, Aster R provides a library of prebuilt parallel functions that leverages the SQL-MapReduce and SQL engines. Aster R also includes combiners to implement the split/apply/combine construct to parallelize R functions.
* Seamless Network Analytics Processing (SNAP) - The SNAP framework) works transparently to deliver an integrated end user experience with a single user interface and a single high-level language (SQL) across multiple processing engines in the top layer and data stores in the bottom layer.
** Using the Unified SQL Interface, analysts and data scientists can invoke and combine various types of analytics (Graph, Path/Pattern, Text, SQL and Statistics) in a single SQL statement.
** Integrated Optimizer takes the query with multiple analytics and parses it into multiple sub-queries to be executed by workload-specific execution engines like SQL-GR and SQL-MapReduce. The integrated optimizer provides powerful advanced optimizations, like global collaborative planning and adaptive optimization and execution, by eliminating redundant operations and reordering of operators in a query. Integrated Executor orchestrates the execution of query and iterative phases across multiple engines. It passes parameters and results and performs common workload management and monitoring across engines.
** Common Storage System and Services provide a unified data storage architecture that eliminates wasteful and redundant effort. It is a plug and play system designed for typed data stores and provides common services such as fault tolerance, replication, security, and snapshots across the data stores.
* Aster Client (Aster R) – Aster Client includes client tools such as Aster Database Cluster Terminal, ODBC, JDBC and .NET interfaces, Loaders and Exporter, and most notably Aster R.
** Aster R - Package that allows an R user to interact with Aster through an R interface. The package provides wrappers for R functions that run SQL or SQL-MR functions in Aster Analytics to parallelize them. Aster R package also provides runners that allow users to run R scripts across single or multiple v-Workers to run tasks concurrently. These runners also provide a combiner that allows programmers to write custom SQL parallel programs using the MapReduce constructs. This is a powerful capability that allows R programmers to exceed the data, processing, and memory limitations of R.
'''The Aster Analytics Portfolio'''

The integrated discovery portfolio provides over 100 ready-to-use SQL-based functions that address the big data analytics and discovery process. These analytics are defined in detail in the Aster Analytics Portfolio [http://assets.teradata.com/resourceCenter/downloads/WhitePapers/EB6844_Teradata_Aster_Discovery_Portfolio_Whitepaper.pdf white paper].
{| class="MsoTableGrid"
|
Statistical Analysis
Approximate Distinct Count
Approximate Percentile
Average
Confusion Matrix
Correlation
CoxPH, CoxPredict, CoxSurvFit
Distribution Matching
Exponential Moving Average
Enhanced Histogram
F-Measure
Generalized Linear Model (GLM)
GLM Predict
Histogram
K-Nearest Neighbor Classification (KNN)
LARS Functions
Linear Regression
Logistic Predict (deprecated)
Logistic Regression (deprecated)
LRTEST
Percentile
Principal Component Analysis
Sample
Simple Moving Average
Support Vector Machines
Vector Distance
Volume Weighted Average Price
Weighted Moving Average
Decision Trees
Forest Drive, Predict & Analyze
Single Tree Drive & Predict
Naïve Bayes
Naïve Bayes Map, Reduce & Predict
|
Data
Transformation
Antiselect
Apache Log Parser
FellegiSunter Trainer & Predict
E-Mail Parser
Identity Match
IpGeo
JSON Parser
Multicase
Murmurhash
Outlier Filter
PST Parser AFS
Pack
Pivot
Scale Functions
String Similarity
Sessionization
Unpack
Unpivot
URI Pack & Unpack
XML Parser & Relation
Cluster Analysis
Canopy
Gaussian Mixture Model
KMeans
KMeansPlot
Minhash
Association Analysis
Basket Generator
Collaboration Filter
WSRecommender
|
Graph Analysis
All Pairs Shortest-Path
Betweenness
Closeness
Eigenvector Centrality
gTree
Hidden Markov Model
Local Clustering Coefficient
Loopy Belief Propagation
Modularity
nTree
PageRank
Personalized SALSA
Random Walk Sample
Shapley Value
Text Analysis
Chinese Text Segmentation
Latent Dirichlet Allocation (LDA)
Levenshtein Distance
Naïve Bayes Text Classifier
Named Entity Recognition (NER)
nGram
POS Tagger
Sentenizer
Sentiment Extraction
Term Frequency-Inverse Document Frequency (TF-IDF)
Text Classifier
Text Chunker
Text Morph
Text Parser
Text Tagging
Text Tokenizer
|
Time Series, Path &
Pattern Matching
Arima & Predictor
Attribution
Burst
Cumulative Moving Average
Dynamic Time Warping (DTW)
Discrete Wavelet Transforms
Discrete Wavelet Transforms on 2 Dimensional Input
Frequent Paths
Inverse Discrete Wavelet Transforms
Inverse Wavelet Transforms on Multiple Sequences
Interpolator
nPath
Path Generator, Starter & Summarizer
Symbolic Aggregation Approximation (SAX)
Sessionization
Shapelets
Location Analysis
Load Geometries
Point in Polygon
Geometry Overlay
Visualization
CfilterViz
NpathViz
Aster Database
System Function
nc_skew
nc_relationstats
|}
Figure 1: The Aster Analytics Portfolio

'''Teradata Aster AppCenter'''

Teradata Aster AppCenter provides a framework that allows data scientists and business analysts to embed their SQL or Java analytic code into apps which can be shared or deployed within AppCenter as shown in the diagram below. The AppCenter framework provides a web-based portal to manage and view apps, services to build apps, and [[Representational state transfer|RESTful API]] and other methods for third-party tool integration. These apps are stored, managed, and invoked through a web-based interface, allowing self-service access to users of all skill levels.


==History==
==History==
Aster Data was co-founded in 2005 by [[Stanford University]] graduate students George Candea, Mayank Bawa and Tasso Argyros.<ref>{{cite web |title= George Candea |work= Dependable Systems Laboratory faculty profile |publisher= [[École Polytechnique Fédérale de Lausanne]] |url= http://people.epfl.ch/george.candea |accessdate= August 12, 2011 }}</ref><ref name="close"/>
Aster Data was co-founded in 2005 by [[Stanford University]] graduate students George Candea, Mayank Bawa and Tasso Argyros.<ref>{{cite web |title= George Candea |work= Dependable Systems Laboratory faculty profile |publisher= [[École Polytechnique Fédérale de Lausanne]] |url= http://people.epfl.ch/george.candea |accessdate= August 12, 2011 }}</ref><ref name="close"/>
It received funding from [[First Round Capital]], [[Sequoia Capital]], [[Institutional Venture Partners]], Cambrian Ventures, Jafco Ventures as well as [[angel investor]]s including [[Rajeev Motwani]], [[Ron Conway]] and [[David Cheriton]].<ref>{{cite news |title= Aster Data Systems Extends Oversubscribed Series B Funding to $17 Million IVP Adds $5 Million in Additional Funding for Proven Leader in Frontline Data Warehousing |date= February 25, 2009 |work= News release |publisher= Institutional Venture Partners |url= http://www.ivp.com/news_20090225.html |accessdate= August 12, 2011 }}</ref>
It received funding from [[First Round Capital]], [[Sequoia Capital]], [[Institutional Venture Partners]], Cambrian Ventures, [[Jafco Ventures]] as well as [[angel investor]]s, including [[Rajeev Motwani]], [[Ron Conway]] and [[David Cheriton]].<ref>{{cite news|title=Aster Data Systems Extends Oversubscribed Series B Funding to $17 Million IVP Adds $5 Million in Additional Funding for Proven Leader in Frontline Data Warehousing |date=February 25, 2009 |work=News release |publisher=Institutional Venture Partners |url=http://www.ivp.com/news_20090225.html |accessdate=August 12, 2011 |url-status=dead |archiveurl=https://web.archive.org/web/20111005203852/http://www.ivp.com/news_20090225.html |archivedate=October 5, 2011 }}</ref>
It received first round of funding of $5 million in 2005, then a second round of $17 million in February 2009, and third round of $30 million in September 2010.<ref name="crunch">{{cite news |title= Aster Data Raises Another $30 Million To Help Manage Big Data |work= TechCrunch |author= Jason Kincaid |date= September 22, 2010 |url= http://techcrunch.com/2010/09/22/aster-data-funding/ |accessdate= August 12, 2011 }}</ref>
It received its first round of funding of $5 million in 2005, a second round of $17 million in February 2009, and third round of $30 million in September 2010.<ref name="crunch">{{cite news |title= Aster Data Raises Another $30 Million To Help Manage Big Data |work= TechCrunch |author= Jason Kincaid |date= September 22, 2010 |url= https://techcrunch.com/2010/09/22/aster-data-funding/ |accessdate= August 12, 2011 }}</ref>

Aster was mentioned in 2010 by [[Intelligent Enterprise (magazine)|Intelligent Enterprise]]' editor.<ref>{{cite press release |url= http://www.asterdata.com/news/100308-Aster-Data-Intelligent-Enterprise.php |title= Aster Data Honored as "Company to Watch" in the 2010 Intelligent Enterprise Editors' Choice Awards |date=March 8, 2010 |publisher=Aster Data |accessdate= August 12, 2011 }}</ref><ref>{{cite news |url= http://www.informationweek.com/news/software/bi/222900034 |title=Intelligent Enterprise Editors' Choice Awards 2010 |work= Information Week |page= 5 |date=February 11, 2010 |accessdate= August 12, 2011 }}</ref>
It was ranked seventh in 2011 of venture-funded companies by ''[[The Wall Street Journal]]''.<ref>{{cite news |title= The Top 50 Venture-Backed Companies |work= Wall Street Journal |date= March 20, 2011 |url= https://www.wsj.com/articles/SB10001424052748703300904576178673309577828 |accessdate= August 12, 2011 | archiveurl= https://web.archive.org/web/20110629113452/http://online.wsj.com/article/SB10001424052748703300904576178673309577828.html| archivedate= 29 June 2011 | url-status= live}}</ref>
Argyros (Chief Technical Officer at the time) was listed as a technology pioneer of information technology and new media by the [[World Economic Forum]] in 2011.<ref>{{cite web |title= Empowering People and Transforming Society: The World Economic Forum’s Technology Pioneers 2011 |publisher= World Economic Forum |date= May 30, 2011 |url= http://www3.weforum.org/docs/WEF_TP_Brochure_2011.pdf |accessdate= February 19, 2017 }}</ref>


[[Teradata]] had acquired an 11 percent ownership interest in Aster Data Systems in September 2010.
[[Teradata]] had acquired an 11 percent ownership interest in Aster Data Systems in September 2010.
On March 3, 2011, Teradata agreed to pay an additional $263 million for the remaining ownership interest, net of debt and other expenses.<ref>{{cite news |title= Teradata to Acquire Aster Data |work= News release |publisher= Aster Data |date= March 3, 2011 |url= http://www.asterdata.com/news/110303-Teradata-to-Acquire-Aster-Data.php |accessdate= August 12, 2011 | archiveurl= http://web.archive.org/web/20110719063204/http://www.asterdata.com/news/110303-Teradata-to-Acquire-Aster-Data.php| archivedate= 19 July 2011 <!--DASHBot-->| deadurl= no}}</ref><ref>{{cite news |url= http://www.theregister.co.uk/2011/03/03/teradata_buys_aster_data/ |title= Teradata snaps up Aster Data for $263m: Big data analytics |author = Timothy Prickett Morgan |date= March 3, 2011 |work= [[The Register]] |accessdate = August 12, 2011 | archiveurl= http://web.archive.org/web/20110628201751/http://www.theregister.co.uk/2011/03/03/teradata_buys_aster_data/| archivedate= 28 June 2011 <!--DASHBot-->| deadurl= no}}</ref>
On March 3, 2011, Teradata agreed to pay an additional $263 million for the remaining ownership interest, net of debt and other expenses.<ref>{{cite news |title= Teradata to Acquire Aster Data |work= News release |publisher= Aster Data |date= March 3, 2011 |url= http://www.asterdata.com/news/110303-Teradata-to-Acquire-Aster-Data.php |accessdate= August 12, 2011 | archiveurl= https://web.archive.org/web/20110719063204/http://www.asterdata.com/news/110303-Teradata-to-Acquire-Aster-Data.php| archivedate= 19 July 2011 | url-status= live}}</ref><ref>{{cite news |url= https://www.theregister.co.uk/2011/03/03/teradata_buys_aster_data/ |title= Teradata snaps up Aster Data for $263m: Big data analytics |author = Timothy Prickett Morgan |date= March 3, 2011 |work= [[The Register]] |accessdate = August 12, 2011 | archiveurl= https://web.archive.org/web/20110628201751/https://www.theregister.co.uk/2011/03/03/teradata_buys_aster_data/| archivedate= 28 June 2011 | url-status= live}}</ref>
The acquisition completed in April 2011.<ref name="close">{{cite news |title= Teradata Completes Acquisition of Aster Data: Bringing together two leaders to deliver powerful insights for organizations |work= News release |publisher= Teradata |date=April 6, 2011 |url= http://www.teradata.com/News-Releases/2011/Teradata-Completes-Acquisition-of-Aster-Data/ |accessdate= August 12, 2011 }}</ref>
The acquisition completed in April 2011.<ref name="close">{{cite news |title= Teradata Completes Acquisition of Aster Data: Bringing together two leaders to deliver powerful insights for organizations |work= News release |publisher= Teradata |date= April 6, 2011 |url= http://www.teradata.com/News-Releases/2011/Teradata-Completes-Acquisition-of-Aster-Data/ |accessdate= August 12, 2011 |archive-url= https://web.archive.org/web/20110813072343/http://www.teradata.com/News-Releases/2011/Teradata-Completes-Acquisition-of-Aster-Data/ |archive-date= August 13, 2011 |url-status= dead }}</ref>
In September 2011 a [[computer appliance]] version of the product was announced, with pre-configured software bundled with hardware.<ref>{{Cite news |title= Teradata's Aster analytic database gets appliance treatment |author= Chris Kanaracus |work= Info World |url= http://www.infoworld.com/d/data-management/teradatas-aster-analytic-database-gets-appliance-treatment-173696 |date= September 22, 2011 |accessdate= October 25, 2011 }}</ref>
In September 2011 a [[computer appliance]] version of the product was announced, with pre-configured software bundled with hardware.<ref>{{Cite news |title= Teradata's Aster analytic database gets appliance treatment |author= Chris Kanaracus |work= Info World |url= http://www.infoworld.com/d/data-management/teradatas-aster-analytic-database-gets-appliance-treatment-173696 |date= September 22, 2011 |accessdate= October 25, 2011 }}</ref>
Aster Data hosted a "Data Analytics Summit" trade show through 2012, made up of regional events.<ref>{{cite web|title=Data Analytics Summit: The premiere event for supercharging analytics on big data |work=official web site |url= http://dataanalyticssummit.com/ |accessdate=August 12, 2011 |url-status=dead |archiveurl=https://web.archive.org/web/20110807234416/http://dataanalyticssummit.com/ |archivedate= August 7, 2011 }}</ref>


In October 2012, Aster announced a second version of its appliance. In addition to the Aster database software, the new appliance was available with nodes running the [[Hortonworks]] distribution of [[Apache Hadoop]].<ref>{{Cite news |title= It's happening: Hadoop and SQL worlds are converging |author= Tony Baer |date= October 26, 2012 |work= ZDNet |url=http://www.zdnet.com/its-happening-hadoop-and-sql-worlds-are-converging-7000006455/ |accessdate= October 14, 2013 }}</ref><ref>{{Cite news |title= Teradata Big Analytics Appliance Enables New Business Insights on All Enterprise Data |date= October 17, 2012 |publisher= Teradata Aster |work= Press release |url= http://www.asterdata.com/news/teradata-aster-big-analytics-appliance-breaks-down-barriers.php |accessdate= October 14, 2013 }}</ref>
In October 2012, Aster announced a second version of its appliance. In addition to the Aster database software, another appliance was available with nodes running the [[Hortonworks]] distribution of [[Apache Hadoop]].<ref>{{Cite news |title= It's happening: Hadoop and SQL worlds are converging |author= Tony Baer |date= October 26, 2012 |work= ZDNet |url=https://www.zdnet.com/article/its-happening-hadoop-and-sql-worlds-are-converging/ |access-date= October 14, 2013 }}</ref><ref>{{Cite news |title= Teradata Big Analytics Appliance Enables New Business Insights on All Enterprise Data |date= October 17, 2012 |publisher= Teradata Aster |work= Press release |url= http://www.asterdata.com/news/teradata-aster-big-analytics-appliance-breaks-down-barriers.php |accessdate= October 14, 2013 }}</ref>


In October 2013, version 6 of Aster database software was announced. It supported [[graph database]] technology, and a file system that the company said was compatible with the Hadoop distributed file system.<ref>{{Cite news |title= Teradata Aster gets graph database, HDFS-compatible file store |author= Andrew Brust |date= October 8, 2013 |work= ZDNet |url= http://www.zdnet.com/teradata-aster-gets-graph-database-hdfs-compatible-file-store-7000021667/ |accessdate= October 14, 2013 }}</ref><ref>{{Cite news |title= Teradata Aster Discovery Platform Liberates Data Scientists Around the World |date= October 8, 2013 |publisher= Teradata Aster |work= Press release |url= http://www.asterdata.com/news/teradata-aster-discovery-platform-liberates-data-scientists-around-the-world.php |accessdate= October 14, 2013 }}</ref>
In October 2013, version 6 of Aster database software was announced. It supported [[graph database]] technology, and a file system that the company said was compatible with the Hadoop distributed file system.<ref>{{Cite news |title= Teradata Aster gets graph database, HDFS-compatible file store |author= Andrew Brust |date= October 8, 2013 |work= ZDNet |url= https://www.zdnet.com/article/teradata-aster-gets-graph-database-hdfs-compatible-file-store/ |access-date= October 14, 2013 }}</ref><ref>{{Cite news |title= Teradata Aster Discovery Platform Liberates Data Scientists Around the World |date= October 8, 2013 |publisher= Teradata Aster |work= Press release |url= http://www.asterdata.com/news/teradata-aster-discovery-platform-liberates-data-scientists-around-the-world.php |accessdate= October 14, 2013 }}</ref>
After Bawa left the company in 2014, he was named a young achiever by the [[Indian Institute of Technology Bombay]] (from which he graduated in 1999).<ref>{{Cite web |title= Distinguished Alumnus Awards: Young Alumni Achiever Awards |date= March 10, 2014 |publisher= Indian Institute of Technology Bombay |page= 29 |url= http://www-old.iitbombay.org/news/final-pdf.pdf |accessdate= February 19, 2017 |archive-url= https://web.archive.org/web/20170220092740/http://www-old.iitbombay.org/news/final-pdf.pdf |archive-date= February 20, 2017 |url-status= dead }}</ref>


In June 2014, Teradata introduced Aster® R, which extends the power of open source R analytics by lifting the memory and processing limitations. Aster R offers the R analyst an enterprise-ready business analytics solution that is massively scalable, reliable, and easy-to-use. Aster R leverages a high-performance computer platform with all the benefits of security, data management, and an ensemble of analytics.<ref>{{Cite web|title = Teradata Lifts the Limitations on Open Source R Analytics|url = http://www.teradata.com/News-Releases/2014/Teradata-Lifts-the-Limitations-on-Open-Source-R-Analytics/?LangType=1033&LangSelect=true|website = www.teradata.com|accessdate = 2015-12-17}}</ref>
In June 2014, Teradata announced a product using the [[R (programming language)|R programming language]].<ref>{{Cite web |title = Teradata Lifts the Limitations on Open Source R Analytics |url = http://www.teradata.com/News-Releases/2014/Teradata-Lifts-the-Limitations-on-Open-Source-R-Analytics/ |work= Press release |date= June 26, 2014 |accessdate = February 20, 2017 }}</ref>
In February 2015, Teradata announced an "AppCenter" using Aster technology.<ref>{{Cite web |title = Teradata Launches Next-Generation Big Data Apps |work = Press release |date = February 11, 2015 |url = http://www.teradata.com/News-Releases/2015/Teradata-Launches-Next-Generation-Big-Data-Apps/ |accessdate = February 20, 2017 |archive-url = https://web.archive.org/web/20170211163040/http://www.teradata.com/News-Releases/2015/Teradata-Launches-Next-Generation-Big-Data-Apps/ |archive-date = February 11, 2017 |url-status = dead }}</ref>

In October, 2015 Teradata announced a set of analytics techniques and applications to run on [[Apache Hadoop]], marketed for the [[Internet of things]].<ref>{{Cite web|title = Breakthrough Teradata Software Pushes the Analytic Edge with Internet of Things Data |work= Press release |date= October 19, 2015 |url = http://www.teradata.com/News-Releases/2015/Breakthrough-Teradata-Software-Pushes-the-Analytic-Edge-with-Internet-of-Things-Data/ |accessdate = February 20, 2017 }}</ref> In 2016, Aster Analytics was made available on Amazon AWS Marketplace for self-service, DIY customers. It became available at Microsoft Azure Marketplace in 2017.
In February 2015, Teradata announced new big data apps powered by the Teradata Aster AppCenter. The big data apps are focused on industries that include consumer finance, entertainment and gaming, healthcare, retail, and telecommunications. The big data apps use AppCenter, which provides a common framework to build, deploy, and consume interactive, web-based applications.<ref>{{Cite web|title = Teradata Launches Next-Generation Big Data Apps|url = http://www.teradata.com/News-Releases/2015/Teradata-Launches-Next-Generation-Big-Data-Apps/?LangType=1033&LangSelect=true|website = www.teradata.com|accessdate = 2015-12-17}}</ref>

In October, 2015 Teradata announced Aster Analytics on Hadoop, which is an is an integrated analytics solution featuring a set of more than 100 business-ready, distinctly different analytics techniques and seven industry applications to run directly on Hadoop®. Teradata Aster Analytics on Hadoop allows users to combine machine learning, text, path, pattern, graph, and statistics within a single workflow.<ref>{{Cite web|title = Breakthrough Teradata Software Pushes the Analytic Edge with Internet of Things Data|url = http://www.teradata.com/News-Releases/2015/Breakthrough-Teradata-Software-Pushes-the-Analytic-Edge-with-Internet-of-Things-Data/?LangType=1033&LangSelect=true|website = www.teradata.com|accessdate = 2015-12-17}}</ref>

==Clients and partners==
Since the acquisition by Teradata in 2011, the Aster Analytics customer base has grown exponentially. Today, leading organizations across the globe in a variety of industries like telecommunications, financial services, retail, and manufacturing use Aster Analytics for use cases as diverse as omni-channel customer experiences, digital marketing, and preventive machine maintenance. Aster Analytics customers include household names like Verizon Wireless, Wells Fargo, Discover, NCR, Dell, Siemens, and Swisscom.

Aster Analytics has strong partnerships with various vendors. Featured technology partners include Dell (for its hardware platform), MicroStrategy, Tableau, Qlik, Spotfire (to integrate MapReduce and business intelligence software), and Informatica (for its data integration software).

==Recognition==
For his key leadership and visionary role in creating and establishing the “Big Data” market; Aster co-founder/CEO and [[Indian Institute of Technology Bombay|IIT Bombay]] alumn Mayank Bawa, B.Tech, Computer Science, Class of 1999, was awarded [https://www.iitbombay.org/news/daa-yaa Young Alumni Achiever Award] at IIT Bombay's 55th Foundation Day held on Monday 10 March 2014.

Aster Data hosts the "Data Analytics Summit" (also known as the "Big Data Summit"), made up of regional events in [[Chicago]], [[Washington, D.C.]], [[Dallas]], [[Burlingame, California]], and [[New York City]].<ref>{{cite web |title= Data Analytics Summit: The premiere event for supercharging analytics on big data |work= official web site |url= http://dataanalyticssummit.com/ |accessdate= August 12, 2011 }}</ref>

Aster's former Chief Technical Officer, Tasso Argyros, was named a "2011 Technology Pioneer" by the [[World Economic Forum]] in the category of Information Technologies and New Media,<ref>{{cite web |title=Tasso Argyros, CTO, Aster Data and World Economic Forum Technology Pioneer 2011 |publisher= World Economic Forum |url= http://www.weforum.org/videos/tasso-argyros-cto-aster-data-and-world-economic-forum-technology-pioneer-2011 |accessdate= August 12, 2011 }}</ref> and was positioned as a "Company to Watch" in 2010 by [[Intelligent Enterprise (magazine)|Intelligent Enterprise]]'s Editor's Choice.<ref>{{cite press release |url= http://www.asterdata.com/news/100308-Aster-Data-Intelligent-Enterprise.php |title= Aster Data Honored as "Company to Watch" in the 2010 Intelligent Enterprise Editors' Choice Awards |date=March 8, 2010 |publisher=Aster Data |accessdate= August 12, 2011 }}</ref><ref>{{cite news |url= http://www.informationweek.com/news/software/bi/222900034 |title=Intelligent Enterprise Editors' Choice Awards 2010 |work= Information Week |page= 5 |date=February 11, 2010 |accessdate= August 12, 2011 }}</ref>
It was ranked seventh on the 2011 "top 50 venture-funded companies" by the ''[[Wall Street Journal]]''.<ref>{{cite news |title= The Top 50 Venture-Backed Companies |work= Wall Street Journal |date= March 20, 2011 |url= http://online.wsj.com/article/SB10001424052748703300904576178673309577828.html |accessdate= August 12, 2011 | archiveurl= http://web.archive.org/web/20110629113452/http://online.wsj.com/article/SB10001424052748703300904576178673309577828.html| archivedate= 29 June 2011 <!--DASHBot-->| deadurl= no}}</ref>


==References==
==References==
{{Reflist}}
{{Reflist}}

== External links ==
* {{official website |www.teradata.com/Teradata-Aster/overview}}


[[Category:Data warehousing products]]
[[Category:Data warehousing products]]
[[Category:2005 establishments in California]]
[[Category:2005 establishments in California]]
[[Category:Companies based in San Carlos, California]]
[[Category:Companies based in San Carlos, California]]
[[Category:Companies established in 2005]]
[[Category:American companies established in 2005]]
[[Category:Teradata]]
[[Category:Teradata]]
[[Category:2011 mergers and acquisitions]]

Latest revision as of 15:31, 5 July 2024

Teradata Aster Analytics
Company typePublic, Part of Teradata Corp
IndustryAdvanced Analytics
Founded2005 in San Carlos, California
FateAcquired
ProductsTeradata Aster Analytics
ParentTeradata
Websitewww.teradata.com/Teradata-Aster/overview

Aster Data Systems was a data management and analysis software company headquartered in San Carlos, California. It was founded in 2005 and acquired by Teradata in 2011.

History

[edit]

Aster Data was co-founded in 2005 by Stanford University graduate students George Candea, Mayank Bawa and Tasso Argyros.[1][2] It received funding from First Round Capital, Sequoia Capital, Institutional Venture Partners, Cambrian Ventures, Jafco Ventures as well as angel investors, including Rajeev Motwani, Ron Conway and David Cheriton.[3] It received its first round of funding of $5 million in 2005, a second round of $17 million in February 2009, and third round of $30 million in September 2010.[4]

Aster was mentioned in 2010 by Intelligent Enterprise' editor.[5][6] It was ranked seventh in 2011 of venture-funded companies by The Wall Street Journal.[7] Argyros (Chief Technical Officer at the time) was listed as a technology pioneer of information technology and new media by the World Economic Forum in 2011.[8]

Teradata had acquired an 11 percent ownership interest in Aster Data Systems in September 2010. On March 3, 2011, Teradata agreed to pay an additional $263 million for the remaining ownership interest, net of debt and other expenses.[9][10] The acquisition completed in April 2011.[2] In September 2011 a computer appliance version of the product was announced, with pre-configured software bundled with hardware.[11] Aster Data hosted a "Data Analytics Summit" trade show through 2012, made up of regional events.[12]

In October 2012, Aster announced a second version of its appliance. In addition to the Aster database software, another appliance was available with nodes running the Hortonworks distribution of Apache Hadoop.[13][14]

In October 2013, version 6 of Aster database software was announced. It supported graph database technology, and a file system that the company said was compatible with the Hadoop distributed file system.[15][16] After Bawa left the company in 2014, he was named a young achiever by the Indian Institute of Technology Bombay (from which he graduated in 1999).[17]

In June 2014, Teradata announced a product using the R programming language.[18] In February 2015, Teradata announced an "AppCenter" using Aster technology.[19] In October, 2015 Teradata announced a set of analytics techniques and applications to run on Apache Hadoop, marketed for the Internet of things.[20] In 2016, Aster Analytics was made available on Amazon AWS Marketplace for self-service, DIY customers. It became available at Microsoft Azure Marketplace in 2017.

References

[edit]
  1. ^ "George Candea". Dependable Systems Laboratory faculty profile. École Polytechnique Fédérale de Lausanne. Retrieved August 12, 2011.
  2. ^ a b "Teradata Completes Acquisition of Aster Data: Bringing together two leaders to deliver powerful insights for organizations". News release. Teradata. April 6, 2011. Archived from the original on August 13, 2011. Retrieved August 12, 2011.
  3. ^ "Aster Data Systems Extends Oversubscribed Series B Funding to $17 Million IVP Adds $5 Million in Additional Funding for Proven Leader in Frontline Data Warehousing". News release. Institutional Venture Partners. February 25, 2009. Archived from the original on October 5, 2011. Retrieved August 12, 2011.
  4. ^ Jason Kincaid (September 22, 2010). "Aster Data Raises Another $30 Million To Help Manage Big Data". TechCrunch. Retrieved August 12, 2011.
  5. ^ "Aster Data Honored as "Company to Watch" in the 2010 Intelligent Enterprise Editors' Choice Awards" (Press release). Aster Data. March 8, 2010. Retrieved August 12, 2011.
  6. ^ "Intelligent Enterprise Editors' Choice Awards 2010". Information Week. February 11, 2010. p. 5. Retrieved August 12, 2011.
  7. ^ "The Top 50 Venture-Backed Companies". Wall Street Journal. March 20, 2011. Archived from the original on 29 June 2011. Retrieved August 12, 2011.
  8. ^ "Empowering People and Transforming Society: The World Economic Forum's Technology Pioneers 2011" (PDF). World Economic Forum. May 30, 2011. Retrieved February 19, 2017.
  9. ^ "Teradata to Acquire Aster Data". News release. Aster Data. March 3, 2011. Archived from the original on 19 July 2011. Retrieved August 12, 2011.
  10. ^ Timothy Prickett Morgan (March 3, 2011). "Teradata snaps up Aster Data for $263m: Big data analytics". The Register. Archived from the original on 28 June 2011. Retrieved August 12, 2011.
  11. ^ Chris Kanaracus (September 22, 2011). "Teradata's Aster analytic database gets appliance treatment". Info World. Retrieved October 25, 2011.
  12. ^ "Data Analytics Summit: The premiere event for supercharging analytics on big data". official web site. Archived from the original on August 7, 2011. Retrieved August 12, 2011.
  13. ^ Tony Baer (October 26, 2012). "It's happening: Hadoop and SQL worlds are converging". ZDNet. Retrieved October 14, 2013.
  14. ^ "Teradata Big Analytics Appliance Enables New Business Insights on All Enterprise Data". Press release. Teradata Aster. October 17, 2012. Retrieved October 14, 2013.
  15. ^ Andrew Brust (October 8, 2013). "Teradata Aster gets graph database, HDFS-compatible file store". ZDNet. Retrieved October 14, 2013.
  16. ^ "Teradata Aster Discovery Platform Liberates Data Scientists Around the World". Press release. Teradata Aster. October 8, 2013. Retrieved October 14, 2013.
  17. ^ "Distinguished Alumnus Awards: Young Alumni Achiever Awards" (PDF). Indian Institute of Technology Bombay. March 10, 2014. p. 29. Archived from the original (PDF) on February 20, 2017. Retrieved February 19, 2017.
  18. ^ "Teradata Lifts the Limitations on Open Source R Analytics". Press release. June 26, 2014. Retrieved February 20, 2017.
  19. ^ "Teradata Launches Next-Generation Big Data Apps". Press release. February 11, 2015. Archived from the original on February 11, 2017. Retrieved February 20, 2017.
  20. ^ "Breakthrough Teradata Software Pushes the Analytic Edge with Internet of Things Data". Press release. October 19, 2015. Retrieved February 20, 2017.
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