Teradata Aster SQL-GR™

Next Generation Graph Analytics for Powerful Insights

Native graph processing engine that makes it easy to perform powerful graph analysis with speed across big data sets


Meeting your business needs

Gain an Unfair Competitive Advantage using powerful insights from Graph Analysis
Discover high impact insights by easily combining Graph Analysis with other techniques such as Text and Statistical Analysis through an integrated solution optimized for multiple analytics on all data. 

Large scale graph processing with best price performance
Easily apply unmatched power and speed to perform complex graph analysis at big data scale. Achieve fastest time to value with ready-to-use Teradata Aster Big Analytics Appliance or use commodity hardware in an MPP architecture.

Bring Graph Analytics to existing SQL audience
Empower existing resources with SQL skills to discover insights from Graph Analysis with minimal effort. Business analysts can easily invoke pre-built graph functions in a single SQL statement to perform graph analysis, without having to learn any specialized programming skills or write cumbersome code. Webcast: Gain an Unfair Advantage with a Data Discovery Platform
Teradata Aster Discovery Platform
Demo: Prevent Customer Churn
Demo: Grow Loyalty of Influential Customers
Blog: Insights on Big Data
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Powerful Graph Analytics with ease

Aster SQL-GR™ is a native graph processing engine for Graph Analysis that makes it easy to solve complex business problems such as social network/influencer analysis, fraud detection, supply chain management, network analysis and threat detection, and money laundering that are more impactful than simple graph navigation analysis. SQL-GR is based on the Bulk Synchronous Processing (BSP) model and uses massively iterative, distributed & parallel processing to solve complex graph problems.


Teradara Aster Discovery Platform
Teradata Aster Technical Review
Demo: Grow Loyalty of Influential Customers
Teradata Aster Big Analytics Appliance
Next-Generation Graph Analytics: Putting the Network to Work

Massively Scalable

SQL-GR is massively scalable as it is based on the BSP iterative processing model and takes advantage of Teradata Aster’s massively scalable parallel processing (MPP) architecture to distribute the graph processing across multiple servers/nodes. SQL-GR is not bound by memory limits or to a single server/node. Teradata Aster Discovery Platform
Webcast: Gain An Unfair Advantage with a Data Discovery Platform
Teradata Aster Big Analytics Appliance
Next-Generation Graph Analytics: Putting the Network to Work

Integrated with SQL and MapReduce

SQL-GR graph analytic engine integrates tightly with the SQL and SQL-MapReduce engines in Aster Discovery Platform and can be invoked through a single SQL interface. This empowers business analysts, data analysts and data scientists to discover high impact insights by easily combining Graph Analysis with other techniques such as Text and Statistical Analysis. Pre-built Graph functions in Aster Discovery Platform based on the SQL-GR engine which can be invoked from a single SQL interface reduce the complexity of big data analytics. In addition, APIs enable users to develop custom Graph Analysis functions based on the SQL-GR engine and run them in the Aster Discovery Platform. Teradata Aster Discovery Platform
Webcast: Gain An Unfair Advantage with a Data Discovery Platform
Teradata Aster Big Analytics Appliance
Whitepaper: Big Data—What Does It Really Cost?
Next-Generation Graph Analytics: Putting the Network to Work