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High-Performance Analytics for Big Data with Actian Matrix
1. Key Benefits
Fast Analytics.
Achieve up to 100x performance
improvements.
Massive Scalability.
Linear scaling lets you analyze any
amount of data or level of detail while
maintaining quality and performance,
on-premises or in cloud or hybrid
environments.
Business Agility.
Customize, iterate and launch
analytic applications faster. Reduce
friction and react in real-time
to dynamic market conditions,
increasing analytic sophistication,
changing user needs, and evolving
data analytics infrastructure.
Extreme Value.
Improve price-performance up to
200x compared with traditional
systems or analytic appliances.
High-Performance Analytics for the Enterprise
Tackle big data 2.0 initiatives with Actian Matrix. Its massively parallel architecture,
columnar database structure and in-database analytics deliver unrivaled
performance and scalability. Query optimization and extensibility frameworks and
a library of advanced analytic functions help you transform big data into actionable
insights and business value.
Massively Parallel Processing Architecture
Actian Matrix is geared to the demands of massive data, many users and significant
analytic complexity.
• Columnar Database Structure: Query all of your data and get precisely the
data you need, without the burden of handling extraneous data returned by
traditional row-oriented databases.
• Adaptive Compression: Maximize query performance while conserving
storage resources thanks to data compression that adapts to match data types.
• Dynamic Compilation: Queries compiled at execution deliver performance up
to 100 times faster for analytic joins and up to 50 times faster for more complex
queries and aggregations.
• High-Speed Network Interconnect: Communication between nodes within
an Actian Matrix cluster takes place using a custom UDP-based protocol,
supporting near-linear scalability.
• In-Memory Analytics: High-performance and parallelism support a 10-100x
improvement in analytic performance.
• Adaptive Workload Management: Analytic workloads of groups and
applications are intelligently balanced based on defined priorities and available
resources so you can deliver timely insights to all users. Resource groups can
be defined by user, department, application, or query type; and each group can
be assigned a unique priority weighting. More efficient workload management
and more productive users lead to more analytic value.
Unconstrained Analytics
Analyze efficiently. The Actian Matrix Optimizer Framework adjusts concurrent
queries, handles more than 1,000 joins, and dynamically shares computing
resources to run analytics across an unlimited number of nodes. Complex analytics
are converted into simpler logical components. Each query travels the optimal path
given the traffic conditions at run time. Actian makes it easy to create and add your
own optimizations for: SQL, Planning, Execution, Communications and I/O.
Extreme SQL Rewrite Optimization
Rewrites logical query expressions to alternative yet semantically equivalent
forms. Applies fundamental non-rule-based as well as iterative rule-based
transformations that are re-expressed as SQL text and then re-parsed. Predicate
optimizations improve when and how data is filtered during execution of a
query plan.
Actian Analytics Database -
Matrix
Data Sheet