TIBCO ComputeDB In-memory Database Fused with Apache Spark

Unleash the power of data to meet business demands

The TIBCO ComputeDB™ in-memory optimized analytics database, based on Apache Spark™ and Apache Geode™ (open-source version of GemFire™), delivers high throughput, low latency, and high concurrency for unified analytic workloads. Combine interactive and streaming analytics with artificial intelligence in a single, easy to manage distributed cluster.

Benefits

Speed-of-thought Analytics

Innovate and compete more effectively by analyzing and gaining actionable insights from all your data, regardless of its volume, velocity, or variety. Enable analytics at true interactive speeds and eliminate the need for many database optimization tasks.

Higher Performance, Lower TCO

Realize higher performance and lower TCO for the enterprise through seamless integration of Apache Spark (as a big data computational engine) with Apache Geode (as an in-memory transactional store with scale-out SQL semantics). Streaming analytics, OLTP/OLAP, and machine learning in a single integrated database helps data scientists and data engineers work together more effectively to tackle your biggest challenges.

Any Data, Any Source, Any Cloud

Explore and analyze any data across sources such as streaming; Parquet; Hive; and JSON/XML, NoSQL, relational, and cloud databases; text files, and more.

Flexible Compatibility

Run your Apache Spark programs without changes because the TIBCO ComputeDB in-memory database is 100% compatible with Apache Spark. Applications access the data using JDBC/ODBC/REST, or simply use the enhanced Spark API via Scala, Java, R, or Python.

Capabilities

Apache, Spark and Apache Spark are trademarks of the Apache Software Foundation" https://www.apache.org/