GigaSpaces has announced that availability of AnalyticsXtreme, a solution that accelerates access to data lakes and data warehouses by up to 100 times. It allows the use of real-time analytics, machine learning and deep learning to develop insights such as predictive maintenance, live risk analysis, fraud detection, location based advertising, dynamic pricing and more.
AnalyticsXtreme powers interactive queries and machine learning models to run simultaneously on both real-time mutable streaming data and on historical data that is stored on data lakes based on Hadoop, Amazon S3 or Azure Blob Storage, as well as data warehouses, such as Snowflake, without requiring a separate data load procedure or data duplication. Moving from on premise to the cloud, or changing technology stacks for example from Cloudera to Amazon S3 is seamless to machine learning applications; increasing flexibility while reducing development and maintenance costs.
Combined with GigaSpaces MemoryXtend module, AnalyticsXtreme allows enterprises to leverage business-driven policy to automatically auto-tier hot and warm data between RAM, Persistent Memory, Storage Class Memory and SSD, as well as automatically move data for cold storage, and archiving to data lakes and data warehouses. By utilizing these advanced mechanisms for intelligent tiering, data is efficiently stored in the right storage layer based on performance, while optimizing infrastructure costs across the entire solution and data lifecycle.
The solution also provides a single logical view of data that spans across real-time and historical data platforms, including SQL, Spark dataset/dataframe as well as BI tools, like Tableau and Looker.
“Today our customers want to not only accelerate batch analytics, but also require event driven analytics and machine learning in real-time for smarter insights that can be acted upon instantly,” saus Yoav Einav, VP Product at GigaSpaces. “AnalyticsXtreme further simplifies enterprise big data architecture in the cloud and on-premise with the fastest software platform that can seamlessly plug and play on existing infrastructure such as Hadoop and Amazon S3. It reduces long ETL processes, eliminates unnecessary data duplication and avoids data ingestion bottlenecks from various data sources.”
AnalyticsXtreme is available as part of the InsightEdge in-memory computing platform which provides high-throughput ACID transactional processing, stream processing, and co-location of applications and analytics to enable organizations to act on time-sensitive data as it is born at millisecond performance.