New Functionality Makes it Easier and More Efficient to Develop and Deploy Large Scale, Mission Critical AI and ML Applications that Drive Better Business Outcomes
by Suman Gupta
India – May , 2021—Aerospike Inc., today unveiled an innovation strategy that leverages the scale and performance of its real-time data platform to enhance and streamline query capabilities on massive data sets.
The strategy and first series of innovations—revealed during Aerospike Digital Summit—remove the bottlenecks from today’s traditional data architectures that struggle to keep up with data ingest at the edge and artificial intelligence (AI) and machine learning (ML) model drift due to managing data across multiple disparate systems.
Today’s “Reimagine Realtime” Summit presentations showcased innovations and integrations in Aerospike Database 5 that enable massive data sets to run instantly at the edge and the core of the enterprise, enabling data models to be quickly updated with fresh data.
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Set Indexes provide efficient access to a Set within an Aerospike Namespace. This feature allows fast queries of records within a Set in a petabyte scale database.
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Expressions Enhancements extend read and write operations with expressions, and new functionality through composition, moving processing closer to the data for greater efficiency.
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Aerospike Connect for Spark now lets Apache Spark 3.0 applications easily combine streaming and historical data for better decisioning, and reduces the processing time for model iterations and improvements from weeks or days to just hours or minutes.