SINGLESTORE OFFERS BI-DIRECTIONAL INTEGRATION WITH APACHE ICEBERG TO 'THAW' DATA LAKEHOUSES

KUALA LUMPUR, June 27 (Bernama) -- Real-time data platform, SingleStore, has announced a bi-directional integration with Apache Iceberg that opens up a world of opportunities for building intelligent applications on data lakehouses.

“Our vision has always been to provide one single data store for all companies to be able to take advantage of speed, scale and simplicity.

“With this release, we believe we are enabling a significant portion of the market that today cannot build real-time modern applications on data stored in data lakes,” said SingleStore Chief Executive Officer, Raj Verma in a statement.

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This integration addresses the critical challenge faced by enterprises where an estimated 90 per cent of data remains ‘frozen’ in lakehouses and is unusable for powering interactive applications, analytics or artificial intelligence (AI).

Apache Iceberg is the de facto standard for data lakes for storing massive datasets, offering cost efficiency for querying large-scale datasets. However, enterprises struggle to leverage this data due to complex and costly processes required to ‘thaw’ it.

SingleStore’s new integration is intended to solve precisely that, providing low-latency ingestion, bi-directional data flow and real-time application performance at lower costs for modern intelligent applications and analytics.

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This offering is currently available in public preview and customers will soon be able to create external tables in SingleStore based on Iceberg data, build projections on these tables and take advantage of the speed and performance of SingleStore on frozen data.

SingleStore’s customers, many of whom use Apache Iceberg for their data lakes and commercial lakehouses, have expressed a strong interest in a solution that enables fast interactive applications and low-latency analytics using their vast, untapped Iceberg data.

-- BERNAMA