SingleStoreDB has announced a new platform release that includes bi-directional integration with Apache Iceberg, a popular open-source table format for large-scale analytics. The integration enables features such as schema evolution, time travel, and transactional support. The latest release also offers faster vector search, enhanced full-text search, and autoscaling capabilities. These advancements aim to unfreeze data lakehouses and power intelligent applications. The announcement underscores SingleStoreDB's commitment to improving data storage and analytics capabilities. A Q&A with Dave Eyler provided additional insights into the integration.
SingleStoreDB joins the Apache Iceberg bandwagon https://t.co/UkKWlLBZfY
SingleStore Turbocharges Data Lakehouses with Iceberg Support and Faster Vector Search https://t.co/6iYXsQtgwM
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SingleStore Unveils New Offerings to Unfreeze Data Lakehouses, Powering Intelligent Applications https://t.co/H2rqWYg3jR #storage #lakehouse @SingleStoreDB
Apache Iceberg, an #OpenSource table format for large-scale analytics, allows for fine-grained control over data, enabling features like schema evolution, time travel, and transactional support. 🧊 https://t.co/aI6BHX2aJW #InfluxDB #OSS
ICYMI yesterday we announced our latest platform release. It includes bi-directional integration for Apache #Iceberg faster #vector search + enhanced full-text search, #Autoscaling & more! 🏊♂️ Let’s dive in: https://t.co/kggt9cXZuX #SingleStore #launch #AI #database
#News On @SingleStoreDB native integration with @ApacheIceberg . Q&A with Dave Eyler https://t.co/vfbVdBryAL https://t.co/BtoCGtJjkX