ScyllaDB Added Full-Text Search to Version 2026.3
The latest release enables combined lexical and semantic search, targeting low-latency enterprise workloads.
Updated on Oct. 6, 2026 in Data Centers
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ScyllaDB has released Full-Text Search as part of its version 2026.3 software and X Cloud platform. This update allows users to perform BM25-ranked keyword retrieval alongside existing vector search capabilities within the same database environment.
Why it matters
By supporting lexical search for identifiers and error codes alongside semantic data, the update addresses the latency-sensitive requirements of complex enterprise applications. It allows developers to unify disparate search workflows without migrating data between separate platforms.
ScyllaDB 2026.3 implements full-text indexes on dedicated nodes, keeping data in memory to support CQL-native querying. This configuration is designed for high-throughput environments that require simultaneous lexical and semantic retrieval.
The players
ScyllaDB
A developer of high-performance, low-latency NoSQL database software used by over 400 companies.
The details
The implementation relies on dedicated indexing nodes that maintain full-text indexes directly in memory. This architecture allows developers to use BM25—a ranking function used by search engines to estimate the relevance of documents to a given search query—alongside vector search for semantic analysis. Applications can now execute both types of queries on the same underlying data structures, reducing the need for multi-system integration.
Timeline
October 6, 2026: ScyllaDB released Full-Text Search as part of version 2026.3.
The Tech Race
ScyllaDB aims to capture search workloads currently managed by specialized engines like OpenSearch. Its trajectory involves integrating search natively into the database stack, a departure from traditional setups that require secondary systems.
Developers can now utilize native CQL querying to perform both keyword and semantic searches, streamlining workflows that previously required cross-platform synchronization. These tools are available immediately for users deploying version 2026.3 or the X Cloud platform.
The takeaway
This release shifts database capabilities toward a unified search-and-store model, simplifying infrastructure for high-throughput applications. Readers should monitor upcoming performance benchmarks at P99 CONF to evaluate the efficiency of memory-resident full-text indexing versus traditional engines.
What happens next
P99 CONF will feature a technical talk benchmarking ScyllaDB Full-Text Search against OpenSearch, featuring over 60 industry talks.
Further reading
For broader trends in database infrastructure, explore our Data Centers section.
More information
Find complete technical documentation and platform updates at ScyllaDB official database information.
Source note: This article includes information reported by The Manila times.
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