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Full-Text Search and Object Storage Backend

1 post · Sep 2026

What this trail covers

ScyllaDB 2026.3 enhances its capabilities with the introduction of Full-Text Search (FTS) using BM25 relevance scoring, a preview of an object storage backend for S3, and improved Oracle Cloud Infrastructure (OCI) integration. The release also includes large data guardrails for cluster stability and experimental features like Strongly Consistent Tables and vNode-to-Tablet online migration. FTS allows direct keyword searches within CQL via a `fulltext_index` and `MATCH()` function, complementing ScyllaDB Vector Search for RAG and agentic AI use cases. The object storage backend is suitable for write-intensive, storage-bound workloads. Large data guardrails detect and control unsafe data patterns. Cluster-wide restore from object storage is now available for tablet-based tables. OCI support is extended with native backup and restore to OCI Object Storage.

All ScyllaDB trails
  1. Full-Text Search, Object Storage Backend, and More in ScyllaDB 2026.3This post details the introduction of Full-Text Search (FTS) in ScyllaDB 2026.3, enabling keyword searches via a new `fulltext_index` and `MATCH()` function with BM25 relevance scoring. It also announces a preview of an S3 object storage backend for ScyllaDB clusters, particularly beneficial for write-intensive, storage-bound use cases. The release includes large data guardrails for cluster stability, covering large partitions, rows, cells, and collections with soft and hard limits. A new cluster-wide restore operation from object storage for tablet-based tables is introduced, allowing direct replica downloads from buckets. OCI support is enhanced with native backup and restore to OCI Object Storage.