Every database has indexes.

You don’t copy the table into the index.
You don’t govern it separately.
You don’t build ETL pipelines to keep it in sync.

An index is an acceleration structure, not a second source of truth.

So why does every search platform ask you to copy your data first?

With IndexTables 0.5.0, that changes.

Introducing Companion Mode — a fundamentally new way to add full-text search to your existing Delta Lake tables, Apache Iceberg tables, or raw Parquet datasets, without duplicating your data.

We're excited to announce the release of IndexTables 0.4.5, a milestone update that advances performance, stability, usability, and cloud-scale readiness for large-scale data workloads.

Since the 0.4.0 line, the IndexTables project has stayed focused on a simple goal: bring blazing-fast full-text search and analytics to Spark, running entirely inside your existing Spark cluster—no external services or additional infrastructure required. The result is dramatically faster search and aggregation compared to traditional table formats, with 100×–1000× speedups observed in real-world applications for interactive log analytics and cybersecurity workloads.

But performance is only the starting point.

We're excited to launch the official IndexTables website — and to share our vision for open search in the lakehouse era.