pg_deltax: Apache-licensed time-series extension for PostgreSQL
DeltaX is a PostgreSQL extension designed for efficient time-series data management. It offers features like compression and columnar storage while maintaining compatibility with standard PostgreSQL functionalities. Although it ranks lower than specialized analytical stores, it excels in storing data within PostgreSQL itself.
- ▪DeltaX is an Apache-licensed extension for PostgreSQL that provides compression and columnar storage for time-series data.
- ▪It ranks higher than other PostgreSQL-based systems in benchmarks, despite being lower than specialized analytical stores like ClickHouse.
- ▪DeltaX supports faster data loading from Parquet files and offers a compression ratio of about 7× on specific datasets.
3 outlets in our directory ran this story, first to last over 1 hour. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Fast time-series Postgres extension, written in Rust — r/rust
- ▪ pg_deltax (δx): Fast time-series extension for PostgreSQL — r/PostgreSQL
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/xataio/deltax |
| Publication time | Tue, 19 May 2026 13:29:50 -0500 |
| Retrieval time | 2026-05-19T18:34:57.931Z |
| Last seen | 2026-05-19T18:34:57.931Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 0wBGc04yRJJr · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
DeltaX (δx) - Fast time-series extension for PostgreSQL DeltaX (δx) is a PostgreSQL extension offering compression and columnar storage for time-series data. It can be used as a pure open-source (Apache 2.0) alternative to TimescaleDB or as a PostgreSQL-native alternative to dedicated analytics stores like ClickHouse, when you'd like your data to stay in Postgres. δx stores the compressed columnar data in regular Postgres tables. It does not use its own storage format on disk. The advantage of this approach is that features like physical/logical replication, crash recovery, backups, and pg_dump work as for any other Postgres table.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.