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Three releases in a year, all of them about the Vega dependency — the feed shows nothing else.
A side-by-side editorial comparison of Citus and Basedash — release velocity, themes, recent moves, and the top alternatives to consider.
Citus keeps three Postgres branches alive while chasing each new major
Citus publishes synchronized maintenance releases across at least three live branches — 14.1, 13.3 and 12.1.13 all went out on the same day in July 2026 — with contents that are almost entirely backports of the same handful of upstream fixes. The substantive release in the window is Citus 14.0 from February, which added PostgreSQL 18.1 support. Release titles are inconsistent, several carrying release dates that contradict their publication date.
Basedash turned its AI analyst into an API, then spent two weeks making it auditable
Basedash is an AI data analyst that spent July becoming two things at once: an agent that acts, and infrastructure other products build on. Actions let it write SQL and operate in Stripe, HubSpot, or anything behind an MCP connector; the developer platform exposes chat, daily insights, automations, and dashboards through the public API. The most recent releases are the counterweight to both — SCIM provisioning, then audit logs that record every query the AI itself runs.
Citus publishes synchronized maintenance releases across at least three live branches — 14.1, 13.3 and 12.1.13 all went out on the same day in July 2026 — with contents that are almost entirely backports of the same handful of upstream fixes. The substantive release in the window is Citus 14.0 from February, which added PostgreSQL 18.1 support. Release titles are inconsistent, several carrying release dates that contradict their publication date.
The pattern is a distributed-Postgres extension whose roadmap is set by Postgres itself: a major Citus version tracks a major Postgres version, then a long tail of branch releases carries fixes backward to users who cannot upgrade. Recent backport content is concentrated on correctness in edge cases — role propagation with missing grantor dependencies, deadlocks when adding named constraints with long partition names, crashes in CREATE STATISTICS — plus tightening ownership checks on citus-internal UDFs.
Expect the next Citus major to line up with the next PostgreSQL major, with 12.1 continuing to receive backports until it is retired. The entries do not indicate which branch is nearest end-of-life.
Basedash is an AI data analyst that spent July becoming two things at once: an agent that acts, and infrastructure other products build on. Actions let it write SQL and operate in Stripe, HubSpot, or anything behind an MCP connector; the developer platform exposes chat, daily insights, automations, and dashboards through the public API. The most recent releases are the counterweight to both — SCIM provisioning, then audit logs that record every query the AI itself runs.
Two tracks are converging. The agent keeps gaining reach — write access, MCP connectors, unprompted suggestions drawn from your own data — while the surrounding controls arrive just behind it, each release answering the objection the previous one created. The MotherDuck connector marks a third track: the more the analyst is sold as an API, the more it has to speak to whatever warehouse the customer already runs.
Expect governance to extend to Actions specifically — per-connector or per-action approval policy, since audit logs now record agent writes but the entries describe approval as a case-by-case prompt. More data sources after MotherDuck are the safer bet.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Citus or Basedash.
Three releases in a year, all of them about the Vega dependency — the feed shows nothing else.
Kylin ships once a year with empty release notes and a native engine nobody is being told about.
Iceberg's release cadence is now backports and CVE patches across three live minor lines.
Feature releases every two months in 2024; one bugfix release in the last twelve.
MCP servers became first-class governed assets in 1.13.0 — and 2.0 is now in release candidate.
Every release in this window is columnstore work — compression is where TimescaleDB is spending
See all Citus alternatives → · See all Basedash alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Basedash is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Basedash is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Citus alternatives in Analytics are ranked by recent ship velocity. Browse the "Citus alternatives" section above for the current picks, or visit /alternatives/citus for the full list with editorial commentary on each.
Top Basedash alternatives in Analytics are ranked by recent ship velocity. Browse the "Basedash alternatives" section above for the current picks, or visit /alternatives/basedash for the full list with editorial commentary on each.