Aim
An experiment tracker grinding on storage performance — and quiet for over a year.
A side-by-side editorial comparison of Parseable and Citus — release velocity, themes, recent moves, and the top alternatives to consider.
Parseable is bolting real auth onto a log store — API keys, dataset permissions, Kafka IAM.
The 2.7 through 2.9 line is dominated by authentication and access control. API keys arrived for ingestion and query, then as a managed feature, then had a security risk patched within weeks. Dataset-level user auth landed, OAuth sync was fixed, and the newest release adds AWS MSK IAM authentication over SASL/OAUTHBEARER plus a configurable OAuth provider for Kafka ingestion. Around it sit steady query and ingestion improvements: top-k in the counts API, insertion-time rather than data-time eviction, and field statistics reworked for high-volume ingestion.
Citus is in maintenance mode across four branches, with the feature work invisible from the feed.
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
The 2.7 through 2.9 line is dominated by authentication and access control. API keys arrived for ingestion and query, then as a managed feature, then had a security risk patched within weeks. Dataset-level user auth landed, OAuth sync was fixed, and the newest release adds AWS MSK IAM authentication over SASL/OAUTHBEARER plus a configurable OAuth provider for Kafka ingestion. Around it sit steady query and ingestion improvements: top-k in the counts API, insertion-time rather than data-time eviction, and field statistics reworked for high-volume ingestion.
This is a project moving from single-tenant tool to something an organisation can hand to multiple teams: credentials that can be scoped and revoked, datasets that respect who is asking, and ingestion paths that authenticate against managed cloud services rather than static secrets. The speed with which an API key security risk appeared and was fixed shows the auth surface is new enough to still be settling.
Expect the access control work to continue toward finer granularity — dataset permissions are in place, so per-key scoping and audit trails are the natural next steps. The Kafka OAuth provider being made configurable rather than MSK-specific suggests more managed-broker integrations follow.
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
The shape here is a mature extension keeping several supported branches alive rather than pushing new capability. Correctness is the live concern: the 12.1 patches fix wrong query results, an EXPLAIN segfault, a standby coordinator crash and a deadlock, all backported from work done on newer branches. Note that the release notes are thin by design — 13.3 and 14.1 list only PR titles for backports and test plumbing, so the feed understates whatever is landing on the main line.
More 12.1 patch tags are the safe expectation while that branch stays supported. Whether the 14.x line picks up new distributed-query features is not visible from these entries — the notes only cover backports, so the main-branch work would have to be read elsewhere.
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 Parseable or Citus.
An experiment tracker grinding on storage performance — and quiet for over a year.
Every Glances release this year has carried CVE fixes — the monitoring tool is being audited in public.
Zipkin's last release was January 2025 — a dependency bump, and then nothing.
One release turns a telemetry store into synthetics, workflows, and AI observability.
Chord rebuilt Copilot, renamed it, and let it start building the audiences it used to describe
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
See all Parseable alternatives → · See all Citus alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Parseable is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 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. Parseable is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 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 Parseable alternatives in Analytics are ranked by recent ship velocity. Browse the "Parseable alternatives" section above for the current picks, or visit /alternatives/parseable for the full list with editorial commentary on each.
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.