OpenMetadata
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
A side-by-side editorial comparison of Countly and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Countly's two LTS lines now get the same security fixes within a week of each other.
Countly ships security patches on two LTS lines, 25.03 and 24.05. In late October 25.03.56 moved the Docker images to Node.js 24.22.1 for a Brotli CVE and brought Python 3.12.15 to the A/B testing stack; 25.03.58 tightened tokens: app-restricted tokens must state their permissions, password changes revoke a member's tokens, and single-use tokens hold under concurrent requests. 24.05.55 then brought those same fixes to the older line, including the isolated-vm sandbox for custom hook code that 25.03 adopted in August.
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
Countly ships security patches on two LTS lines, 25.03 and 24.05. In late October 25.03.56 moved the Docker images to Node.js 24.22.1 for a Brotli CVE and brought Python 3.12.15 to the A/B testing stack; 25.03.58 tightened tokens: app-restricted tokens must state their permissions, password changes revoke a member's tokens, and single-use tokens hold under concurrent requests. 24.05.55 then brought those same fixes to the older line, including the isolated-vm sandbox for custom hook code that 25.03 adopted in August.
The work is about access control and supply chain, not new analytics features. Tokens, sessions and login counting are being tightened release by release, and the 24.05 line is being pulled up to the 25.03 runtime (Node.js 22 for custom code, Python 3.12 with CmdStanPy for A/B testing) instead of being left on older stacks. Feature work shows up only in small items such as explicitly named databases and a licence payment-overdue banner.
Expect more paired patches as token and session hardening continues on both lines. The entries don't say how long 24.05 will keep receiving backports.
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
The Dagster+ MCP server has grown release by release, from launching runs without a code location in September to controlling schedules, sensors and partitions now. Combined with the dbt split, Dagster is trimming legacy dependencies while making the orchestrator something an agent can operate, not just a person in the UI.
The MCP server still lacks write access to things like backfills and alert policies, so expanding it there is the most visible next step; further Python and dbt version floors are likely to follow the 3.10 cut.
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 Countly or Dagster.
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio opens the 2026.11 train with another NOTICE file update.
See all Countly alternatives → · See all Dagster alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Countly and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). 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. Countly and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Countly alternatives in Analytics are ranked by recent ship velocity. Browse the "Countly alternatives" section above for the current picks, or visit /alternatives/countly for the full list with editorial commentary on each.
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.