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Comparison · Analytics
Apache Cloudberry vs Count
A side-by-side editorial comparison of Apache Cloudberry and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Cloudberry vs Count: at a glance
What is Apache Cloudberry?
Apache Cloudberry ships 2.2.0 after three release candidates.
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from Greenplum. 2.2.0-incubating went final on November 3 after rc1 (September 3), rc2 (October 7) and rc3 (October 20). The release entry carries no notes of its own.
What is Count?
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
Apache Cloudberry vs Count: editorial side-by-side
Apache Cloudberry
5.0ANALYTICS
Apache Cloudberry ships 2.2.0 after three release candidates.
◆ Current state
Apache Cloudberry is an open-source MPP analytics database in the Apache Incubator, derived from Greenplum. 2.2.0-incubating went final on November 3 after rc1 (September 3), rc2 (October 7) and rc3 (October 20). The release entry carries no notes of its own.
◆ Where it's heading
The project now ships on a roughly six-month cycle (2.0 in September 2025, 2.1 in May, 2.2 in November), each going through two or three voted candidates. The process is steady; what changed in 2.2 isn't visible in these entries.
◆ Prediction
A 2.3.0 rc1 is the next likely tag, probably in early 2027 if the cadence holds.
Count
6.3ANALYTICS
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
◆ Current state
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
◆ Where it's heading
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
◆ Prediction
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Alternatives to Apache Cloudberry and Count
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 Apache Cloudberry or Count.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
Rho
Rho 0.5.3 lets Claude sessions run without Rho's own step and time caps.
Displayr
Displayr moves custom visualizations to their own domain, so videos, maps and saved settings work.
Calibre
Calibre MCP lets your coding agent read RUM and Lighthouse data, then fix the slow code
Plausible
Plausible removes the goal setup step from funnels.
See all Apache Cloudberry alternatives → · See all Count alternatives →
Recent activity from Apache Cloudberry and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 16h agoApache CloudberryApache Cloudberry 2.2.0 final release
- 5d agoCountReasoning Chains ⚡
- 14d agoApache CloudberryApache Cloudberry 2.2.0 third release candidate
- 19d agoCountLonger agent conversations
- 27d agoApache CloudberryApache Cloudberry 2.2.0 second release candidate
- 1mo agoCountNo gaps while catalog views refresh
- 2mo agoCountSSO sign-in banner and clearer SQL Server errors
- 2mo agoApache CloudberryApache Cloudberry 2.2.0 first release candidate
- 2mo agoCountA faster start from an empty canvas
- 2mo agoCountNew sign-in and sign-up
- 6mo agoApache CloudberryApache Cloudberry 2.1.0 official release
- 7mo agoApache CloudberryApache Cloudberry 2.1.0 second release candidate
Frequently asked questions
What is the difference between Apache Cloudberry and Count?
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), 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.
Is Apache Cloudberry better than Count?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), 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.
What are the best alternatives to Apache Cloudberry?
Top Apache Cloudberry alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Cloudberry alternatives" section above for the current picks, or visit /alternatives/apache-cloudberry for the full list with editorial commentary on each.
What are the best alternatives to Count?
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.