ANALYTICS
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Alternatives · analytics tools
Count alternatives
The best Count alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 11, 2026
Looking for the best alternatives to Count? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, Count shipped 0 meaningful updates in the last 30 days and carries a velocity score of 6.3 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About Count
Count is turning its BI canvas into a governed, agent-operated analytics platform.
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
Velocity 6.3 · Last update 1mo ago
Top 12 alternatives to Count
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
ANALYTICS
Fulcrum is consolidating on Esri, with Google Maps gone September 1
ANALYTICS
Omni ships weekly, and almost every week the headline item is an AI feature
ANALYTICS
Hex is moving its agent out of the notebook and onto programmable surfaces.
ANALYTICS
Parseable's 3.0 turns a log store into a logs, metrics, traces and APM console.
ANALYTICS
LinkedIn's Iceberg control plane, shipping one pull request per release.
ANALYTICS
Mimir's feed is mostly Helm automation; the real work is inside the query engine.
ANALYTICS
Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.
ANALYTICS
Superset's tracked feed is a Helm chart tag stream with no notes attached.
ANALYTICS
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
ANALYTICS
Quantum chemistry package adding whole method families every release.
Count vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| Count (baseline) | 6.3 | 0 | agentic-analyticsmcppublic-api | Connect external MCP servers to the Count agent |
| ApexCharts | 10.0 | 3 | open-corelicensingcharting | Sunburst charts arrive; premium features now need an entitled plan |
| dbt Core | 7.5 | 2 | dbt-fusionrust-rewritestatic-analysis | dbt Fusion 2.0 reaches first beta with catalog-free SQL binding |
| Fulcrum | 6.3 | 0 | field-data-collectionesri-arcgisoffline-maps | — |
| Omni | 6.3 | 1 | business-intelligencesemantic-modelai-routines | AI semantic model generation goes generally available in Omni |
| Hex | 6.3 | 1 | agentsclimcp | Hex Agent becomes callable from the CLI and API |
| Parseable | 6.3 | 1 | observabilitypromqlopentelemetry | Parseable 3.0 adds PromQL alerts, APM and dashboard templates |
| OpenHouse | 5.0 | 0 | icebergdata-lakehousetable-metadata | — |
| Grafana Mimir | 5.0 | 0 | query-enginepromqlnative-histograms | — |
| Apache Superset | 5.0 | 0 | helm-chartpackagingdeployment | — |
| Apache Superset | 5.0 | 0 | helmpackagingdeployment | — |
| Appfigures | 3.8 | 1 | app-analyticsagenticaso | Introducing the Appfigures CLI |
| PySCF | 2.5 | 0 | quantum-chemistryperiodic-systemscoupled-cluster | — |
The 12 best Count alternatives, in depth
1. ApexCharts · velocity 10.0
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Over the last 30 days ApexCharts shipped 3 meaningful updates vs Count's 0, most recently “Sunburst charts arrive; premium features now need an entitled plan”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, ApexCharts focuses on open core, licensing and charting.
Over the last 30 days ApexCharts has been shipping faster than Count — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare Count vs ApexCharts →
2. dbt Core · velocity 7.5
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
Over the last 30 days dbt Core shipped 2 meaningful updates vs Count's 0, most recently “dbt Fusion 2.0 reaches first beta with catalog-free SQL binding”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, dbt Core focuses on dbt fusion, rust rewrite and static analysis.
Over the last 30 days dbt Core has been shipping faster than Count — a point in its favour if release momentum matters to you.
3. Fulcrum · velocity 6.3
Fulcrum is consolidating on Esri, with Google Maps gone September 1.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. Omni · velocity 6.3
Omni ships weekly, and almost every week the headline item is an AI feature.
Over the last 30 days Omni shipped 1 meaningful update vs Count's 0, most recently “AI semantic model generation goes generally available in Omni”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than Count — a point in its favour if release momentum matters to you.
5. Hex · velocity 6.3
Hex is moving its agent out of the notebook and onto programmable surfaces.
Over the last 30 days Hex shipped 1 meaningful update vs Count's 0, most recently “Hex Agent becomes callable from the CLI and API”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Hex focuses on agents, cli and mcp.
Over the last 30 days Hex has been shipping faster than Count — a point in its favour if release momentum matters to you.
6. Parseable · velocity 6.3
Parseable's 3.0 turns a log store into a logs, metrics, traces and APM console.
Over the last 30 days Parseable shipped 1 meaningful update vs Count's 0, most recently “Parseable 3.0 adds PromQL alerts, APM and dashboard templates”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Parseable focuses on observability, promql and opentelemetry.
Over the last 30 days Parseable has been shipping faster than Count — a point in its favour if release momentum matters to you.
7. OpenHouse · velocity 5.0
LinkedIn's Iceberg control plane, shipping one pull request per release.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, OpenHouse focuses on iceberg, data lakehouse and table metadata.
OpenHouse and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. Grafana Mimir · velocity 5.0
Mimir's feed is mostly Helm automation; the real work is inside the query engine.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Grafana Mimir focuses on query engine, promql and native histograms.
Grafana Mimir and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Grafana Mimir trajectory → · Compare Count vs Grafana Mimir →
9. Apache Superset · velocity 5.0
Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Apache Superset focuses on helm chart, packaging and deployment.
Apache Superset and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Apache Superset trajectory → · Compare Count vs Apache Superset →
10. Apache Superset · velocity 5.0
Superset's tracked feed is a Helm chart tag stream with no notes attached.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Apache Superset focuses on helm, packaging and deployment.
Apache Superset and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Apache Superset trajectory → · Compare Count vs Apache Superset →
11. Appfigures · velocity 3.8
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
Over the last 30 days Appfigures shipped 1 meaningful update vs Count's 0, most recently “Introducing the Appfigures CLI”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, Appfigures focuses on app analytics, agentic and aso.
Over the last 30 days Appfigures has been shipping faster than Count — a point in its favour if release momentum matters to you.
Full Appfigures trajectory → · Compare Count vs Appfigures →
12. PySCF · velocity 2.5
Quantum chemistry package adding whole method families every release.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where Count leans on agentic analytics, mcp and public api, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and Count have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to Count?
The top Count alternatives we currently track in analytics tools are ApexCharts, dbt Core, Fulcrum, Omni, Hex, ranked by recent ship velocity.
How is this list of Count alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare Count directly with one of these alternatives?
Yes — every card has a "Compare with Count" link to a side-by-side /compare page.