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Comparison · Analytics

Count vs OpenReplay

A side-by-side editorial comparison of Count and OpenReplay — release velocity, themes, recent moves, and the top alternatives to consider.

Count vs OpenReplay: at a glance

FeatureCountOpenReplay
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d00
Top themesagentic-analytics, mcp, public-api, warehouse-connectorssession replay, self-hosted, go, dependency upgrades
Last editorial update4mo ago22h ago
WebsiteVisit →Visit →

What is 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.

Read the full Count trajectory →

What is OpenReplay?

OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.

On Oct 28 OpenReplay pushed backup tags on the 1.25, 1.26 and 1.27 lines that migrate the Go backend to pgx v5, bump vulnerable Go dependencies such as golang.org/x/net, and then fix a replay query that broke under the migration by casting issue_types to text. The previous days moved the assist and sourcemap-reader services to Node 26 LTS on the same lines and on 1.22.

Read the full OpenReplay trajectory →

Count vs OpenReplay: editorial side-by-side

C
Count
ANALYTICS
6.3

Count is turning its BI canvas into a governed, agent-operated analytics platform.

◆ Current state

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.

◆ Where it's heading

Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.

◆ Prediction

Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.

O
OpenReplay
ANALYTICS
5.0

OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.

◆ Current state

On Oct 28 OpenReplay pushed backup tags on the 1.25, 1.26 and 1.27 lines that migrate the Go backend to pgx v5, bump vulnerable Go dependencies such as golang.org/x/net, and then fix a replay query that broke under the migration by casting issue_types to text. The previous days moved the assist and sourcemap-reader services to Node 26 LTS on the same lines and on 1.22.

◆ Where it's heading

The release feed is all maintenance: dependency and runtime upgrades backported to several self-hosted lines at once, published as timestamped backup tags without feature notes. The quick follow-up fix shows the pgx migration is touching real query paths.

◆ Prediction

Expect more backup tags as the pgx v5 change reaches 1.22 and any further query fixes land; nothing in the entries points to a feature release.

Alternatives to Count and OpenReplay

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 Count or OpenReplay.

See all Count alternatives → · See all OpenReplay alternatives →

Recent activity from Count and OpenReplay

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoOpenReplay1.25: replay query fix after pgx v5 migration
  2. 1d agoOpenReplay1.26: replay query fix after pgx v5 migration
  3. 1d agoOpenReplay1.27: replay query fix after pgx v5 migration
  4. 1d agoOpenReplay1.25: pgx v5 migration and Go dependency patches (re-cut)
  5. 1d agoOpenReplay1.25: pgx v5 migration and Go dependency patches
  6. 1d agoOpenReplay1.26: pgx v5 migration and Go dependency patches
  7. 4mo agoCountConnect external MCP servers to the Count agent ⚡
  8. 5mo agoCountDashed lines
  9. 5mo agoCountNew workspace home
  10. 6mo agoCountClickHouse support
  11. 6mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
  12. 6mo agoCountPublic API and MCP server ⚡

Frequently asked questions

What is the difference between Count and OpenReplay?

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 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.

Is Count better than OpenReplay?

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 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.

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.

What are the best alternatives to OpenReplay?

Top OpenReplay alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenReplay alternatives" section above for the current picks, or visit /alternatives/openreplay for the full list with editorial commentary on each.