Fulcrum
Fulcrum is consolidating on Esri, with Google Maps gone September 1
A side-by-side editorial comparison of Apache Baremaps and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Apache Baremaps is a pipeline for building vector map tiles from OpenStreetMap and raster sources, still carrying the incubating designation across every release in this window. The work splits between format support and the tile-serving path: geoparquet reading arrived in 0.8.1 along with vector contours and hillshades generated from raster tiles, while 0.8.2 fixed a Postgres tile store performance issue and added a materialized-views refresher. Release notes open with the same appeal for new contributors every time, which is itself a signal about the size of the community.
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.
Apache Baremaps is a pipeline for building vector map tiles from OpenStreetMap and raster sources, still carrying the incubating designation across every release in this window. The work splits between format support and the tile-serving path: geoparquet reading arrived in 0.8.1 along with vector contours and hillshades generated from raster tiles, while 0.8.2 fixed a Postgres tile store performance issue and added a materialized-views refresher. Release notes open with the same appeal for new contributors every time, which is itself a signal about the size of the community.
Two threads are visible. One is broadening what Baremaps can read and produce — geoparquet in, terrain-derived vector layers out — which pushes it past OSM-to-tiles toward a general geospatial pipeline. The other is making the Postgres-backed tile store hold up under load, with version-dependent query generation and materialized view refreshing suggesting real deployments hit its limits. Cadence has been slowing throughout: roughly nine months between 0.7.1 and 0.7.2, eleven to 0.8.1, then two months to 0.8.2, and nothing published since February 2025.
The entries offer no roadmap statement, and eighteen months without a release makes the incubation status the open question rather than the feature set; nothing here indicates whether graduation or dormancy is the more likely next step.
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.
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.
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
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 Baremaps or Count.
Fulcrum is consolidating on Esri, with Google Maps gone September 1
Omni ships weekly, and almost every week the headline item is an AI feature
Four ODD Platform releases in two weeks, and not one of them changes the product
Deequ ships GitHub tags whose release notes are one commit message long
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen's last release was a config flag, and the feed has been silent for two years
See all Apache Baremaps alternatives → · See all Count alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), 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.
Top Apache Baremaps alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Baremaps alternatives" section above for the current picks, or visit /alternatives/baremaps for the full list with editorial commentary on each.
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.