ANALYTICS
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Alternatives · analytics tools
Apache Superset alternatives
The best Apache Superset alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 11, 2026
Looking for the best alternatives to Apache Superset? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, Apache Superset shipped 0 meaningful updates in the last 30 days and carries a velocity score of 5.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About Apache Superset
Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.
Every entry in this feed is a Helm chart tag from the apache/superset repository, carrying no notes beyond a one-line project blurb. The chart has moved from 0.19.0 to 0.22.5 in about six weeks, a packaging cadence rather than an application one. Nothing here describes a change to Superset's dashboards, SQL Lab, or semantic layer.
Velocity 5.0 · Last update 1d ago
Top 12 alternatives to Apache Superset
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
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Fulcrum is consolidating on Esri, with Google Maps gone September 1
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Omni ships weekly, and almost every week the headline item is an AI feature
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Hex is moving its agent out of the notebook and onto programmable surfaces.
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Parseable's 3.0 turns a log store into a logs, metrics, traces and APM console.
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LinkedIn's Iceberg control plane, shipping one pull request per release.
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Mimir's feed is mostly Helm automation; the real work is inside the query engine.
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Superset's tracked feed is a Helm chart tag stream with no notes attached.
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Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
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Quantum chemistry package adding whole method families every release.
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OpenMC's random ray solver has gone from new arrival to the centre of every release
Apache Superset 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 |
|---|---|---|---|---|
| Apache Superset (baseline) | 5.0 | 0 | helm-chartpackagingdeployment | — |
| 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 | helmpackagingdeployment | — |
| Appfigures | 3.8 | 1 | app-analyticsagenticaso | Introducing the Appfigures CLI |
| PySCF | 2.5 | 0 | quantum-chemistryperiodic-systemscoupled-cluster | — |
| OpenMC | 2.5 | 0 | monte-carlo-transportrandom-raydepletion | OpenMC 0.15.0 introduces a random ray transport solver |
The 12 best Apache Superset 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 Apache Superset'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 Apache Superset leans on helm chart, packaging and deployment, ApexCharts focuses on open core, licensing and charting.
Over the last 30 days ApexCharts has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare Apache Superset 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 Apache Superset'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 Apache Superset leans on helm chart, packaging and deployment, dbt Core focuses on dbt fusion, rust rewrite and static analysis.
Over the last 30 days dbt Core has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full dbt Core trajectory → · Compare Apache Superset vs dbt Core →
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 Apache Superset leans on helm chart, packaging and deployment, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and Apache Superset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Fulcrum trajectory → · Compare Apache Superset vs Fulcrum →
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 Apache Superset'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 Apache Superset leans on helm chart, packaging and deployment, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than Apache Superset — 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 Apache Superset'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 Apache Superset leans on helm chart, packaging and deployment, Hex focuses on agents, cli and mcp.
Over the last 30 days Hex has been shipping faster than Apache Superset — 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 Apache Superset'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 Apache Superset leans on helm chart, packaging and deployment, Parseable focuses on observability, promql and opentelemetry.
Over the last 30 days Parseable has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Parseable trajectory → · Compare Apache Superset vs Parseable →
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 Apache Superset leans on helm chart, packaging and deployment, OpenHouse focuses on iceberg, data lakehouse and table metadata.
OpenHouse and Apache Superset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenHouse trajectory → · Compare Apache Superset vs OpenHouse →
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 Apache Superset leans on helm chart, packaging and deployment, Grafana Mimir focuses on query engine, promql and native histograms.
Grafana Mimir and Apache Superset 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 Apache Superset vs Grafana Mimir →
9. 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 Apache Superset leans on helm chart, packaging and deployment, Apache Superset focuses on helm, packaging and deployment.
Apache Superset and Apache Superset 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 Apache Superset vs Apache Superset →
10. 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 Apache Superset's 0, most recently “Introducing the Appfigures CLI”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where Apache Superset leans on helm chart, packaging and deployment, Appfigures focuses on app analytics, agentic and aso.
Over the last 30 days Appfigures has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Appfigures trajectory → · Compare Apache Superset vs Appfigures →
11. 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 Apache Superset leans on helm chart, packaging and deployment, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and Apache Superset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full PySCF trajectory → · Compare Apache Superset vs PySCF →
12. OpenMC · velocity 2.5
OpenMC's random ray solver has gone from new arrival to the centre of every release.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “OpenMC 0.15.0 introduces a random ray transport solver”.
Where Apache Superset leans on helm chart, packaging and deployment, OpenMC focuses on monte carlo transport, random ray and depletion.
OpenMC and Apache Superset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenMC trajectory → · Compare Apache Superset vs OpenMC →
Frequently asked questions
What are the best alternatives to Apache Superset?
The top Apache Superset alternatives we currently track in analytics tools are ApexCharts, dbt Core, Fulcrum, Omni, Hex, ranked by recent ship velocity.
How is this list of Apache Superset alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare Apache Superset directly with one of these alternatives?
Yes — every card has a "Compare with Apache Superset" link to a side-by-side /compare page.