ANALYTICS
Neo4j is turning Aura into an agent-native graph platform, MCP and all.
Alternatives · analytics tools
Apache Superset alternatives
The best Apache Superset alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Jul 23, 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 public feed is Helm-chart version bumps, not product releases.
Apache Superset remains a mature open-source BI application, but the changelog SparkPulse crawls is the packaging repo — a stream of superset-helm-chart point releases with identical boilerplate bodies. The actual application changes live elsewhere; what's visible here is deployment plumbing.
Velocity 5.0 · Last update 9h 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.
ANALYTICS
Apify rebuilds its scraping platform around AI agents as the primary user
ANALYTICS
Dovetail is becoming an always-on research agent that works inside your existing tools
ANALYTICS
Lightdash turns its BI layer into an agent-native app platform: API-calling data apps and prompt-built charts
ANALYTICS
Tinybird sets a sunset date for Classic, committing free and dev users to Forward.
ANALYTICS
Chord is betting its analytics future on a ground-up rebuild of its AI Copilot
ANALYTICS
AgencyAnalytics bets on AI-search reporting with AI Tracker while widening its data-source catalog.
ANALYTICS
Trackingplan turns tracking-plan validation into AI-assisted, consent-aware observability.
ANALYTICS
Countly alternates security hardening with journey-engine and data-manager fixes.
ANALYTICS
Fulcrum grinds on mobile field-data reliability while offline computer vision quietly takes shape.
ANALYTICS
The tracked feed is Helm-chart packaging, not Superset's product changelog.
ANALYTICS
Hex hardens its generative-app + agent bet with code editing, more models, and wider distribution.
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 | supersethelm-chartkubernetes | — |
| Neo4j | 7.5 | 2 | graph-databaseagent-nativemcp | MCP for Aura Now Available |
| Apify | 7.5 | 2 | web-scrapingai-agentsmcp | Apify AI (beta) is live. Describe what you need and get results |
| Dovetail | 7.5 | 1 | agentic-researchfeedback-aggregationmcp | Dovetail Agents are now in GA |
| Lightdash | 7.5 | 2 | data-appsai-agentsmcp | 🔌 Data apps can now talk to APIs |
| Tinybird | 6.3 | 1 | clickhouseforward-migrationclassic-sunset | Tinybird Classic sunset for Free and Developer plans |
| Chord | 6.3 | 1 | cdpanalyticsai-copilot | A first look at Copilot Next |
| AgencyAnalytics | 6.3 | 1 | agency-reportingai-search-visibilityaeo | AI Tracker is now in open beta |
| Trackingplan | 5.0 | 0 | analytics-governanceconsent-monitoringai-debugging | — |
| Countly | 5.0 | 0 | countlyproduct-analyticsjourney-engine | — |
| Fulcrum | 5.0 | 0 | field-data-collectiongeospatialarcgis | — |
| Apache Superset | 5.0 | 0 | business-intelligencehelm-chartpackaging | — |
| Hex | 5.0 | 0 | generative appsai agentanalytics | — |
The 12 best Apache Superset alternatives, in depth
1. Neo4j · velocity 7.5
Neo4j is turning Aura into an agent-native graph platform, MCP and all.
Over the last 30 days Neo4j shipped 2 meaningful updates vs Apache Superset's 0, most recently “MCP for Aura Now Available”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Neo4j focuses on graph database, agent native and mcp.
Over the last 30 days Neo4j has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Neo4j trajectory → · Compare Apache Superset vs Neo4j →
2. Apify · velocity 7.5
Apify rebuilds its scraping platform around AI agents as the primary user.
Over the last 30 days Apify shipped 2 meaningful updates vs Apache Superset's 0, most recently “Apify AI (beta) is live. Describe what you need and get results”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Apify focuses on web scraping, ai agents and mcp.
Over the last 30 days Apify has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Apify trajectory → · Compare Apache Superset vs Apify →
3. Dovetail · velocity 7.5
Dovetail is becoming an always-on research agent that works inside your existing tools.
Over the last 30 days Dovetail shipped 1 meaningful update vs Apache Superset's 0, most recently “Dovetail Agents are now in GA”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Dovetail focuses on agentic research, feedback aggregation and mcp.
Over the last 30 days Dovetail has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Dovetail trajectory → · Compare Apache Superset vs Dovetail →
4. Lightdash · velocity 7.5
Lightdash turns its BI layer into an agent-native app platform: API-calling data apps and prompt-built charts.
Over the last 30 days Lightdash shipped 2 meaningful updates vs Apache Superset's 0, most recently “🔌 Data apps can now talk to APIs”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Lightdash focuses on data apps, ai agents and mcp.
Over the last 30 days Lightdash has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Lightdash trajectory → · Compare Apache Superset vs Lightdash →
5. Tinybird · velocity 6.3
Tinybird sets a sunset date for Classic, committing free and dev users to Forward.
Over the last 30 days Tinybird shipped 1 meaningful update vs Apache Superset's 0, most recently “Tinybird Classic sunset for Free and Developer plans”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Tinybird focuses on clickhouse, forward migration and classic sunset.
Over the last 30 days Tinybird has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Tinybird trajectory → · Compare Apache Superset vs Tinybird →
6. Chord · velocity 6.3
Chord is betting its analytics future on a ground-up rebuild of its AI Copilot.
Over the last 30 days Chord shipped 1 meaningful update vs Apache Superset's 0, most recently “A first look at Copilot Next”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Chord focuses on cdp, analytics and ai copilot.
Over the last 30 days Chord has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full Chord trajectory → · Compare Apache Superset vs Chord →
7. AgencyAnalytics · velocity 6.3
AgencyAnalytics bets on AI-search reporting with AI Tracker while widening its data-source catalog.
Over the last 30 days AgencyAnalytics shipped 1 meaningful update vs Apache Superset's 0, most recently “AI Tracker is now in open beta”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, AgencyAnalytics focuses on agency reporting, ai search visibility and aeo.
Over the last 30 days AgencyAnalytics has been shipping faster than Apache Superset — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare Apache Superset vs AgencyAnalytics →
8. Trackingplan · velocity 5.0
Trackingplan turns tracking-plan validation into AI-assisted, consent-aware observability.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Trackingplan focuses on analytics governance, consent monitoring and ai debugging.
Trackingplan 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 Trackingplan trajectory → · Compare Apache Superset vs Trackingplan →
9. Countly · velocity 5.0
Countly alternates security hardening with journey-engine and data-manager fixes.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Countly focuses on countly, product analytics and journey engine.
Countly 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 Countly trajectory → · Compare Apache Superset vs Countly →
10. Fulcrum · velocity 5.0
Fulcrum grinds on mobile field-data reliability while offline computer vision quietly takes shape.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Fulcrum focuses on field data collection, geospatial and arcgis.
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 →
11. Apache Superset · velocity 5.0
The tracked feed is Helm-chart packaging, not Superset's product changelog.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Apache Superset focuses on business intelligence, helm chart and packaging.
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 →
12. Hex · velocity 5.0
Hex hardens its generative-app + agent bet with code editing, more models, and wider distribution.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Apache Superset leans on superset, helm chart and kubernetes, Hex focuses on generative apps, ai agent and analytics.
Hex and Apache Superset 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 Apache Superset?
The top Apache Superset alternatives we currently track in analytics tools are Neo4j, Apify, Dovetail, Lightdash, Tinybird, 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.