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Neo4j vs Apache Superset

A side-by-side editorial comparison of Neo4j and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.

Neo4j vs Apache Superset: at a glance

FeatureNeo4jApache Superset
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d00
Top themesgraph-database, aura-cloud, billing, graph-analyticsbusiness-intelligence, open-source, helm-chart, release-cadence
Last editorial update6d ago4h ago
WebsiteVisit →

What is Neo4j?

Neo4j Aura pushes on billing transparency, scale ceilings, and graph analytics.

Neo4j's Aura cloud is shipping across three fronts: a new self-service billing experience and Billing API, higher scale ceilings (5TB storage on AWS, 2TB high-memory on GCP), and graph-analytics depth (Native Projections, ML model persistence). The monthly Aura release rolls these up with Cypher 25 GQL compliance work.

Read the full Neo4j trajectory →

What is Apache Superset?

Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence

Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.

Read the full Apache Superset trajectory →

Neo4j vs Apache Superset: editorial side-by-side

N
Neo4j
ANALYTICS
6.3

Neo4j Aura pushes on billing transparency, scale ceilings, and graph analytics.

◆ Current state

Neo4j's Aura cloud is shipping across three fronts: a new self-service billing experience and Billing API, higher scale ceilings (5TB storage on AWS, 2TB high-memory on GCP), and graph-analytics depth (Native Projections, ML model persistence). The monthly Aura release rolls these up with Cypher 25 GQL compliance work.

◆ Where it's heading

Aura is maturing as an enterprise managed service — financial controls, larger instances, and operational hygiene (user pruning) — while continuing to invest in the graph-data-science layer that differentiates it.

◆ Prediction

Expect continued enterprise-readiness work (billing, scale, governance) alongside GDS and GQL-compliance progress; a unified neo4j-cli also suggests more developer-CLI investment ahead.

Apache Superset logo5.0

Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence

◆ Current state

Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.

◆ Where it's heading

The core release is converging on 6.1.0, with the RC sequence advancing rc1 to rc3 over roughly seven weeks; the Helm chart line moves independently from 0.15.x into 0.16.x. The cadence is steady but unremarkable — maintenance-and-ship-the-next-minor rhythm rather than capability expansion. What 6.1.0 actually changes for users isn't visible in the crawled entries.

◆ Prediction

Expect a 6.1.0 general-availability tag to follow the rc3 vote, alongside continued point releases on the Helm chart. Whether 6.1.0 carries anything directional can't be judged from these entries.

Alternatives to Neo4j and Apache Superset

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 Neo4j or Apache Superset.

See all Neo4j alternatives → · See all Apache Superset alternatives →

Recent activity from Neo4j and Apache Superset

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

  1. 9h agoApache SupersetHelm chart 0.16.1 — deployment packaging patch
  2. 7d agoApache SupersetHelm chart 0.16.0 — deployment packaging update
  3. 7d agoNeo4jNative Projections now in Aura Graph Analytics
  4. 15d agoNeo4jNew Billing API available
  5. 15d agoNeo4jNew Billing API in Aura API v2beta1
  6. 19d agoNeo4jLarger 5TB Adjustable storage now available on AWS
  7. 20d agoNeo4jNeo4j Aura May Database Release
  8. 21d agoNeo4jNew Aura billing experience now available for all customers
  9. 1mo agoApache SupersetHelm chart 0.15.5 — deployment packaging patch
  10. 1mo agoApache SupersetSuperset 6.1.0 release candidate 3 (vote)
  11. 2mo agoApache SupersetSuperset 6.1.0 release candidate 2 (vote)
  12. 2mo agoApache SupersetMis-crawled GitHub profile page — not a release

Frequently asked questions

What is the difference between Neo4j and Apache Superset?

They serve adjacent needs but don't currently overlap on shipped themes. Neo4j 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 Neo4j better than Apache Superset?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Neo4j 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 Neo4j?

Top Neo4j alternatives in Analytics are ranked by recent ship velocity. Browse the "Neo4j alternatives" section above for the current picks, or visit /alternatives/neo4j for the full list with editorial commentary on each.

What are the best alternatives to Apache Superset?

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