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Comparison · Analytics
Umami vs Neo4j
A side-by-side editorial comparison of Umami and Neo4j — release velocity, themes, recent moves, and the top alternatives to consider.
Umami vs Neo4j: at a glance
| Feature | Umami | Neo4j |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | product-analytics, session-replay, custom-dashboards, web-vitals | graph-database, aura-cloud, billing, graph-analytics |
| Last editorial update | 1mo ago | 17d ago |
| Website | Visit → | — |
What is Umami?
Umami v3.1.0 ships custom dashboards and session replay on top of the v3 rewrite.
v3.1.0 is the headline: Boards (custom dashboards composed on a row/column canvas), Session Replay, Web Vitals performance tracking, a redesigned share page, and a long fix list. Underneath sit a December stretch of CVE patches across both v3 and v2 lines (Next.js security update), and the November v3.0.0 launch that established the new UI and architecture.
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.
Umami vs Neo4j: editorial side-by-side
Umami
3.8ANALYTICS
Umami v3.1.0 ships custom dashboards and session replay on top of the v3 rewrite.
◆ Current state
v3.1.0 is the headline: Boards (custom dashboards composed on a row/column canvas), Session Replay, Web Vitals performance tracking, a redesigned share page, and a long fix list. Underneath sit a December stretch of CVE patches across both v3 and v2 lines (Next.js security update), and the November v3.0.0 launch that established the new UI and architecture.
◆ Where it's heading
Umami is moving past privacy-friendly pageview counting toward full product analytics — Boards turns it into a build-your-own dashboard tool, Session Replay adds qualitative behavior data, and Web Vitals brings performance into the same surface. The v3 rewrite was the foundation; v3.1 is where the surface area starts widening.
◆ Prediction
Expect deeper Session Replay tooling next — privacy filters, search/filter across replays, integration with Boards. Funnels and cohort analysis are the natural follow-ons given the dashboard composition primitive. The maintained v2 line will likely shrink to security-only patches.
Neo4j
6.3ANALYTICS
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.
Alternatives to Umami and Neo4j
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 Umami or Neo4j.
Fulcrum
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apify
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Apache Superset
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
Apache Superset
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
Recent activity from Umami and Neo4j
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18d agoNeo4jNative Projections now in Aura Graph Analytics
- 26d agoNeo4jNew Billing API available
- 26d agoNeo4jNew Billing API in Aura API v2beta1
- 1mo agoNeo4jLarger 5TB Adjustable storage now available on AWS
- 1mo agoNeo4jNeo4j Aura May Database Release
- 1mo agoNeo4jNew Aura billing experience now available for all customers
- 2mo agoUmamiv3.1.0 ⚡
- 2mo agoUmamiGitHub error page captured
- 6mo agoUmamiv3.0.3 — Next.js CVE patch
- 6mo agoUmamiv2.20.2 — Next.js CVE patch (v2 line)
- 6mo agoUmamiv2.20.1 — Next.js CVE follow-up + Docker fix
- 6mo agoUmamiv2.20.0 — Next.js CVE patch
Frequently asked questions
What is the difference between Umami and Neo4j?
They serve adjacent needs but don't currently overlap on shipped themes. Neo4j is currently shipping more aggressively (velocity 6.3 vs 3.8), 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 Umami better than Neo4j?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Neo4j is currently shipping more aggressively (velocity 6.3 vs 3.8), 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 Umami?
Top Umami alternatives in Analytics are ranked by recent ship velocity. Browse the "Umami alternatives" section above for the current picks, or visit /alternatives/umami for the full list with editorial commentary on each.
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.