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Comparison · Analytics
Deequ vs Neo4j
A side-by-side editorial comparison of Deequ and Neo4j — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs Neo4j: at a glance
| Feature | Deequ | Neo4j |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 7.5 |
| Sparks · 30d | 0 | 1 |
| Top themes | data-quality, spark, dqdl, jvm-library | graph-database, mcp, cypher-copilot, aura-cloud |
| Last editorial update | 15h ago | 6d ago |
| Website | Visit → | — |
What is Deequ?
Deequ ships GitHub tags whose release notes are one commit message long
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
What is Neo4j?
Neo4j is making the graph legible to agents and comfortable for humans at the same time.
The window carries two distinct threads. On the AI side: an MCP server for Aura, Cypher Copilot gaining baseline edits and in-editor review, and a Document Intelligence preview for getting unstructured content into the graph. On the platform side: the July Aura release, Enterprise Studio 2026.07, self-service SSO, Fleet Manager migration from Community Edition to Aura, and now persistent query tabs in the Query tool.
Deequ vs Neo4j: editorial side-by-side
Deequ
0.0ANALYTICS
Deequ ships GitHub tags whose release notes are one commit message long
◆ Current state
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
◆ Where it's heading
The visible work points in one direction — making check results programmatically consumable rather than just readable. A typed outcome API and a rule language binding are what you build when Deequ is being called from a pipeline that reacts to the result, not from a notebook where a human reads it. The column-pruning override added alongside the Range analyzer suggests the same attention on the cost side, keeping analyzers from scanning columns they do not reference.
◆ Prediction
The entries are too thin to support a confident read of what comes next; the only clear pattern is that each change will ship separately against Spark 3.5 and Spark 4.0, so the version skew between those branches will keep widening.
Neo4j
7.5ANALYTICS
Neo4j is making the graph legible to agents and comfortable for humans at the same time.
◆ Current state
The window carries two distinct threads. On the AI side: an MCP server for Aura, Cypher Copilot gaining baseline edits and in-editor review, and a Document Intelligence preview for getting unstructured content into the graph. On the platform side: the July Aura release, Enterprise Studio 2026.07, self-service SSO, Fleet Manager migration from Community Edition to Aura, and now persistent query tabs in the Query tool.
◆ Where it's heading
Neo4j is answering the question of who writes Cypher by making the answer 'not necessarily a person'. MCP exposes Aura to assistants, Copilot writes and reviews queries in the editor, and Document Intelligence handles the ingestion step that used to require a pipeline project. Around that, the managed-service work — SSO, fleet migration, release cadence — is aimed at moving self-managed installations into Aura, where those AI surfaces live.
◆ Prediction
With MCP shipped and Copilot writing queries, the missing piece is governance over what an agent may run against a production graph — expect permissions or review controls scoped to AI-issued Cypher, and continued pressure to migrate Community Edition users into Aura.
Alternatives to Deequ 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 Deequ or Neo4j.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature
OpenDataDiscovery
Four ODD Platform releases in two weeks, and not one of them changes the product
Apache Baremaps
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Marquez
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen
Amundsen's last release was a config flag, and the feed has been silent for two years
Recent activity from Deequ and Neo4j
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6d agoNeo4jQuery Tabs: A new way to work with your queries
- 7d agoNeo4jAura July: explicit GROUP BY in Cypher, quantized vectors GA
- 11d agoNeo4jEnterprise Studio 2026.07 collects Bloom and dashboard fixes
- 20d agoNeo4jMCP for Aura Now Available ⚡
- 21d agoNeo4jCypher Copilot updates: Smarter Queries, Baseline Edits, and In-Editor Review
- 27d agoNeo4jFleet Manager: Migrate a Community Edition database to Aura
- 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
- 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
- 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
- 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
Frequently asked questions
What is the difference between Deequ and Neo4j?
They serve adjacent needs but don't currently overlap on shipped themes. Neo4j is currently shipping more aggressively (velocity 7.5 vs 0.0), with 1 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 Deequ better than Neo4j?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Neo4j is currently shipping more aggressively (velocity 7.5 vs 0.0), with 1 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 Deequ?
Top Deequ alternatives in Analytics are ranked by recent ship velocity. Browse the "Deequ alternatives" section above for the current picks, or visit /alternatives/deequ 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.