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Comparison · Analytics

modelbased vs Neo4j

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

modelbased vs Neo4j: at a glance

FeaturemodelbasedNeo4j
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d02
Top themeseasystats, marginal-effects, contrasts, mixed-modelsgraph-database, graph-data-science, free-tier, access-control
Last editorial update1h ago20h ago
WebsiteVisit →

What is modelbased?

modelbased is turning marginal effects into a full contrast grammar

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

Read the full modelbased trajectory →

What is Neo4j?

Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.

Neo4j is pushing capability downward and outward at the same time. The complete Graph Data Science catalog — 65+ algorithms — now runs on AuraDB Free in isolated, unbilled sessions, while Business Critical and Virtual Dedicated Cloud tiers gain attribute-based access control with time-windowed permissions and IdP claim mapping. Around those, the Aura platform continues its monthly cadence: Cypher 25 picked up GROUP BY and a GQL cardinality function, quantized vector search reached general availability, and the Query editor gained persistent tabs.

Read the full Neo4j trajectory →

modelbased vs Neo4j: editorial side-by-side

M
modelbased
ANALYTICS
0.0

modelbased is turning marginal effects into a full contrast grammar

◆ Current state

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

◆ Where it's heading

The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.

◆ Prediction

With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.

N
Neo4j
ANALYTICS
7.5

Neo4j moves its full graph algorithm catalog onto the free tier and adds attribute-based access control.

◆ Current state

Neo4j is pushing capability downward and outward at the same time. The complete Graph Data Science catalog — 65+ algorithms — now runs on AuraDB Free in isolated, unbilled sessions, while Business Critical and Virtual Dedicated Cloud tiers gain attribute-based access control with time-windowed permissions and IdP claim mapping. Around those, the Aura platform continues its monthly cadence: Cypher 25 picked up GROUP BY and a GQL cardinality function, quantized vector search reached general availability, and the Query editor gained persistent tabs.

◆ Where it's heading

The shape here is a funnel. Free-tier users get the algorithm catalog and hosted MCP access with no billing and no setup, which lowers the cost of the first serious graph experiment to nothing; enterprise tiers get the governance controls that make an expansion defensible. Cypher is simultaneously being pulled toward the GQL standard and extended with new surfaces — auth rules, grouping clauses — so the query language is absorbing work that used to sit in configuration and driver code.

◆ Prediction

Expect ABAC to descend to Professional tiers and the Aura Graph Analytics free session limits to become the pressure point Neo4j uses to convert experiments into paid capacity. The unresolved question from these entries is whether MCP for Aura reaches Virtual Dedicated Cloud, which is listed as pending.

Alternatives to modelbased 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 modelbased or Neo4j.

See all modelbased alternatives → · See all Neo4j alternatives →

Recent activity from modelbased and Neo4j

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

  1. 1d agoNeo4jAura Graph Analytics is now available on AuraDB Free
  2. 1d agoNeo4jDynamic & Time-Based Access Control with ABAC, now in Neo4j Aura!
  3. 8d agoNeo4jQuery Tabs: A new way to work with your queries
  4. 9d agoNeo4jCypher 25 gains GROUP BY; quantized vector search hits GA
  5. 13d agoNeo4jEnterprise Studio: dashboard parameters and concurrent editing
  6. 22d agoNeo4jMCP for Aura Now Available
  7. 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
  8. 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
  9. 5mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
  10. 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
  11. 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
  12. 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures

Frequently asked questions

What is the difference between modelbased 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 2 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 modelbased 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 2 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 modelbased?

Top modelbased alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbased alternatives" section above for the current picks, or visit /alternatives/modelbased 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.