IT AI Index
Index Vendors › Neo4j · September 2026 Edition
1 category · Ranked

Neo4j

64Judge labels
1First choices
12Negative labels
12 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
2% in NoSQL for mid-market buyers
Rank 7 of 72 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 8% of its 25 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In nosql · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Neo4j for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
NoSQL databasesData platform2%7 of 728%25accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Neo4j yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Neo4j across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini01001
Gemini 3.5 Flash02114
Perplexity Sonar01001
Grok 4.1 Fast00303
Mistral Small01102
DeepSeek V4 Flash10102
Llama 4 Maverick10001
Qwen 3.7 Flash03014
Kimi K200202
GLM 4.7 FlashX00202
MiniMax M2.500202

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct5 labelsNone
Paraphrase1 labelNone
Comparative24 labels1not counted in share
Budget-constrained1 label1
Scale-constrained17 labelsNone
Negative16 labelsNone
First choiceAlternativeMentionNegative64 labels in all, every segment counted; 1 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Connected/relationship data → Neo4j” DeepSeek V4 Flash · NoSQL · comparative prompt · first choice
“such as RavenDB, Neo4j, or InfluxDB” Llama 4 Maverick · NoSQL · budget prompt · first choice
“Neo4j is the leading graph database, built specifically to navigate relationships.” Gemini 3.5 Flash · NoSQL · comparative prompt · alternative
“Choose Neo4j if you are trying to find connections between people or things.” Qwen 3.7 Flash · NoSQL · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Graph Databases (e.g., Neo4j) (Be Cautious): ... steep learning curves ... notoriously difficult and expensive to scale horizontally” Gemini 3.5 Flash · NoSQL · negative prompt · soft negative
“Hardware Hunger: Neo4j is resource-intensive. It requires significant JVM tuning” Qwen 3.7 Flash · NoSQL · negative prompt · soft negative

Named alongside

The products named in the same answers as Neo4j, over the 64 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neo4j was named but was not.
ProductSame answerTook the first choice insteadHead to head
MongoDB61 of 6432Not in the top three
Redis56 of 641Not in the top three
Amazon DynamoDB55 of 644Not in the top three
Apache Cassandra54 of 641Not in the top three
Couchbase43 of 642Not in the top three
ScyllaDB31 of 640Not in the top three
Azure Cosmos DB27 of 641Not in the top three
Apache HBase19 of 640Not in the top three
PostgreSQL15 of 644Not in the top three
Amazon Neptune10 of 640Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Neo4j. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 39 of the 64 answers that named Neo4j and are not a share of its labels.

Domains cited

aerospike.com23
pingcap.com15
thectoclub.com15
mongodb.com12
couchbase.com11
db-engines.com10
scylladb.com10
sourceforge.net10
guideflow.com9
infoworld.com9

124 of the 124 domain citations in answers naming Neo4j came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Neo4j's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Neo4j, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at neo4j.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.