Overview Leaderboard Methodology
Industry Report

NoSQL Databases

Non-relational databases designed for flexible schemas and horizontal scalability, including key-value, document, and wide-column stores.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
MongoDB
96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
PostgreSQL
100

Highest score on the LBA metric.

Authority Leader?
MongoDB
100

Highest score on the Authority metric.

TOM Leader?
MongoDB
94

Highest score on the TOM metric.

MongoDB is the default answer in AI responses for NoSQL Databases

When users ask ChatGPT, Claude, or Gemini about NoSQL Databases, MongoDB is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Amazon is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 32 NoSQL Databases brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
MongoDB
mongodb.com
 94
100
94
96
2
Amazon
amazon.com
 88
70
92
83
3
Amazon DynamoDB
amazonaws.com
 90
65
75
76
4
Redis
redis.io
 87
43
72
64
5
Apache
apache.org
 80
36
52
53
6
Couchbase
couchbase.com
 78
19
62
45
7
Google
google.com
 84
13
43
36
8
DataStax
datastax.com
 84
4
24
19
9
Neo4j
neo4j.com
 88
2
27
18
10
ScyllaDB
scylladb.com
 83
5
3
11
11
OpenSearch
opensearch.org
 64
1
16
10
12
PostgreSQL
postgresql.org
 100
18
0
3
13
Redis Enterprise
redis.com
 93
0
22
3
14
Aerospike
aerospike.com
 75
0
13
2
15
Riak
riak.com
 66
0
14
2
16
ArangoDB
arangodb.com
 72
0
4
1
17
Elastic
elastic.co
 87
0
1
1
18
Fauna
fauna.com
 71
0
1
1
19
RavenDB
ravendb.net
 81
0
3
1
20
Realm
realm.io
 69
0
0
1
21
Dragonfly
dragonflydb.io
 36
0
0
0
22
FerretDB
ferretdb.com
 61
0
0
0
23
F
FoundationDB
foundationdb.org
 74
0
0
0
24
KeyDB
keydb.dev
 75
0
0
0
25
MarkLogic
marklogic.com
 79
0
0
0
26
Microsoft
microsoft.com
 90
0
0
0
27
Oracle
oracle.com
 72
0
0
0
28
OrientDB
orientdb.org
 71
0
0
0
29
RethinkDB
rethinkdb.com
 64
0
0
0
30
SequoiaDB
sequoiadb.com
 47
0
0
0
31
Tarantool
tarantool.io
 58
0
0
0
32
Valkey
valkey.io
 69
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared NoSQL Databases prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 257 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →