NoSQL databases for small business buyers
Asked as “NoSQL database”, and as “document or key-value database service”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
81%
Clear leader
81MongoDB08Amazon DynamoDB08Google Cloud Firestore04others
81% of first choices, clear leader.
Since October 2026▲+12Since October 2026: 69% → 81%, +12 points. Past the 11-point floor: movement.MongoDB held the lead, +12 points on 69%, past the floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
MongoDB81%Clear leader▲+12Since October 2026: 69% → 81%, +12 points. Past the 11-point floor: movement.This pageMid-marketMongoDB74%Clear leader=heldSince October 2026: 74% → 74%, ±0 points. Inside the 11-point floor: within noise.Standing →EnterpriseMongoDB53%Clear leader▼−3Since October 2026: 56% → 53%, −3 points. Inside the 11-point floor: within noise.Standing →
MongoDB81%Clear leader▲+12Since October 2026: 69% → 81%, +12 points. Past the 11-point floor: movement.This pageMid-marketMongoDB74%Clear leader=heldSince October 2026: 74% → 74%, ±0 points. Inside the 11-point floor: within noise.Standing →EnterpriseMongoDB53%Clear leader▼−3Since October 2026: 56% → 53%, −3 points. Inside the 11-point floor: within noise.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01MongoDB81%12%89endorsed leader▲+12Since October 2026: 69% → 81%, +12 points. Past the 11-point floor: movement.69% → 81%
MongoDB81%12%89endorsed leader▲+12Since October 2026: 69% → 81%, +12 points. Past the 11-point floor: movement.69% → 81%02
Amazon DynamoDB8%19%74accepted challenger▼−3Since October 2026: 11% → 8%, −3 points. Inside the 11-point floor: within noise.11% → 8%
Amazon DynamoDB8%19%74accepted challenger▼−3Since October 2026: 11% → 8%, −3 points. Inside the 11-point floor: within noise.11% → 8%03
Google Cloud Firestore Lab in the set8%5%43accepted challenger▲+2Since October 2026: 6% → 8%, +2 points. Inside the 11-point floor: within noise.6% → 8%
Google Cloud Firestore Lab in the set8%5%43accepted challenger▲+2Since October 2026: 6% → 8%, +2 points. Inside the 11-point floor: within noise.6% → 8%04
PostgreSQL2%0%34accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%
PostgreSQL2%0%34accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 11-point floor: within noise.5% → 2%Show the eight products at 0%, ordered by negative rate
11
Apache HBase0%82%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Apache HBase0%82%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%12
Apache Cassandra0%65%46criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Apache Cassandra0%65%46criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%10
ScyllaDB0%53%19criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
ScyllaDB0%53%19criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%09
Azure Cosmos DB0%47%19criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Azure Cosmos DB0%47%19criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%08
Neo4j0%35%20criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Neo4j0%35%20criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%05
Redis0%22%54accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Redis0%22%54accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%06
Couchbase0%17%23accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Couchbase0%17%23accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%07
Apache CouchDB0%15%13accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Apache CouchDB0%15%13accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Cloud Firestore is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice one time of 4; the other thirteen models three times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All twenty-one head-to-head pages: the top seven products, each against each
MongoDB vs Apache CassandraMongoDB vs Azure Cosmos DBMongoDB vs Apache CouchDBAmazon DynamoDB vs PostgreSQLAmazon DynamoDB vs RedisAmazon DynamoDB vs Apache CassandraAmazon DynamoDB vs Azure Cosmos DBAmazon DynamoDB vs Apache CouchDBPostgreSQL vs RedisPostgreSQL vs Apache CassandraPostgreSQL vs Azure Cosmos DBPostgreSQL vs Apache CouchDBRedis vs Apache CassandraRedis vs Azure Cosmos DBRedis vs Apache CouchDBApache Cassandra vs Azure Cosmos DBApache Cassandra vs Apache CouchDBAzure Cosmos DB vs Apache CouchDB
One product takes 81% of first choices here, so the chart would put eleven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Five products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Perplexity Sonar, Grok 4.20, Mistral Small, Llama 4 Maverick and GLM 4.7 FlashX changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Apache Cassandra65%
30 of 46 labels negative · 13 of 14 models · 14 hard negative
“Avoid Apache Cassandra, MongoDB (enterprise/managed), DynamoDB/Cosmos DB, and Redis Enterprise unless you have a specific, high-impact use case” GLM 4.7 FlashX, negative prompt
Amazon DynamoDB19%
14 of 74 labels negative · 11 of 14 models · 5 hard negative
“AI models specifically recommend avoiding as a "paid enterprise platform" for small businesses” MiniMax M2.5, negative prompt
MongoDB12%
11 of 89 labels negative · 11 of 14 models · 2 hard negative
“Avoid Apache Cassandra, MongoDB (enterprise/managed), DynamoDB/Cosmos DB, and Redis Enterprise” GLM 4.7 FlashX, negative prompt
Azure Cosmos DB47%
9 of 19 labels negative · 9 of 14 models · 3 hard negative
“Cosmos is a multi-model service that inherits the same pricing model and lock-in issues as DynamoDB.” GLM 4.7 FlashX, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
65 of 84 answers in this category came back with a source list, from 13 of 14 models: citations where the model returns them, or the search results it consulted. 674 links across 189 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 1 model searched through a gateway that returned no source list on this edition. 54 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Amazon28 answers · 29 citations · 10 models
publisher (Gane)25 answers · 25 citations · 10 models
vendor site · MongoDB23 answers · 43 citations · 8 models
vendor site · G219 answers · 29 citations · 9 models
vendor site · GitHub19 answers · 25 citations · 8 models
vendor site · Aerospike19 answers · 21 citations · 8 models
vendor site · Couchbase14 answers · 30 citations · 6 models
vendor site · Amazon14 answers · 21 citations · 8 models
13 answers · 14 citations · 8 models
vendor site · Guideflow13 answers · 13 citations · 8 models
13 answers · 13 citations · 9 models
vendor site · ONES.com11 answers · 11 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
25 answers · 10 models
15 answers · 8 models
13 answers · 8 models
13 answers · 9 models
12 answers · 6 models
10 answers · 9 models
10 answers · 5 models
9 answers · 5 models
9 answers · 5 models
9 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best nosql database”, “nosql database”, “nosql databases”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| MongoDB mongodb.com | 81% | 177 | 74,000 | 9,630 | 342,632 | $8,625 | 120 | 1 |
| Amazon aws.amazon.com Amazon DynamoDB 8% | 8% | 154 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | 5 | |
| Google Cloud google.dev Google Cloud Firestore 8% | 8% | 47 | 165,000 | 7,596 | 881,346 | 109 | ||
| PostgreSQL postgresql.org | 2% | 77 | 74,000 | 14,143 | 465,585 | |||
| Firebase firebase.google.com Firebase 2%, Firebase Realtime Database 0% | 2% | 6 | 90,500 | 3,437 | 91,247 | |||
| Redis redis.io | 0% | 107 | 27,100 | 6,980 | 112,424 | 18 | ||
| MySQL mysql.com | 0% | 24 | 74,000 | 17,611 | 257,846 | |||
| Couchbase couchbase.com Couchbase 0%, Couchbase Community Edition 0% | 0% | 85 | 4,400 | 221 | 62,564 | $34 | 26 | |
| Apache CouchDB apache.org | 0% | 20 | 1,600 | 4 | 1,144,025 | 0 | ||
| RavenDB ravendb.net | 0% | 9 | 260 | 9 | 1,011 | 7 |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (aerospike.com, aws.amazon.com, mongodb.com). The first result for “best nosql database” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best NoSQL database for a small B2B company?”Paraphrase“Which document or key-value database service would you recommend to a small business that sells to other businesses?”Comparative“What are the top NoSQL databases for a small team and how do they differ?”Budget-constrained“What is the best NoSQL database for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a NoSQL database. What should we look at?”Negative“Which NoSQL databases should a small business avoid or be cautious about?”
Claude Haiku 4.5Google Cloud Firestore, MongoDBGoogle Cloud FirestoreChangedMongoDBFirebase, MongoDBno first choiceagainst: Apache Cassandra, MongoDB
One alternative
Amazon DynamoDBFour alternatives
MongoDB, MySQL, PostgreSQL, RedisFour alternatives
Amazon DynamoDB, Neo4j, RavenDB, RedisTwo alternatives
Amazon DynamoDB, RedisGPT-5.4 miniMongoDBMongoDBHeldAmazon DynamoDB, MongoDBMongoDBno first choiceagainst: Amazon DynamoDB, Apache Cassandra, Redis
Two alternatives
Amazon DynamoDB, Google Cloud FirestoreOne alternative
Amazon DynamoDBTwo alternatives
Apache Cassandra, RedisThree alternatives
Apache Cassandra, Apache CouchDB, RedisGemini 3.5 FlashMongoDBMongoDBHeldMongoDBGoogle Cloud Firestore, MongoDBMongoDBagainst: Apache Cassandra, MongoDBagainst: Accumulo, Amazon DynamoDB, Apache Cassandra, Apache HBase, Azure Cosmos DB, JanusGraph, Neo4j, ScyllaDB
Five alternatives
Amazon DynamoDB, Google Firebase Firestore, Neon, PostgreSQL, SupabaseThree alternatives
Amazon DynamoDB, Google Cloud Firestore, Upstash RedisThree alternatives
Amazon DynamoDB, Firebase Cloud Firestore, RedisFour alternatives
Amazon DynamoDB, Neon, PostgreSQL, SupabaseFour alternatives
Amazon DynamoDB, Google Cloud Firestore, MySQL, PostgreSQLPerplexity SonarMongoDBagainst: Redis, ValkeyAmazon DynamoDBChangedagainst: RedisMongoDBagainst: Apache Cassandra, ScyllaDBMongoDBagainst: Apache Cassandra, Redisno first choiceagainst: Amazon DynamoDB, Apache Cassandra, Apache CouchDB, Azure Cosmos DB, Google Cloud Bigtable, MongoDB, Neo4j, Redis, ScyllaDB
Three alternatives
Amazon DynamoDB, Google Cloud Firestore, PostgreSQLThree alternatives
Azure Cosmos DB, MongoDB, PostgreSQLFour alternatives
Amazon DynamoDB, Google Cloud Firestore, Neo4j, RedisTwo alternatives
Amazon DynamoDB, Google Cloud FirestoreGrok 4.20MongoDBAmazon DynamoDBChangedagainst: Apache Cassandra, RedisMongoDBagainst: Amazon Neptune, Apache Cassandra, CouchbaseMongoDBagainst: Apache CassandraMongoDBagainst: Amazon Neptune, Apache Cassandra, Apache HBase, Neo4j, ScyllaDBagainst: Amazon DynamoDB, Apache Cassandra, Apache CouchDB, Apache HBase, Azure Cosmos DB, Couchbase, MongoDB, Neo4j, Redis
Four alternatives
Amazon DynamoDB, Azure Cosmos DB, PostgreSQL, RavenDBTwo alternatives
Google Cloud Firestore, MongoDBFour alternatives
Amazon DynamoDB, Google Cloud Firestore, Neo4j, RedisThree alternatives
Amazon DynamoDB, Google Cloud Firestore, RedisFive alternatives
Amazon DynamoDB, Azure Cosmos DB, Couchbase, PostgreSQL, RedisMistral SmallMongoDBGoogle Cloud FirestoreChangedMongoDBMongoDBno first choiceagainst: Amazon DynamoDB, Apache Cassandra, Azure Cosmos DB, Firebaseagainst: Amazon DynamoDB, MongoDB
Three alternatives
Amazon DynamoDB, Azure Cosmos DB, RedisTwo alternatives
Amazon DynamoDB, MongoDBFour alternatives
Apache Cassandra, Neo4j, Redis, ScyllaDBThree alternatives
Amazon DynamoDB, Apache CouchDB, RavenDBSix alternatives
ArangoDB, Couchbase, MongoDB, Neo4j, Redis, ScyllaDBDeepSeek V4 FlashMongoDBMongoDBHeldMongoDBagainst: Apache Cassandra, ScyllaDBMongoDBagainst: Amazon DynamoDB, Apache CassandraMongoDBagainst: Apache Cassandra, ScyllaDBagainst: Amazon DynamoDB, Apache Cassandra, Apache HBase, MongoDB, Neo4j
Three alternatives
Amazon DynamoDB, Apache CouchDB, Google Cloud FirestoreThree alternatives
Amazon DynamoDB, Google Cloud Firestore, RedisFour alternatives
Amazon DynamoDB, Google Cloud Firestore, Neo4j, RedisOne alternative
Apache CouchDBThree alternatives
Amazon DynamoDB, Google Cloud Firestore, RedisLlama 4 MaverickMongoDBno first choiceChangedMongoDBMongoDBno first choicenothing named
Three alternatives
Amazon DynamoDB, Azure Cosmos DB, Google Cloud FirestoreTwo alternatives
Amazon DynamoDB, Google Cloud FirestoreFour alternatives
Amazon DynamoDB, Apache Cassandra, Google Cloud Firestore, RedisQwen 3.7 FlashMongoDBMongoDBHeldagainst: RedisMongoDBagainst: Amazon DynamoDBMongoDBagainst: Apache CassandraMongoDBagainst: Apache Cassandra, Elasticsearch, ScyllaDBagainst: Amazon DynamoDB, Apache Cassandra, Apache HBase, Azure Cosmos DB, Couchbase, Elasticsearch, Google Cloud Bigtable, Google Cloud Firestore, Neo4j, Riak KV, ScyllaDB
Three alternatives
Amazon DynamoDB, Firebase, Google Cloud FirestoreTwo alternatives
Amazon DynamoDB, Google Cloud FirestoreFour alternatives
Firebase, Google Cloud Firestore, PostgreSQL, RedisTwo alternatives
Amazon DynamoDB, RedisThree alternatives
Amazon DynamoDB, Neo4j, PostgreSQLKimi K2MongoDBMongoDBHeldMongoDBagainst: Apache CassandraMongoDBagainst: Apache CassandraMongoDB, PostgreSQLagainst: Apache Cassandra, Neo4j, Redis, ScyllaDBagainst: Amazon DynamoDB, Apache Cassandra, Apache HBase, Azure Cosmos DB, MongoDB, Redis
Two alternatives
Amazon DynamoDB, Google Cloud FirestoreTwo alternatives
Amazon DynamoDB, Google Cloud FirestoreFive alternatives
Amazon DynamoDB, Couchbase, Google Cloud Firestore, Neo4j, RedisFour alternatives
Amazon DynamoDB, Google Cloud Firestore, PostgreSQL, RedisOne alternative
Amazon DynamoDBGLM 4.7 FlashXMongoDBAmazon DynamoDB, MongoDBChangedMongoDBMongoDBAmazon DynamoDB, MongoDBagainst: Apache Cassandraagainst: Amazon DynamoDB, Apache Cassandra, Azure Cosmos DB, MongoDB, Redis
Two alternatives
Amazon DynamoDB, CouchbaseOne alternative
RedisSeven alternatives
Aerospike, Amazon DynamoDB, Apache Cassandra, Couchbase, IBM Cloudant, Neo4j, RedisOne alternative
RedisMiniMax M2.5MongoDBagainst: CouchbaseMongoDBHeldMongoDBagainst: Apache Cassandra, ScyllaDBMongoDBno first choiceagainst: Amazon DynamoDB, Apache Cassandra, Apache HBase, Azure Cosmos DB, MongoDB
Four alternatives
Amazon DynamoDB, Apache Cassandra, RavenDB, ScyllaDBThree alternatives
Amazon DynamoDB, Couchbase, Google Cloud FirestoreThree alternatives
Amazon DynamoDB, Neo4j, RedisFive alternatives
Apache Cassandra, Firebase Realtime Database, Google Cloud Firestore, Redis, SQLiteFour alternatives
Amazon DynamoDB, Apache Cassandra, MongoDB, RedisGPT-6 LunaMongoDBMongoDBHeldMongoDBMongoDBagainst: MongoDB's free Atlas tierno first choiceagainst: Apache Cassandra, Apache HBase, Google Cloud Firestore, MongoDB, Redis
Three alternatives
Amazon DynamoDB, Google Cloud Firestore, PostgreSQLTwo alternatives
Amazon DynamoDB, PostgreSQLThree alternatives
Amazon DynamoDB, Azure Cosmos DB, Google Cloud FirestoreTwo alternatives
Apache CouchDB, PostgreSQLFive alternatives
Amazon DynamoDB, Azure Cosmos DB, Google Cloud Firestore, MongoDB, PostgreSQLMuse Glimmer 30BMongoDBMongoDBHeldMongoDBMongoDBno first choiceagainst: Amazon DynamoDB, Apache Cassandra, Apache HBase, Azure Cosmos DB, MongoDB
Three alternatives
Amazon DynamoDB, Google Cloud Firestore, RedisOne alternative
Amazon DynamoDBFour alternatives
Amazon DynamoDB, Couchbase, RavenDB, RedisFour alternatives
Apache Cassandra, Apache CouchDB, IBM Cloudant, RedisBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:57 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:46 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:45 | no | 0 | 12 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 13:02 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:21 | yes | 5 | 14 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:49 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:39 | yes | 25 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:57 | yes | 6 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:56 | yes | 5 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:16 | yes | 15 | 42 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:36 | yes | 14 | 69 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:53 | yes | 5 | 49 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:49 | yes | 3 | 7 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:27 | yes | 13 | 14 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:44 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 18:04 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:36 | no | 0 | 12 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:33 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:09 | yes | 5 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:49 | no | 0 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:37 | yes | 25 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:36 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:35 | no | 0 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:44 | yes | 20 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:40 | no | 0 | 11 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:26 | yes | 20 | 71 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:03 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:33 | yes | 14 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:58 | yes | 10 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:17 | yes | 3 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:33 | no | 0 | 14 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 16:18 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:50 | yes | 5 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:08 | yes | 5 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 19:28 | yes | 25 | 60 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:12 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:16 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:23 | yes | 20 | 49 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:39 | yes | 10 | 43 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:27 | yes | 8 | 28 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:17 | yes | 5 | 17 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:44 | yes | 24 | 44 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:45 | no | 0 | 5 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:22 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 14:07 | no | 0 | 15 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 11:36 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:55 | yes | 5 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:13 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:15 | yes | 14 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:54 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:54 | yes | 5 | 40 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:18 | yes | 10 | 48 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:16 | yes | 14 | 113 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:12 | no | 0 | 26 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:26 | yes | 3 | 8 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:13 | yes | 15 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:28 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:57 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:45 | yes | 10 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:52 | yes | 9 | 17 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:22 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 18:49 | yes | 21 | 68 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:46 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:34 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:39 | yes | 10 | 42 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:32 | yes | 24 | 29 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:46 | no | 0 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:36 | yes | 8 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:01 | yes | 13 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:21 | yes | 9 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:23 | yes | 6 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:17 | no | 0 | 18 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 15:13 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:39 | yes | 15 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:40 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:54 | yes | 24 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:22 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:21 | yes | 5 | 19 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:59 | yes | 25 | 46 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:22 | yes | 9 | 68 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:45 | yes | 9 | 51 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:00 | yes | 5 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:17 | yes | 14 | 19 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
DataStax Astra read as DataStax Astra DB
Firebase / Cloud Firestore (Google) read as Google Cloud Firestore
MongoDB Atlas read as MongoDB
Unresolved, counted raw
Accumulo
Azure Cosmos
Capella
Firebase Cloud Firestore
Google Firebase Firestore
Invoices linked to Customers linked to Line Items
JanusGraph
MongoDB's free Atlas tier
Redis Software
Scylla
Upstash Redis
Velneo
Xata
Discontinued, still offered
No shut-down product was recommended here.