ScyllaDB vs Google Cloud Firestore
Zero of fourteen models named ScyllaDB first on the direct prompt; zero named Google Cloud Firestore. ScyllaDB was named by ten of the fourteen models and Google Cloud Firestore by nine and ScyllaDB carries 21 labels and Google Cloud Firestore 11, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the nosql databases page.
By framing
ScyllaDBFirst choices, of fourteen modelsGoogle Cloud Firestore
Across every category in the October 2026 Edition, ScyllaDB and Google Cloud Firestore were named in the same answer ten times, of the 53 answers naming ScyllaDB and the 51 naming Google Cloud Firestore. In those answers Google Cloud Firestore took the first choice two times and ScyllaDB zero.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | |||||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | |||||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | |
ScyllaDB Google Cloud Firestore first choice named as an alternative argued againstblank: not namedEach cell is one answer, ScyllaDB on the left and Google Cloud Firestore on the right.The direct prompt
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Google Cloud Firestore6%#3 of 10ScyllaDB0%#– of 10ScyllaDB2%#5 of 13Google Cloud Firestore2%#7 of 13ScyllaDB2%#6 of 9Google Cloud Firestore0%#– of 9What the models said about ScyllaDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd recommend starting with MongoDB Atlas or ScyllaDB as they balance cost, performance, and ease of use” MiniMax M2.5 · budget prompt · first choice
“ScyllaDB is a drop-in compatible, faster version of Cassandra that is often lighter on hardware resources” Qwen 3.7 Flash · budget prompt · alternative
“these top DB-Engines (scores 1000+), have enterprise backing, and regular patches” Grok 4.1 Fast · negative prompt · alternative
What the models said about Google Cloud Firestore
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“If you do not have IT staff and just want to launch an MVP quickly, start with Firebase (Firestore)” Qwen 3.7 Flash · budget prompt · first choice
“For a managed cloud option, Azure Cosmos DB, Amazon DynamoDB, or Google Cloud Firestore are all common consumption-based choices.” Perplexity Sonar · paraphrase prompt · alternative
“Cloud Firestore has a free quota, including 1 GiB of stored data, 50,000 reads/day” GPT-6 Luna · budget prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.