Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 42 → 57 of 59
2 categories · RankedScyllaDB
53Judge labels
2First choices
13Negative labels
13 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in NoSQL for mid-market buyers
Rank 5 of 73 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 21 labels there were negative.
What the models named instead of ScyllaDB →By buyer segmentRead the same way at every buyer size.
Small business58 of 60
0%9 labels
under the label threshold
Mid-market5 of 73
2%21 labels
accepted challenger
Enterprise6 of 54
2%18 labels
accepted challenger
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 ScyllaDB 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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| NoSQL databases | Data platform | 2% | 5 of 73 | 0% | 21 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Time series databases | Data platform | 0% | 49 of 66 | 100% | 1 | under 10 labels · led by TimescaleDB at 63% |
Movement
Since September 2026, ScyllaDB held within the floor in all two categories: no change cleared 11 points.
Best category · NoSQL · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 14 → 5 of 69
Enterprise=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 6 of 53, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| NoSQL | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 14 → 5 of 73 |
| Time series DBs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 49 of 66, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated ScyllaDB across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated ScyllaDB across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 1 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 2 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 1 | 2 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 2 | 0 | 3 |
| MiniMax M2.5 | 1 | 0 | 2 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
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
Direct4 labelsNone
Paraphrase1 labelNone
Comparative7 labelsNone
Budget-constrained12 labels2
Scale-constrained13 labelsNone
Negative16 labelsNone
First choiceAlternativeMentionNegative53 labels in all, every segment counted; 2 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.
“I'd recommend starting with MongoDB Atlas or ScyllaDB as they balance cost, performance, and ease of use” MiniMax M2.5 · NoSQL · 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 · NoSQL · budget prompt · alternative
“these top DB-Engines (scores 1000+), have enterprise backing, and regular patches” Grok 4.20 · NoSQL · negative prompt · alternative
“look at ScyllaDB (a C++ rewrite of Cassandra that eliminates JVM overhead)” Gemini 3.5 Flash · NoSQL · negative 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.
“Cassandra is frequently marketed as a great database for time-series due to its high write throughput” Gemini 3.5 Flash · Time series DBs · negative prompt · soft negative
Named alongside
The products named in the same answers as ScyllaDB, over the 53 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and ScyllaDB was named but was not.ShowHide
Named alongside
The products named in the same answers as ScyllaDB, over the 53 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and ScyllaDB was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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 ScyllaDB. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 44 of the 53 answers that named ScyllaDB and are not a share of its labels.
Domains cited
scylladb.comYour site18
aerospike.com17
mongodb.com17
us.fitgap.com16
thectoclub.com15
guideflow.com13
couchbase.com12
aws.amazon.com11
peerspot.com10
cio.economictimes.indiatimes.com9
120 of the 138 domain citations in answers naming ScyllaDB came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
scylladb.com ranks 3 on Google for the category's searches. In the answers, ScyllaDB takes 2% of first choices and MongoDB takes 74%.ShowHide
Search and answers
scylladb.com ranks 3 on Google for the category's searches. In the answers, ScyllaDB takes 2% of first choices and MongoDB takes 74%.
ShowHideIn search
Google, US estimatesPosition for “nosql database”
–
not in the top ten
Position for “nosql databases”
–
not in the top ten
- Searches for its name, Google
- 1,900 a month (“scylladb”)
- AI search demand for its name, est.
- 76 a month
- Organic visits to its site
- about 22,468 a month
- Searches its site ranks for
- 3,449 · 275 in the top three
- Sites linking to it
- 3,111
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
2%
rank 5 of 73 in nosql
Segment leader
74%
MongoDB
- First choices
- 2 across its categories
- Named in
- 53 answers
- Its own site cited
- in 44 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on scylladb.com
2,655
subdomains included
Content
2,172
counted in the table below
Documentation
40
Product · Integration
8 · 3
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Conference or event | 1,860 | 3 | 2026-09-27 | ||
| Blog | 85 | 0 | 2026-05-12 | ||
| Glossary or explainer | 82 | 4 | 2026-09-04 | ||
| Webinar or virtual event | 46 | 11 | 2026-09-25 | ||
| Case study | 41 | 0 | 2022-03-10 | ||
| Report or ebook | 26 | 0 | 2018-05-01 | ||
| Comparison | 23 | 2 | 2026-07-24 | ||
| News or press | 8 | 0 | 2026-05-05 | ||
| Template or tool | 1 | undated |
Most recent
How it is countedHide how it is counted
Every page scylladb.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow ScyllaDB
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
ScyllaDB is its own company.ShowHide
The company
ScyllaDB is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- High-performance NoSQL database for real-time AI, feature stores, and billion-scale vector search.
- For
- data-intensive apps that require high throughput & predictable low latency
- Hosting
- AWS & GCP
- Customers named
- DiscordZillowComcastRakutenHuluAdevintaFanaticsGrab
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications
What ScyllaDB's own pages state, read September 28, 2026: scylladb.com, scylladb.com/product/scylladb-v. A claimed page can correct any of 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 ScyllaDB'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 ScyllaDB, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for ScyllaDB by email, built from the raw record of the edition. It shows:
- where ScyllaDB is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name ScyllaDB, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.