Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 17 of 59, unchanged
DataStax Astra · 1 category · Named, not rankedDataStax Astra DB
15Judge labels
1First choices
1Negative labels
8 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. DataStax Astra DB was named 4 times in NoSQL, where MongoDB led with 74%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business17 of 60
0%2 labels
under the label threshold
Mid-market22 of 73
0%4 labels
under the label threshold
Enterprise10 of 54
2%8 labels
under the label threshold
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 DataStax Astra DB 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 | 0% | 22 of 73 | 25% | 4 | under 10 labels · led by MongoDB at 74% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, DataStax Astra DB held within the floor in its one category: no change cleared 11 points.
Best category · NoSQL · by segment
Mid-market=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 29 → 14 of 69
Enterprise▲+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 → 9 of 53
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| NoSQL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 29 → 22 of 73 |
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 DataStax Astra DB 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 DataStax Astra DB 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 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
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
Direct3 labelsNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained2 labelsNone
Scale-constrained5 labels1
Negative2 labelsNone
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 1 of the 1 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.
“Cassandra / DataStax Astra — Best for massive write-heavy, multi-datacenter distributed workloads” DeepSeek V4 Flash · NoSQL · scale prompt · alternative
“For 500 people, prefer DBaaS (Atlas, Astra DB) to cut DevOps costs.” Grok 4.20 · NoSQL · scale 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.
“DataStax Astra DB now IBM, "acquisition closed May 2025, sold within watsonx.data"” Muse Glimmer 30B · NoSQL · negative prompt · soft negative
Named alongside
The products named in the same answers as DataStax Astra DB, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataStax Astra DB was named but was not.ShowHide
Named alongside
The products named in the same answers as DataStax Astra DB, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataStax Astra DB 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 DataStax Astra DB. 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 13 of the 15 answers that named DataStax Astra DB and are not a share of its labels.
Domains cited
couchbase.com7
cio.economictimes.indiatimes.com6
mongodb.com6
us.fitgap.com6
windowsforum.com6
aws.amazon.com5
dnsstuff.com5
guideflow.com5
it-ai-index.com5
pingcap.com5
Fifty-six of the fifty-six domain citations in answers naming DataStax Astra DB came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
datastax.com is not in Google's top ten for any of the category's searches. In the answers, DataStax Astra DB takes 0% of first choices and MongoDB takes 74%.ShowHide
Search and answers
datastax.com is not in Google's top ten for any of the category's searches. In the answers, DataStax Astra DB takes 0% 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
- 50 a month (“datastax astra db”)
- AI search demand for its name, est.
- 1 a month
- Organic visits to its site
- about 3,387 a month
- Searches its site ranks for
- 918 · 167 in the top three
- Sites linking to it
- 6,693
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
0%
rank 22 of 73 in nosql
Segment leader
74%
MongoDB
- First choices
- 1 across its categories
- Named in
- 15 answers
- Its own site cited
- in 13 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 datastax.com
10,000
subdomains included
Content
2,593
counted in the table below
Documentation
13
Product · Integration
2,160 · 81
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Case study | 1,341 | 0 | 2025-10-29 | API management, IGA | |
| News or press | 809 | 1 | 2026-09-25 | Object storage, GRC | |
| Conference or event | 192 | 3 | 2026-08-25 | ||
| Glossary or explainer | 97 | 28 | 2026-09-08 | ||
| Blog | 50 | 2 | 2026-09-10 | ||
| Report or ebook | 35 | 1 | 2026-09-02 | ||
| Podcast or video | 33 | 0 | 2025-04-18 | ||
| Template or tool | 14 | 9 | 2026-09-10 | ||
| Webinar or virtual event | 13 | 2 | 2026-09-11 | ||
| Comparison | 9 | 0 | 2026-02-19 |
Most recent
- 2026-09-25Eth zurich robot hand walks on fingers news or press
- 2026-09-11ON24 Pilot No.1 webinar or virtual event
- 2026-09-10How to build a chatbot blog
- 2026-09-10Telco roi calculator template or tool
- 2026-09-10Banking roi calculator template or tool
- 2026-09-10Government roi calculator template or tool
Events in person
Last twelve months
- June 9, 2026Mizuho Technology ConferenceNew York · spoke
- March 3, 20262026 Morgan Stanley Technology, Media and Telecom ConferenceSan Francisco · spoke
- December 3, 2025UBS Global Technology ConferenceScottsdale, United States · spoke
As the event pages on datastax.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page datastax.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.
Names read as DataStax Astra DB
What the judge wrote, as written, with how often. The vendor table decides that these count as DataStax Astra DB; a claim can dispute any of them.
DataStax Astra 2Astra DB 1
Follow DataStax Astra DB
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
DataStax Astra is the company behind DataStax Astra DB.ShowHide
The company
DataStax Astra is the company behind DataStax Astra DB.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Astra DB is a Forrester Leader delivering NoSQL vector search capabilities on cloud and is built on Apache Cassandra®, providing the speed, reliability and multi-model support needed for modern AI workloads—including tabular, search and graph data.
- For
- organizations running their database resources on-premise or via private cloud
- Price stated
- Ready to get started? Explore our pricing plans to see what fits best for you from prototype to Enterprise. datastax.com
- Not stated on the pages read
- Starting price, free plan or trial, integrations, certifications, hosting, customers
What DataStax Astra DB's own pages state, read September 28, 2026: datastax.com. 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 DataStax Astra DB'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 DataStax Astra DB, 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 DataStax Astra DB by email, built from the raw record of the edition. It shows:
- where DataStax Astra DB 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 DataStax Astra DB, 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.