IT AI Index

Index › Vendors › Apache Spark · September 2026 Edition

2 categories · Named, not ranked

Apache Spark

9Judge labels

0First choices

3Negative labels

5 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, 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. Apache Spark was named 4 times in ETL and 1 other category, where Airbyte led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market23 of 66

under the label threshold

Enterprise20 of 67

under the label threshold

In etl · 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 Apache Spark 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
ETL and ELT	Data platform	0%	23 of 66	0%	3	under 10 labels · led by Airbyte at 32%
ML platforms	Data platform	0%	61 of 99	0%	1	under 10 labels · led by Azure Machine Learning at 17%

Movement

This is the first edition on this tier, so no move can be computed for Apache Spark yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Apache Spark across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	1	0	1
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	1	1
GLM 4.7 FlashX	1	1	2
MiniMax M2.5	0	0	0

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

Direct0 labelsNone

Paraphrase1 labelNone

Comparative1 labelNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative5 labelsNone

First choiceAlternativeMentionNegative9 labels in all, every segment counted; 0 of the 0 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.

“High‑volume, real‑time streaming and batch processing | Apache NiFi / Apache Spark” GLM 4.7 FlashX · ETL · comparative prompt · alternative

“Kafka / Spark / Airflow / dbt” GPT-5.4 mini · ETL · paraphrase 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.

No model argued against it.

Named alongside

The products named in the same answers as Apache Spark, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Apache Spark was named but was not.

ProductSame answerTook the first choice insteadHead to head

Fivetran5 of 91Not in the top three

Apache Airflow5 of 90Not in the top three

Prefect4 of 91Not in the top three

Databricks4 of 90Not in the top three

dbt4 of 90Not in the top three

Airbyte3 of 91Not in the top three

Hevo Data3 of 90Not in the top three

Microsoft SQL Server Integration Services3 of 90Not in the top three

Stitch3 of 90Not in the top three

Talend3 of 90Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Apache Spark. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 4 of the 9 answers that named Apache Spark and are not a share of its labels.

Domains cited

fivetran.com3

hevodata.com3

airbyte.com2

integrate.io2

sqream.com2

stacksync.com2

aimultiple.com1

businessinthemidlands.co.uk1

candeladata.com.au1

checkthat.ai1

Eighteen of the eighteen domain citations in answers naming Apache Spark came from somebody else's page.

Pages cited

fivetran.com/learn/etl-tools2

hevodata.com/learn/top-free-open-source-etl-tools-to-consider2

sqream.com/blog/best-etl-tools2

stacksync.com/blog/26-best-etl-tools-2025-curated-list2

aimultiple.com/open-source-ai-platforms1

airbyte.com/data-engineering-resources/best-tools-replace-legacy-etl-systems-enterprises1

airbyte.com/data-engineering-resources/compare-data-management-platforms1

airbyte.com/data-engineering-resources/etl-pipeline-pitfalls-to-avoid1

Pages are listed as the models cited them.

Names read as Apache Spark

What the judge wrote, as written, with how often. The vendor table decides that these count as Apache Spark; a claim can dispute any of them.

Apache NiFi / Spark 1Apache Spark (standalone/local) 1Spark 1

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 Apache Spark'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 Apache Spark, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at apache.org is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.