GTM AI Index
Index Vendors Databricks › Alternatives · September 2026 Edition
Two categories · what the models named instead

Alternatives to Databricks, as AI models named them

In the September 2026 Edition, 391 of the 432 answers collected in the two categories where Databricks holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.

Named instead, most often
First choices in the 391 answers that did not name Databricks, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Data warehouse and reverse ETL for marketing

GTM data and infrastructure. Six framings, twelve models, one answer each per buyer segment; an answer counts here when Databricks is not its first choice or an alternative in it.
Small businessDatabricks is #16 of 17 here at 0% of first choices, 20 labels.

Sixty-nine of the seventy-two answers did not name Databricks; it was the first choice in one. The first choices in those sixty-nine answers, thirteen products in all, the eight most named:

Hightouch42 of 69
BigQuery38 of 69
Census15 of 69
Snowflake5 of 69
Polytomic4 of 69
Airbyte1 of 69
Hevo1 of 69
5 more in the record.The full small business standing →
Mid-marketDatabricks is #12 of 14 here at 0% of first choices, 20 labels.

Sixty-five of the seventy-two answers did not name Databricks; it was the first choice in zero. The first choices in those sixty-five answers, thirteen products in all, the eight most named:

Hightouch43 of 65
BigQuery27 of 65
Snowflake20 of 65
Census7 of 65
Weld2 of 65
Adapters1 of 65
ClicData1 of 65
DuckDB1 of 65
5 more in the record.The full mid-market standing →
EnterpriseDatabricks is #10 of 13 here at 0% of first choices, 28 labels.

Fifty-eight of the seventy-two answers did not name Databricks; it was the first choice in one. The first choices in those fifty-eight answers, seven products in all:

Hightouch40 of 58
Snowflake22 of 58
BigQuery10 of 58
Census9 of 58
Improvado1 of 58
Omnata1 of 58
Weld1 of 58
The full enterprise standing →

Data management platforms

GTM data and infrastructure. Six framings, twelve models, one answer each per buyer segment; an answer counts here when Databricks is not its first choice or an alternative in it.
Small businessDatabricks holds 2 labels here, under the 10-label cutoff, so it is unranked.

Seventy-one of the seventy-two answers did not name Databricks; it was the first choice in zero. The first choices in those seventy-one answers, thirty-six products in all, the eight most named:

Segment8 of 71
Apollo.io6 of 71
HubSpot6 of 71
Airtable4 of 71
ClicData4 of 71
Fivetran4 of 71
BigQuery3 of 71
Klaviyo3 of 71
28 more in the record.The full small business standing →
Mid-marketDatabricks is #10 of 11 here at 0% of first choices, 16 labels.

Sixty-five of the seventy-two answers did not name Databricks; it was the first choice in three. The first choices in those sixty-five answers, thirty-three products in all, the eight most named:

Segment10 of 65
Hightouch6 of 65
Tealium4 of 65
ClicData3 of 65
AdRoll ABM2 of 65
BigQuery2 of 65
Demandbase2 of 65
25 more in the record.The full mid-market standing →
EnterpriseDatabricks is #9 of 13 here at 0% of first choices, 15 labels.

Sixty-three of the seventy-two answers did not name Databricks; it was the first choice in three. The first choices in those sixty-three answers, twenty-eight products in all, the eight most named:

20 more in the record.The full enterprise standing →

How to read this

A category is asked six ways of each of twelve models on behalf of each buyer segment, so a segment is seventy-two answers. An answer belongs on this page when the judge labeled Databricks neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named Databricks only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from Databricks's side.

Every answer and every label is in the free record. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Databricks was named by a model, not endorsed by anyone.