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Tools · Category

etl elt transformation, ranked by real usage_

As of 4 November 2026, Microsoft Power Query leads etl elt transformation with 3,661 companies naming it in job postings, ahead of Azure Data Factory at 2,199.

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

Leader
Microsoft Power Query · 3,661
Runner-up
Azure Data Factory · 2,199
Most hiring, 90 days
Microsoft Power Query
Highest postings per company
Databricks Lakeflow
Catalogue
T-1.0.1-prov
17,260companies across the category
21%of them on Microsoft Power Query
45,976postings naming a etl elt transformation in 90 days
40tools with enough evidence to rank
02 — Ranking

Every etl elt transformation we can measure

Companies naming the tool, and postings naming it in the last 90 days. Bars are relative to the leader.

#ToolCompaniescompaniesPostings, 90 dayspostingsper company
1
Microsoft Power QueryMicrosoft
3,661
7,9902.2
2
Azure Data FactoryMicrosoft
2,199
5,9722.7
3
dbtdbt Labs
1,758
4,8862.8
4
SQL Server Integration ServicesMicrosoft
1,510
3,8812.6
5
AWS GlueAmazon Web Services
1,256
3,6112.9
6
InformaticaInformatica
1,158
3,5693.1
7
FivetranFivetran
644
1,1731.8
8
TalendQlik
558
1,3862.5
9
SAP Data ServicesSAP
365
1,3343.7
10
Apache NiFiApache Software Foundation
363
1,4013.9
11
Salesforce Data LoaderSalesforce
249
4351.7
12
IBM DataStageIBM
242
1,0354.3
13
AirbyteAirbyte
230
3391.5
14
Informatica PowerCenterInformatica
222
5642.5
15
DebeziumRed Hat
207
3311.6
16
Informatica IDMCInformatica
195
6773.5
17
Delta Live TablesDatabricks
191
4982.6
18
Oracle Data IntegratorOracle
179
4212.4
19
DataformGoogle
168
3091.8
20
FMESafe Software
166
4462.7
21
MatillionMatillion
143
3562.5
22
dltdltHub
137
4193.1
23
Kafka ConnectApache Software Foundation
118
2702.3
24
Apache SqoopApache Software Foundation
115
1451.3
25
SnowpipeSnowflake
107
2512.3
26
Dataflows Gen2Microsoft
100
1962.0
27
PentahoHitachi Vantara
100
1831.8
28
dbt Clouddbt Labs
97
1681.7
29
AWS Database Migration ServiceAmazon Web Services
93
2112.3
30
SAP SLTSAP
86
2803.3
31
Databricks LakeflowDatabricks
81
1,51118.7
32
Ab InitioAb Initio Software
79
7479.5
33
SupermetricsSupermetrics
75
971.3
34
Tableau PrepSalesforce
74
1662.2
35
StitchQlik
69
1732.5
36
Microsoft Fabric Data FactoryMicrosoft
68
1151.7
37
Apache FlumeApache Software Foundation
64
1021.6
38
Google DatastreamGoogle
57
1693.0
39
SQLMeshTobiko Data
44
721.6
40
Qlik ReplicateQlik
32
872.7
03 — Head to head

Compare two tools

Same data, two columns: who chooses which by size, industry and country.

Microsoft Power Query vs Azure Data Factory3,661 · 2,199Microsoft Power Query vs dbt3,661 · 1,758Microsoft Power Query vs SQL Server Integration Services3,661 · 1,510Microsoft Power Query vs AWS Glue3,661 · 1,256Microsoft Power Query vs Informatica3,661 · 1,158Azure Data Factory vs dbt2,199 · 1,758Azure Data Factory vs SQL Server Integration Services2,199 · 1,510Azure Data Factory vs AWS Glue2,199 · 1,256Azure Data Factory vs Informatica2,199 · 1,158dbt vs SQL Server Integration Services1,758 · 1,510dbt vs AWS Glue1,758 · 1,256dbt vs Informatica1,758 · 1,158SQL Server Integration Services vs AWS Glue1,510 · 1,256SQL Server Integration Services vs Informatica1,510 · 1,158AWS Glue vs Informatica1,256 · 1,158
Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

Microsoft Power Query leads etl elt transformation with 3,661 companies naming it in job postings, ahead of Azure Data Factory at 2,199. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/category/etl-elt-transformation)
How we know

Read from the source, not self-reported

Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →

  • CatalogueBreaknorm technology catalogue T-1.0.1-prov: 6,296 tools with vendor and category, editions folded into their parent.
  • CompaniesCompanies whose own postings name the tool as the team's system, any confidence. Candidate wish-lists excluded.
  • 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
  • Not countedTools used by teams that do not post jobs, and companies without a career site we can read.
FAQ

etl elt transformation: questions

How is this ranking made?

By the number of companies whose own job postings name the tool as the team's system, from the Breaknorm technology catalogue (version T-1.0.1-prov). No vendor paid for a position and no editor chose the order.

Why is this different from review-site rankings?

Review sites rank by reviews collected. This ranks by companies hiring people to work in the tool, which is closer to seats in use. It under-counts tools used by teams that rarely post jobs.

What about product editions?

Editions and sub-products () are counted under the parent so no company is counted twice.

Can I get the companies behind a number?

Yes: click a tool, see the first 20, and sign up for the full list with verified e-mails. Counting is free.

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