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Entrans

Data engineering solutions provider with expertise in data lakes, lakehouses, and real-time streaming pipelines

Answer-First Summary

Entrans is a data engineering firm of around 100 people, founded in 2020, built around lakehouse architecture and real-time streaming pipelines across AWS, Azure, GCP, Snowflake, Databricks, and dbt. Platform migration and data modernization are both rated Expert. Technology, Financial Services, and Healthcare buyers looking for end-to-end data engineering — from lake design through pipeline delivery — at a mid-range rate are the clearest fit.

Best for
End-to-end data engineering; data lakehouse implementations
Wrong for
Entrans is the wrong choice for a buyer with significant legacy system integration requirements - the firm was founded in 2020 and its 100-person team is built entirely around modern lakehouse and streaming architectures, with no profile evidence of mainframe, SAP, or older on-premises system depth.

Research Notes for Entrans

Evidence Signal

Founded in 2020 and operating across five major cloud and warehouse platforms, Entrans is a relatively young firm; its 100-person headcount and Expert-level capability ratings in both platform migration and data modernization indicate a team built specifically for modern stack work rather than legacy system expertise.

Rate & Scope Note

Entrans's $75-150/hr rate and $25K+ minimum project position it as a cost-conscious option for End-to-end data engineering; data lakehouse implementations. Buyers should weigh that price point against its high mid-market fit and expert platform migration, expert data modernization, strong AI and ML enablement.

Differentiators

  • AWS plus Azure coverage instead of a generic all-platform claim.
  • Technology positioning with high mid-market fit.
  • Capability profile highlights expert platform migration, expert data modernization, strong AI and ML enablement.

Service Capabilities

platform Migration
Expert
data Modernization
Expert
ai Ml Enablement
Strong
business Analytics
Strong

Expertise & Focus

Core Platforms

aws azure gcp snowflake databricks

AWS, Azure, GCP, Snowflake, Databricks, dbt

Industries

Technology, Financial Services, Healthcare

Best For

End-to-end data engineering; data lakehouse implementations

Wrong For

Entrans is the wrong choice for a buyer with significant legacy system integration requirements - the firm was founded in 2020 and its 100-person team is built entirely around modern lakehouse and streaming architectures, with no profile evidence of mainframe, SAP, or older on-premises system depth.

Company Analysis

Entrans is a data engineering firm of around 100 people, founded in 2020, built around lakehouse architecture and real-time streaming pipelines across AWS, Azure, GCP, Snowflake, Databricks, and dbt. Platform migration and data modernization are both rated Expert. Technology, Financial Services, and Healthcare buyers looking for end-to-end data engineering — from lake design through pipeline delivery — at a mid-range rate are the clearest fit.

Founded in 2020 and operating across five major cloud and warehouse platforms, Entrans is a relatively young firm; its 100-person headcount and Expert-level capability ratings in both platform migration and data modernization indicate a team built specifically for modern stack work rather than legacy system expertise.

Entrans's $75-150/hr rate and $25K+ minimum project position it as a cost-conscious option for End-to-end data engineering; data lakehouse implementations. Buyers should weigh that price point against its high mid-market fit and expert platform migration, expert data modernization, strong AI and ML enablement.

Capability scoring flags Entrans as expert in platform migration, expert in data modernization, strong in ai ml enablement , which helps distinguish it from firms with similar platform coverage.

Weighing Entrans against other options? See where it sits among the top data engineering companies in our independent 2026 directory - profiled by rate, platform focus, and fit.