Etleap
Alternatives with evidence
Etleap is an ETL solution for creating perfect data pipelines.
Vendors that share product tags or the Data platforms category with Etleap and carry public evidence, ranked by shared tags, description similarity and overlapping evidence.
Flydata Sync
Data platforms
Integrate.io is a low-code data pipeline platform for ETL, ELT, and Reverse
Fivetran
Data platforms
The leader in automated data movement
Integrate.io
Data platforms
Integrate.io is a low-code data pipeline platform for ETL, ELT, and Reverse
Polytomic
Data platforms
No-code data syncing between your systems
Informatica
Data platforms
Informatica (NYSE: INFA), an Enterprise Cloud Data Management leader, brings data to life by empowering businesses to realize the
Databricks
Data platforms
Databricks offers a unified platform for data, analytics and
Flatfile
Data platforms
Flatfile is the AI data preparation and migration software that helps teams extract, prepare, map, transform, and validate messy
QlikTech
Data platforms
Qlik, now with Talend, delivers a data fabric and next-level insights with its end-to-end data integration, data quality, & analytics
Safe Software
Data platforms
We help organizations do more with their
Bedrock Data
bedrockdata.com
Enso
Data platforms
Self-Service Data Prep and Blend Built for Data Teams.
Pentaho
Data platforms
Modular and enterprise-ready, Pentaho simplifies complex data workflows across cloud, hybrid, and on-prem environments—making your data
Datafold
Data platforms
Automating manual and repetitive data engineering tasks with AI
Coalesce
Data platforms
Coalesce is the data operating layer where humans and AI agents build, govern, and observe data together, in one governed
Axiom
Data platforms
The modern machine data platform — Petabyte-scale, schema-less ingest on a fully managed event store, so you keep every byte without the
Census
Data platforms
Effortlessly centralize all the data you need so your team can deliver better insights
dbt Labs
Data platforms
dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and