Apache Hop
7.7#1 in data preparation for analyticsFree planFree planWebAPILinuxmacOS
VisitApache Hop vs Matillion Data Productivity Cloud
Matillion Data Productivity Cloud
5.9#17 in etl softwareWeb
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| Fact | Apache Hop | Matillion Data Productivity Cloud |
|---|---|---|
| Integrations | Listed integrations include PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, BigQuery, Redshift, Databricks, MongoDB, Neo4j, Kafka, Cassandra, Salesforce, SAP, Parquet, Avro, S3, Azure Blob, Google Cloud Storage, REST and SFTP. | Matillion identifies Snowflake, Databricks, BigQuery, and Redshift as cloud data platforms supported by Maia Foundation. |
| Pipeline design | Users can build pipelines on a canvas, preview rows at each step, and view live data and metrics while a pipeline runs. | Users can build pipelines with a visual low-code canvas, SQL or Python components, and imported dbt models. |
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | The Data Productivity Cloud builds and manages data pipelines and delivers data for AI and analytics. |
Apache Hop plans
- Apache HopFree
Matillion Data Productivity Cloud plans
- DeveloperPriced on request
- TeamsPriced on request
- ScalePriced on request
Pick Apache Hop if…
Hop suits data teams that want visual pipeline design and workflow orchestration across varied databases and execution environments. It is appropriate for users able to manage Java 21 for version 2.19.0 and carefully restrict destructive operations.
Pick Matillion Data Productivity Cloud if…
Developer is intended for individuals, Teams for scaling businesses, and Scale for large organizations. The platform may suit teams that need pipeline development with batch loading, CDC, and custom-code transformations.