Apache Hop
7.7#1 in data preparation for analyticsFree planFree planWebAPILinuxmacOS
VisitApache Hop vs Matillion Transform
Matillion Transform
6.1#24 in data transformation toolsFree planFree planWebSelf-hosted
VisitWhat both publish
| Fact | Apache Hop | Matillion Transform |
|---|---|---|
| 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. | The product page lists Amazon S3, PostgreSQL, SAP, Salesforce, and Google Analytics among its pre-built connectors. |
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | Matillion Transform is presented as a data transformation product for building pipelines and delivering data for AI and analytics. |
| Security | The security page advises upgrading to a version containing a vulnerability fix because binary patches are not produced for individual vulnerabilities. | Matillion's Trust Center states that it undergoes an annual SOC 2 Type 2 external audit and is ISO 27001:2022 compliant. |
Apache Hop plans
- Apache HopFree
Matillion Transform plans
- DeveloperFree
- ScalePriced on request
- TeamsPriced 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 Transform if…
Developer is described for individuals, Teams for scaling businesses, and Scale for large organizations. It may suit users building visual or code-based data pipelines and teams that need Git features or listed connectors.