Apache Hop
7.7#1 in data preparation for analyticsFree planFree planWebAPILinuxmacOS
VisitApache Hop vs EasyMorph
What both publish
| Fact | Apache Hop | EasyMorph |
|---|---|---|
| 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. | EasyMorph advertises more than 50 integrations, including Excel, Airtable, Google Drive, Power BI, Tableau, SQL databases, Slack, SFTP, S3, Azure Blob, Salesforce, Snowflake, Jira and Zendesk. |
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | EasyMorph describes itself as a visual drag-and-drop data tool and data engineering platform for data automation. |
| Security | The security page advises upgrading to a version containing a vulnerability fix because binary patches are not produced for individual vulnerabilities. | The maker describes Hub as fully self-hosted and 100% private. |
Apache Hop plans
- Apache HopFree
EasyMorph plans
- EasyMorph Desktop FreeFree
- EasyMorph Desktop Pro$900 a year
- EasyMorph Desktop Pro — 3 months$300 a month
- Basic Hub$3,600 a year
- Starter Hub$7,200 a year
- Team Hub$12,000 a year
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 EasyMorph if…
It suits data engineers and non-technical users such as finance analysts or marketing managers who need visual data workflows. Windows users who want a free edition for commercial use may also find it relevant.