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Apache Hop vs Coalesce Catalog

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Apache Hop

7.7#1 in data preparation for analyticsFree plan
Free planWebAPILinuxmacOS
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What both publish

FactApache HopCoalesce Catalog
IntegrationsListed 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.Catalog integrations include warehouses and databases such as Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, SQL Server, and Salesforce; BI tools such as Tableau, Power BI, Looker, Sigma, Qlik Sense, and Metabase; Airflow, dbt, Fivetran, Monte Carlo, Soda, Slack, Gmail, Okta, and Google SSO.
MarketplaceOptional plugins can be installed from Apache or Maven repositories through a GUI, CLI or declarative hop-env.yaml file.Catalog includes a separate Marketplace interface for publishing curated, production-ready data products to business consumers.
PurposeApache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows.Coalesce Catalog connects across the data stack, documents assets with AI, and keeps lineage, ownership, and definitions current automatically.

Apache Hop plans

  • Apache HopFree

Coalesce Catalog plans

  • DeveloperFree
  • Starter$150 a month
  • Business CriticalPriced on request
  • EnterprisePriced 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 Coalesce Catalog if…

Coalesce Catalog suits data engineers and analysts who need searchable documentation, lineage, and governance across connected data systems. Its organization-wide design is intended for people to use without training, while the integrations and API support teams managing varied platforms.

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