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Apache Hop vs dbt Semantic Layer

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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 Hopdbt Semantic Layer
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.The product page says the Semantic Layer offers an API, the dbt MCP Server, and dozens of out-of-the-box integrations for BI, notebooks, spreadsheets, embedded analytics, and AI systems.
LicenceApache Hop is released under the Apache License 2.0.The dbt Semantic Layer service and APIs are proprietary cloud software; MetricFlow and dbt-semantic-interfaces are Apache 2.0 licensed.
PurposeApache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows.The Semantic Layer centralizes metric definitions on dbt models and automatically handles data joins for consistent use across downstream tools and applications.

Apache Hop plans

  • Apache HopFree

dbt Semantic Layer plans

  • DeveloperFree
  • dbt State add-on$0.09 a month
  • Starter$100 a month
  • EnterprisePriced on request
  • Enterprise+Priced 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 dbt Semantic Layer if…

The Semantic Layer suits data teams that need governed, consistent metrics for analytics, embedded applications, or AI use cases. It is for organizations already using dbt Starter or Enterprise accounts to define and query metrics.

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