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Apache Hop vs Miller

Apache Hop logo

Apache Hop

7.7#1 in data preparation for analyticsFree plan
Free planWebAPILinuxmacOS
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Miller

6.1#25 in data transformation toolsFree plan
Free planLinuxmacOSSelf-hostedWindows
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What both publish

FactApache HopMiller
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 documentation describes Miller as complementary to R, pandas, SQL databases, and the Unix toolkit.
LicenseThe project says Hop is developed in the open under the Apache License 2.0.The project repository identifies Miller's license as two-clause BSD.
PurposeApache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows.Miller is a command-line tool for querying, shaping, and reformatting data files in formats including CSV, TSV, JSON, JSON Lines, YAML, and DCF.

Apache Hop plans

  • Apache HopFree

Miller plans

  • MillerFree

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 Miller if…

Miller suits people working with structured data from a command line, including users in DevOps, data science, and biology or genomics. It can fit workflows that need to reshape or convert named-field data across several formats.

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