Catalogs
Enterprises are challenged with wide variety and a huge amount of data. A catalog helps in organizing and managing data assets. Finding and accessing data is easier with a catalog. Also, they bring a structure to data and help in having a common vocabulary.
Iceberg
Iceberg catalog is used by Apache Iceberg, which is an open source table format for large-scale data lakes. Key features of the Iceberg catalog include:
- Metadata management
- ACID transactions
- Schema evolution
- Time travel
- Partitioning and performance optimization
- Integration with query engines
Apache Hive
Hive catalog manages metadata and other data assets within the Apache Hive framework, which is a data warehousing system. Key features of Hive catalog include:
- Metadata management
- Database organization
- Integration with other data processing tools
- Query optimization
Apache Hudi
Hudi (Hadoop Upserts Deletes and Incremental) catalog is the metadata management component of Apache Hudi, which is a data management framework for large-scale data lakes. Key features of Hudi include:
- Metadata management
- Upserts and deletes
- Data versioning
- Integration with query engines
- Read and write optimization
Delta Lake
A Delta Lake catalog is the metadata management system that is used by Delta Lake, which is an open-source storage layer to enable ACID transactions for big data workloads on cloud storage and data lakes. Key features of the Delta Lake catalog include:
- Metadata management
- ACID transactions
- Schema evolution and enforcement
- Time travel
- Performance optimization
- Integration with data processing frameworks, such as Apache Spark