What is Apache Iceberg?
It is a high-performance format for huge analytic tables. It brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to work safely with the same tables simultaneously.
Apache Iceberg is a tool in the Big Data Tools category of a tech stack.
Apache Iceberg is an open source tool with 6.5K GitHub stars and 2.3K GitHub forks. Here’s a link to Apache Iceberg's open source repository on GitHub
Who uses Apache Iceberg?
Companies
3 companies reportedly use Apache Iceberg in their tech stacks, including main, Data Engineering, and Data Engineering.
Developers
6 developers on StackShare have stated that they use Apache Iceberg.
Apache Iceberg Integrations
Amazon Web Services (AWS), Apache Spark, Apache Flink, Presto, and Apache Hive are some of the popular tools that integrate with Apache Iceberg. Here's a list of all 7 tools that integrate with Apache Iceberg.
Apache Iceberg's Features
- Expressive SQL
- Full schema evolution
- Hidden partitioning
- Time travel and rollback
- Data compaction
Apache Iceberg Alternatives & Comparisons
What are some alternatives to Apache Iceberg?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
Related Comparisons
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