Apache IcebergApache Iceberg
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 Databases category of a tech stack.
Key Features
Expressive SQLFull schema evolutionHidden partitioningTime travel and rollbackData compaction
Apache Iceberg Pros & Cons
Pros of Apache Iceberg
No pros listed yet.
Cons of Apache Iceberg
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Apache Iceberg Alternatives & Comparisons
What are some alternatives to Apache Iceberg?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
