What is Delta Lake?
An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.
Delta Lake is a tool in the Big Data Tools category of a tech stack.
Delta Lake is an open source tool with 1.4K GitHub stars and 255 GitHub forks. Here’s a link to Delta Lake's open source repository on GitHub
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Delta Lake's Features
- ACID Transactions
- Scalable Metadata Handling
- Time Travel (data versioning)
- Open Format
- Unified Batch and Streaming Source and Sink
- Schema Enforcement
- Schema Evolution
- 100% Compatible with Apache Spark API
Delta Lake Alternatives & Comparisons
What are some alternatives to Delta Lake?
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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.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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.
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.