BRIEF OVERVIEW
Databricks Delta is not an open-source technology. It is a proprietary data storage and processing solution provided by Databricks, a company founded by the original creators of Apache Spark.
Databricks Delta combines data lake capabilities with streaming and batch processing to provide optimized performance, reliability, and simplified management for big data workloads. It enables users to efficiently store, manage, query, and analyze large amounts of structured and unstructured data.
FAQs
Q: What are the key features of Databricks Delta?
A: Some key features of Databricks Delta include:
- ACID transactions for consistent updates and rollbacks
- Data versioning for auditing and reproducibility
- Optimized file formats like Parquet for efficient storage and querying
- Data skipping indexes for faster queries on large datasets
- In-place updates and deletes without rewriting entire tables
- Easier schema evolution with schema enforcement options
Q: Can I access the source code of Databricks Delta?
A: No, the source code of Databricks Delta is not publicly available as it is a closed-source product developed by Databricks.
Q: Is there any open-source alternative to Databricks Delta?