Spark SQL Features

26 reviewers of Spark SQL have provided feedback on this feature.

26 reviewers of Spark SQL have provided feedback on this feature.

This feature was mentioned in 27 Spark SQL reviews.

This feature was mentioned in 27 Spark SQL reviews.

Based on 27 Spark SQL reviews.

Based on 26 Spark SQL reviews.

This feature was mentioned in 27 Spark SQL reviews.

Provides support for international character sets and full text search. 23 reviewers of Spark SQL have provided feedback on this feature.

Supports multiple data types like primitive, structured, document etc. 27 reviewers of Spark SQL have provided feedback on this feature.

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. 26 reviewers of Spark SQL have provided feedback on this feature.

Available on multiple operating systems like Linux, Windows, MacOS etc. 24 reviewers of Spark SQL have provided feedback on this feature.

Based on 24 Spark SQL reviews. Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.

Allows permissions to be granted or revoked in the database, schema or table levels. 23 reviewers of Spark SQL have provided feedback on this feature.

Built-in native encryption with enterprise key management. 22 reviewers of Spark SQL have provided feedback on this feature.

As reported in 24 Spark SQL reviews. Provides multi-factor authentication with certificates.

Based on 25 Spark SQL reviews. Provides data recovery functionality to protect and restore data in a database.

Allows multi-version concurrency control. This feature was mentioned in 25 Spark SQL reviews.

As reported in 25 Spark SQL reviews. Handles workloads, from single machines to data warehouses or web services with many concurrent users.

Based on 23 Spark SQL reviews. Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.

As reported in 25 Spark SQL reviews. Helps interpret SQL queries and determine the fastest method of execution.

Data is organized as a set of tables with columns and rows like a table structure. This feature was mentioned in 26 Spark SQL reviews.

Based on 26 Spark SQL reviews. Allows users to create, update and retrieve data in a database.

As reported in 23 Spark SQL reviews. Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.

Provides log-based or/and trigger-based replication. This feature was mentioned in 26 Spark SQL reviews.