Spark SQL Features

This feature was mentioned in 26 Spark SQL reviews.

This feature was mentioned in 26 Spark SQL reviews.

This feature was mentioned in 27 Spark SQL reviews.

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

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

This feature was mentioned in 26 Spark SQL reviews.

As reported in 27 Spark SQL reviews.

Provides support for international character sets and full text search. This feature was mentioned in 23 Spark SQL reviews.

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

Based on 26 Spark SQL reviews. Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.

Based on 24 Spark SQL reviews. Available on multiple operating systems like Linux, Windows, MacOS etc.

Prevents other users and applications from accessing data while it is being updated to avoid data loss or update. 24 reviewers of Spark SQL have provided feedback on this feature.

As reported in 23 Spark SQL reviews. Allows permissions to be granted or revoked in the database, schema or table levels.

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

Provides multi-factor authentication with certificates. 24 reviewers of Spark SQL have provided feedback on this feature.

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

Allows multi-version concurrency control. 25 reviewers of Spark SQL have provided feedback on this feature.

Handles workloads, from single machines to data warehouses or web services with many concurrent users. This feature was mentioned in 25 Spark SQL reviews.

Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc. This feature was mentioned in 23 Spark SQL reviews.

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

Based on 26 Spark SQL reviews. Data is organized as a set of tables with columns and rows like a table structure.

Allows users to create, update and retrieve data in a database. 26 reviewers of Spark SQL have provided feedback on this feature.

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.