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Spark SQL
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Spark SQL Features

What are the features of Spark SQL?

Database Features

  • Storage
  • Availability
  • Stability
  • Scalability
  • Security
  • Data Manipulation
  • Query Language

Support

  • Data Types
  • Languages

Performance

  • Disaster Recovery
  • Data Concurrency
  • Workload Management

Management

  • Data Schema
  • Query Language
  • Data Replication

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Filter for Features

Database Features

Storage

26 reviewers of Spark SQL have provided feedback on this feature.
83%
(Based on 26 reviews)

Availability

This feature was mentioned in 26 Spark SQL reviews.
87%
(Based on 26 reviews)

Stability

27 reviewers of Spark SQL have provided feedback on this feature.
87%
(Based on 27 reviews)

Scalability

Based on 27 Spark SQL reviews.
89%
(Based on 27 reviews)

Security

Based on 27 Spark SQL reviews.
85%
(Based on 27 reviews)

Data ManipulationView full feature definition

See feature definition
26 reviewers of Spark SQL have provided feedback on this feature.
85%
(Based on 26 reviews)

Query Language

As reported in 27 Spark SQL reviews.
83%
(Based on 27 reviews)

Support

Text Search

As reported in 23 Spark SQL reviews. Provides support for international character sets and full text search.
80%
(Based on 23 reviews)

Data Types

Based on 27 Spark SQL reviews. Supports multiple data types like primitive, structured, document etc.
81%
(Based on 27 reviews)

Languages

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc. 26 reviewers of Spark SQL have provided feedback on this feature.
82%
(Based on 26 reviews)

Operating Systems

As reported in 24 Spark SQL reviews. Available on multiple operating systems like Linux, Windows, MacOS etc.
88%
(Based on 24 reviews)

Security

Database Locking

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.
87%
(Based on 24 reviews)

Access Control

Based on 23 Spark SQL reviews. Allows permissions to be granted or revoked in the database, schema or table levels.
83%
(Based on 23 reviews)

Encryption

Built-in native encryption with enterprise key management. This feature was mentioned in 22 Spark SQL reviews.
84%
(Based on 22 reviews)

Authentication

Based on 24 Spark SQL reviews. Provides multi-factor authentication with certificates.
85%
(Based on 24 reviews)

Performance

Disaster Recovery

Based on 25 Spark SQL reviews. Provides data recovery functionality to protect and restore data in a database.
87%
(Based on 25 reviews)

Data Concurrency

Based on 25 Spark SQL reviews. Allows multi-version concurrency control.
85%
(Based on 25 reviews)

Workload Management

Handles workloads, from single machines to data warehouses or web services with many concurrent users. 25 reviewers of Spark SQL have provided feedback on this feature.
86%
(Based on 25 reviews)

Advanced Indexing

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.
79%
(Based on 23 reviews)

Query Optimizer

Based on 25 Spark SQL reviews. Helps interpret SQL queries and determine the fastest method of execution.
86%
(Based on 25 reviews)

Management

Data Schema

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.
87%
(Based on 26 reviews)

Query Language

Based on 26 Spark SQL reviews. Allows users to create, update and retrieve data in a database.
85%
(Based on 26 reviews)

ACID - Complaint

As reported in 23 Spark SQL reviews. Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.
83%
(Based on 23 reviews)

Data Replication

Based on 26 Spark SQL reviews. Provides log-based or/and trigger-based replication.
83%
(Based on 26 reviews)
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