[
Spark SQL Reviews
](https://www.g2.com/products/spark-sql/reviews)

[
Spark SQL Reviews
](https://www.g2.com/products/spark-sql/reviews)

# Spark SQL Features

##### 
## Database Features (7)

Storage

Availability

Stability

Scalability

Security

Data Manipulation

Query Language

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##### 
## Support (4)

Text Search

Provides support for international character sets and full text search.

Data Types

Supports multiple data types like primitive, structured, document etc.

Languages

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

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##### 
## Security (4)

Database Locking

Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.

Access Control

Allows permissions to be granted or revoked in the database, schema or table levels.

Encryption

Built-in native encryption with enterprise key management.

Authentication

Provides multi-factor authentication with certificates.

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##### 
## Performance (5)

Disaster Recovery

Provides data recovery functionality to protect and restore data in a database.

Data Concurrency

Allows multi-version concurrency control.

Workload Management

Handles workloads, from single machines to data warehouses or web services with many concurrent users.

Advanced Indexing

Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.

Query Optimizer

Helps interpret SQL queries and determine the fastest method of execution.

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##### 
## Management (4)

Data Schema

Data is organized as a set of tables with columns and rows like a table structure.

Query Language

Allows users to create, update and retrieve data in a database.

ACID - Complaint

Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.

Data Replication

Provides log-based or/and trigger-based replication.

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4/5

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Spark SQL Comparisons

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