DBMS > Spark SQL vs. STSdb

System Properties Comparison Spark SQL vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

Spark SQL is a component on top of 'Spark Core' for structured data processing

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	20.09
Rank	#35	Overall
	#21	Relational DBMS

Score	0.43
Rank	#315	Overall
	#43	Key-value stores

Website

spark.apache.org/sql

github.com/STSSoft/STSdb4

Technical documentation

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Apache Software Foundation

STS Soft SC

Initial release

2014

2011

Current release

3.4.0 ( 2.13), April 2023

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Scala

Server operating systems

Linux
OS X
Windows

Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

.NET Client API

Supported programming languages

Java
Python
R
Scala

C#
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes, utilizing Spark Core

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

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More resources

Recent citations in the news

Spark SQL Explained with Examples
22 February 2023, Spark By {Examples}

What is Spark SQL?
6 August 2022, Databricks

Spark SQL Tutorial - Learn Spark SQL
9 May 2023, intellipaat.com

Spark SQL Inner Join Explained
1 January 2023, Spark By {Examples}

Spark SQL Self Join Explained
7 February 2023, Spark By {Examples}

provided by Google News

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