DBMS > Apache Spark (SQL) vs. ReductStore

System Properties Comparison Apache Spark (SQL) vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

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

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Relational DBMS

Time Series DBMS

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Trend Chart

Score	21.62
Rank	#29	Overall
	#18	Relational DBMS

Score	0.06
Rank	#355	Overall
	#37	Time Series DBMS

Website

spark.apache.org/sql

github.com/reductstore
www.reduct.store

Technical documentation

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

www.reduct.store/docs

Developer

Apache Software Foundation

ReductStore LLC

Initial release

2014

2023

Current release

3.5.0 ( 2.13), September 2023

1.9, March 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Business Source License 1.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Scala

C++, Rust

Server operating systems

Linux
OS X
Windows

Docker
Linux
macOS
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

HTTP API

Supported programming languages

Java
Python
R
Scala

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes, utilizing Spark Core

Replication methods

Methods for redundantly storing data on multiple nodes

none

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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