DBMS > RocksDB vs. SiriDB vs. Spark SQL

System Properties Comparison RocksDB vs. SiriDB vs. Spark SQL

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Editorial information provided by DB-Engines

Name

Description

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Open Source Time Series DBMS

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

Primary database model

Key-value store

Time Series DBMS

Relational DBMS

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

Score	3.92
Rank	#94	Overall
	#15	Key-value stores

Score	0.09
Rank	#385	Overall
	#39	Time Series DBMS

Score	19.21
Rank	#37	Overall
	#23	Relational DBMS

Website

rocksdb.org

siridb.com

spark.apache.org/sql

Technical documentation

github.com/facebook/rocksdb/wiki

docs.siridb.com

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

Developer

Facebook, Inc.

Cesbit

Apache Software Foundation

Initial release

2013

2017

2014

Current release

7.10.2, March 2023

3.4.1 ( 2.13), June 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

MIT License

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Scala

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data

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

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

C++ API
Java API

HTTP API

JDBC
ODBC

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

C
C++
Go
Python

Java
Python
R
Scala

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

yes, utilizing Spark Core

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

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.

yes

User concepts

Access control

simple rights management via user accounts

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