DBMS > RocksDB vs. RRDtool vs. SQream DB

System Properties Comparison RocksDB vs. RRDtool vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

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

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Key-value store

Time Series DBMS

Relational DBMS

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

Score	4.00
Rank	#84	Overall
	#11	Key-value stores

Score	2.14
Rank	#124	Overall
	#10	Time Series DBMS

Score	0.73
Rank	#228	Overall
	#105	Relational DBMS

Website

rocksdb.org

oss.oetiker.ch/rrdtool

sqream.com

Technical documentation

github.com/facebook/rocksdb/wiki

oss.oetiker.ch/rrdtool/doc

docs.sqream.com

Developer

Facebook, Inc.

Tobias Oetiker

SQream Technologies

Initial release

2013

1999

2017

Current release

8.11.4, April 2024

1.8.0, 2022

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

BSD

Open Source

GPL V2 and FLOSS

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Implementations in Java (e.g. RRD4J) and C# available

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux

HP-UX
Linux

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

Numeric data only

yes, ANSI Standard SQL Types

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.

Exporting into and restoring from XML files possible

Secondary indexes

SQL

Support of SQL

yes

APIs and other access methods

C++ API
Java API

in-process shared library
Pipes

.Net
JDBC
ODBC

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions in Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

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

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