DBMS > OushuDB vs. RocksDB vs. TempoIQ vs. Warp 10

System Properties Comparison OushuDB vs. RocksDB vs. TempoIQ vs. Warp 10

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

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

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Relational DBMS

Key-value store

Time Series DBMS

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

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	2.84
Rank	#97	Overall
	#16	Key-value stores

Score	0.06
Rank	#351	Overall
	#35	Time Series DBMS

Website

www.oushu.com/product/oushuDB

rocksdb.org

tempoiq.com (offline)

www.warp10.io

Technical documentation

www.oushu.com/documentation

github.com/facebook/rocksdb/wiki

www.warp10.io/content/02_Getting_started

Developer

Oushu

Facebook, Inc.

TempoIQ

SenX

Initial release

2013

2012

2015

Current release

4.0.1, August 2020

9.4.0, June 2024

License

Commercial or Open Source

commercial

Open Source

BSD

commercial

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

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

yes

SQL

Support of SQL

Full-featured ANSI SQL support

APIs and other access methods

JDBC
ODBC

C++ API
Java API

HTTP API

HTTP API
Jupyter
WebSocket

Supported programming languages

C
C++

C
C++
Go
Java
Perl
Python
Ruby

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

Transaction concepts

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

ACID

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

Kerberos, SSL and role based access

simple authentication-based access control

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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