DBMS > Altibase vs. Blueflood vs. Graph Engine vs. TerarkDB

System Properties Comparison Altibase vs. Blueflood vs. Graph Engine vs. TerarkDB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Scalable TimeSeries DBMS based on Cassandra

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB

Primary database model

Relational DBMS

Time Series DBMS

Graph DBMS
Key-value store

Key-value store

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

Score	0.95
Rank	#180	Overall
	#88	Relational DBMS

Score	0.02
Rank	#344	Overall
	#31	Time Series DBMS

Score	0.91
Rank	#184	Overall
	#16	Graph DBMS
	#30	Key-value stores

Score	0.00
Rank	#354	Overall
	#54	Key-value stores

Website

altibase.com

blueflood.io

www.graphengine.io

github.com/Terark/terarkdb

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

github.com/rackerlabs/blueflood/wiki

www.graphengine.io/docs/manual

github.com/Terark/terarkdb/wiki

Developer

Altibase

Rackspace

Microsoft

Terark

Initial release

1999

2013

2010

2016

Current release

v7.1.0.5.3, March 2021

License

Commercial or Open Source

Open Source

since February 2018

Open Source

Apache 2.0

Open Source

MIT License

commercial

restricted open source version available

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++

Java

.NET and C

C++

Server operating systems

AIX
HP-UX
Linux

Linux
OS X

.NET

Data scheme

yes

predefined 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

ANSI SQL-92

APIs and other access methods

JDBC
ODBC
Proprietary protocol

HTTP REST

RESTful HTTP API

C++ API
Java API

Supported programming languages

C
C++
Java

C#
C++
F#
Visual Basic

C++
Java

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on Cassandra

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

fine grained access rights according to SQL-standard

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