DBMS > Blueflood vs. gStore vs. Sequoiadb

System Properties Comparison Blueflood vs. gStore vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

A native Graph DBMS to store and maintain very large RDF datasets.

NewSQL database with distributed OLTP and SQL

Primary database model

Time Series DBMS

Graph DBMS
RDF store

Document store
Relational DBMS

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

Score	0.06
Rank	#353	Overall
	#36	Time Series DBMS

Score	0.01
Rank	#373	Overall
	#39	Graph DBMS
	#20	RDF stores

Score	0.33
Rank	#273	Overall
	#43	Document stores
	#126	Relational DBMS

Website

blueflood.io

en.gstore.cn

www.sequoiadb.com

Technical documentation

github.com/rax-maas/blueflood/wiki

en.gstore.cn/#/enDocs

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Rackspace

Sequoiadb Ltd.

Initial release

2013

2016

2013

Current release

1.2, November 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD

Open Source

Server: AGPL; Client: Apache V2

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

Linux
OS X

Linux

Data scheme

predefined scheme

schema-free and OWL/RDFS-schema support

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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 query language

APIs and other access methods

HTTP REST

HTTP API
SPARQL 1.1

proprietary protocol using JSON

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

Document is locked during a transaction

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

simple password-based access control

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