DBMS > Blueflood vs. EsgynDB vs. Galaxybase vs. Transwarp StellarDB

System Properties Comparison Blueflood vs. EsgynDB vs. Galaxybase vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Scalable, ACID-compliant native distributed parallel graph platform

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Time Series DBMS

Relational DBMS

Graph DBMS

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

Score	0.06
Rank	#352	Overall
	#36	Time Series DBMS

Score	0.15
Rank	#325	Overall
	#144	Relational DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Website

blueflood.io

www.esgyn.cn

galaxybase.com

www.transwarp.cn/en/product/stellardb

Technical documentation

github.com/rax-maas/blueflood/wiki

Developer

Rackspace

Esgyn

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Transwarp

Initial release

2013

2015

2017

Current release

Nov 20, November 2021

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

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++, Java

C and Java

Server operating systems

Linux
OS X

Linux

Data scheme

predefined scheme

yes

Strong typed schema

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

yes

SQL-like query language

APIs and other access methods

HTTP REST

ADO.NET
JDBC
ODBC

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

OpenCypher

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

Go
Java
Python

Server-side scripts

Stored procedures

Java Stored Procedures

user defined procedures and functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Multi-source replication between multi datacenters

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

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

Role-based access control

yes

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