DBMS > Apache HBase vs. Transwarp StellarDB

System Properties Comparison Apache HBase vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Wide column store

Graph DBMS

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Trend Chart

Score	24.75
Rank	#26	Overall
	#2	Wide column stores

Score	0.00
Rank	#379	Overall
	#40	Graph DBMS

Website

hbase.apache.org

www.transwarp.cn/en/product/stellardb

Technical documentation

hbase.apache.org/book.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Transwarp

Initial release

2008

Current release

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

Linux
Unix
Windows

using Cygwin

Data scheme

schema-free, schema definition possible

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP API
Thrift

OpenCypher

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

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

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

yes

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More resources

Recent citations in the news

Apache HBase online migration to Amazon EMR | Amazon Web Services
23 October 2024, AWS Blog

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

Set up a standalone HBase local instance and connect to it with Python Happybase
9 February 2020, Towards Data Science

How to interact with HBase using HBase shell [Tutorial]
25 June 2018, packtpub.com

Horizontal Scalability with HBase
26 November 2013, Ericsson

provided by Google News

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