DBMS > Apache HBase vs. GridGain vs. mSQL

System Properties Comparison Apache HBase vs. GridGain vs. mSQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

GridGain is an in-memory computing platform, built on Apache Ignite

mSQL (Mini SQL) is a simple and lightweight RDBMS

Primary database model

Wide column store

Columnar
Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

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

Score	27.41
Rank	#26	Overall
	#2	Wide column stores

Score	1.48
Rank	#150	Overall
	#1	Columnar
	#26	Key-value stores
	#2	Object oriented DBMS
	#69	Relational DBMS

Score	1.26
Rank	#163	Overall
	#74	Relational DBMS

Website

hbase.apache.org

www.gridgain.com

hughestech.com.au/products/msql

Technical documentation

hbase.apache.org/book.html

www.gridgain.com/docs/index.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

GridGain Systems, Inc.

Hughes Technologies

Initial release

2008

2007

1994

Current release

2.3.4, January 2021

GridGain 8.5.1

4.4, October 2021

License

Commercial or Open Source

Open Source

Apache version 2

commercial, open source

commercial

free licenses can be provided

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

Java

Java, C++, .Net, Python, REST, SQL

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux
OS X
Solaris
Windows
z/OS

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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.

yes

Secondary indexes

yes

SQL

Support of SQL

ANSI-99 for query and DML statements, subset of DDL

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

Java API
RESTful HTTP API
Thrift

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

JDBC
ODBC

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C#
C++
Java
PHP
Python
Ruby
Scala

C
C++
Delphi
Java
Perl
PHP
Tcl

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes (compute grid and cache interceptors can be used instead)

Triggers

yes

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes (replicated cache)

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

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

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

Role-based access control
Security Hooks for custom implementations

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

How Exxeta Improves IT Planning with Use-Case Driven Architecture on AWS
29 April 2024, AWS Blog

What Is HBase?
19 August 2021, IBM

Bridge the SQL-NoSQL gap with Apache Phoenix
9 July 2024, InfoWorld

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

HDInsight HBase Accelerated Writes with Premium Data Lake Storage Gen2 is now generally available
17 November 2020, Microsoft

provided by Google News

GridGain Sponsoring Strategic AI and Kafka Conferences This Month
4 September 2024, PR Newswire

GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing
10 July 2024, insideainews.com

GridGain in-memory data and generative AI
10 May 2024, Blocks & Files

GridGain's 2023 Growth Positions Company for Strong 2024
24 January 2024, PR Newswire

Lalit Ahuja
13 August 2024, Forbes

provided by Google News

A Brief History of PHP - Programming PHP, 3rd Edition [Book]
22 September 2018, O'Reilly Media

provided by Google News

Share this page