DBMS > H2 vs. HarperDB vs. Ignite vs. Linter

System Properties Comparison H2 vs. HarperDB vs. Ignite vs. Linter

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

RDBMS for high security requirements

Primary database model

Relational DBMS

Document store

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	9.78
Rank	#51	Overall
	#31	Relational DBMS

Score	0.44
Rank	#248	Overall
	#38	Document stores

Score	6.85
Rank	#62	Overall
	#7	Key-value stores
	#35	Relational DBMS

Score	0.12
Rank	#308	Overall
	#142	Relational DBMS

Website

Technical documentation

www.h2database.com/html/main.html

harperdb.io/developers/documentation/overview

apacheignite.readme.io/docs

Developer

Thomas Mueller

HarperDB

Apache Software Foundation

relex.ru/en

Initial release

2005

2017

2015

1990

Current release

2.1.210, January 2022

3.1, August 2021

Apache Ignite 2.6

License

Commercial or Open Source

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

free community edition available

Open Source

Apache 2.0

commercial

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

Node.js

C++, Java, .Net

C and C++

Server operating systems

All OS with a Java VM

Linux
OS X

Linux
OS X
Solaris
Windows

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

Data scheme

yes

dynamic schema

yes

Typing

predefined data types such as float or date

yes

JSON data types

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

yes

SQL-like data manipulation statements

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

yes

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

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

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

Supported programming languages

Java

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

C#
C++
Java
PHP
Python
Ruby
Scala

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Custom Functions

since release 3.1

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

yes

proprietary syntax with the possibility to convert from PL/SQL

Triggers

yes

yes (cache interceptors and events)

yes

Partitioning methods

Methods for storing different data on different nodes

none

A table resides as a whole on one (or more) nodes in a cluster

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

yes

the nodes on which a table resides can be defined

yes (replicated cache)

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, using LMDB

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

Access rights for users and roles

Security Hooks for custom implementations

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more

Competitive advantages

By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more

Typical application scenarios

Use cases where HarperDB is a better fit than other solutions include: Rapid app...
» more

Key customers

A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more

Market metrics

Over 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...
» more

Licensing and pricing models

HarperDB follows a freemium/premium model . A data base is only as powerful as it...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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