DBMS > H2GIS vs. NSDb vs. Oracle Coherence vs. OrigoDB

System Properties Comparison H2GIS vs. NSDb vs. Oracle Coherence vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Oracles in-memory data grid solution

A fully ACID in-memory object graph database

Primary database model

Spatial DBMS

Time Series DBMS

Key-value store

Document store
Object oriented DBMS

Secondary database models

Relational DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#19	Object oriented DBMS

Website

www.h2gis.org

nsdb.io

www.oracle.com/java/coherence

origodb.com

Technical documentation

www.h2gis.org/docs/home

nsdb.io/Architecture

docs.oracle.com/en/middleware/standalone/coherence

origodb.com/docs

Developer

CNRS

Oracle

Robert Friberg et al

Initial release

2013

2017

2007

2009

under the name LiveDB

Current release

14.1, August 2023

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache Version 2.0

commercial

Open Source

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, Scala

Java

Server operating systems

Linux
macOS

All OS with a Java VM

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

all fields are automatically indexed

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

gRPC
HTTP REST
WebSocket

JCache
JPA
RESTful HTTP API

.NET Client API
HTTP API
LINQ

Supported programming languages

Java

Java
Scala

.Net
C++
Java

.Net

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Live Events

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes, with selectable consistency level

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

yes

optionally

yes

Write ahead log

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes

based on H2

authentification to access the cache via certificates or http basic authentication

Role based authorization

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