DBMS > Hyprcubd vs. OpenTenBase vs. Oracle Coherence vs. OrigoDB

System Properties Comparison Hyprcubd vs. OpenTenBase vs. Oracle Coherence vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Serverless Time Series DBMS

An enterprise-level distributed HTAP open source database based on PostgreSQL

Oracles in-memory data grid solution

A fully ACID in-memory object graph database

Primary database model

Time Series DBMS

Relational DBMS

Key-value store

Document store
Object oriented DBMS

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

Score	0.08
Rank	#370	Overall
	#156	Relational 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

hyprcubd.com (offline)

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

www.oracle.com/java/coherence

origodb.com

Technical documentation

docs.opentenbase.org
docs.opentenbase.org/en

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

origodb.com/docs

Developer

Hyprcubd, Inc.

OpenAtom Foundation, previously Tencent

Oracle

Robert Friberg et al

Initial release

2007

2009

under the name LiveDB

Current release

2.5, January 2024

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

BSD-3

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

Linux

All OS with a Java VM

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, 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

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

gRPC (https)

JCache
JPA
RESTful HTTP API

.NET Client API
HTTP API
LINQ

Supported programming languages

C
Go
Java
PHP
Python

.Net
C++
Java

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Eventual Consistency

Immediate 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

Durability

Support for making data persistent

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

token access

Access rights for users, groups and roles according to SQL-standard

authentification to access the cache via certificates or http basic authentication

Role based authorization

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