DBMS > Hyprcubd vs. JSqlDb vs. Oracle Coherence

System Properties Comparison Hyprcubd vs. JSqlDb vs. Oracle Coherence

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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.

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

Description

Serverless Time Series DBMS

JavaScript Query Language Database, stores JavaScript objects and primitives

Oracles in-memory data grid solution

Primary database model

Time Series DBMS

Document store
Object oriented DBMS

Key-value store

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

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

hyprcubd.com (offline)

jsqldb.org (offline)

www.oracle.com/java/coherence

Technical documentation

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

Developer

Hyprcubd, Inc.

Konrad von Backstrom

Oracle

Initial release

2018

2007

Current release

0.8, December 2018

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Linux
macOS
Windows

All OS with a Java VM

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

gRPC (https)

JCache
JPA
RESTful HTTP API

Supported programming languages

JavaScript

.Net
C++
Java

Server-side scripts

Stored procedures

functions in JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

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