DBMS > Hypertable vs. Oracle Coherence vs. PouchDB vs. SpaceTime

System Properties Comparison Hypertable vs. Oracle Coherence vs. PouchDB vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

An open source BigTable implementation based on distributed file systems such as Hadoop

Oracles in-memory data grid solution

JavaScript DBMS with an API inspired by CouchDB

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Secondary database models

Relational DBMS

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

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

Score	2.28
Rank	#115	Overall
	#21	Document stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

www.oracle.com/java/coherence

pouchdb.com

www.mireo.com/spacetime

Technical documentation

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

pouchdb.com/guides

Developer

Hypertable Inc.

Oracle

Apache Software Foundation

Mireo

Initial release

2009

2007

2012

2020

Current release

0.9.8.11, March 2016

14.1, August 2023

7.1.1, June 2019

License

Commercial or Open Source

Open Source

GNU version 3. Commercial license available

commercial

Open Source

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

C++

Java

JavaScript

C++

Server operating systems

Linux
OS X
Windows

an inofficial Windows port is available

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

restricted

only exact value or prefix value scans

yes

via views

SQL

Support of SQL

A subset of ANSI SQL is implemented

APIs and other access methods

C++ API
Thrift

JCache
JPA
RESTful HTTP API

HTTP REST

only for PouchDB Server
JavaScript API

RESTful HTTP API

Supported programming languages

C++
Java
Perl
PHP
Python
Ruby

.Net
C++
Java

JavaScript

C#
C++
Python

Server-side scripts

Stored procedures

View functions in JavaScript

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

yes, with selectable consistency level

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate 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

optionally

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

authentification to access the cache via certificates or http basic authentication

yes

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