DBMS > HBase vs. Oracle Coherence vs. ReductStore vs. STSdb

System Properties Comparison HBase vs. Oracle Coherence vs. ReductStore vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Oracles in-memory data grid solution

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

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

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

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

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Website

hbase.apache.org

www.oracle.com/java/coherence

github.com/reductstore
www.reduct.store

github.com/STSSoft/STSdb4

Technical documentation

hbase.apache.org/book.html

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

www.reduct.store/docs

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Oracle

ReductStore LLC

STS Soft SC

Initial release

2008

2007

2023

2011

Current release

2.3.4, January 2021

14.1, August 2023

1.9, March 2024

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

Business Source License 1.1

Open Source

GPLv2, commercial license available

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

C++, Rust

Server operating systems

Linux
Unix
Windows

using Cygwin

All OS with a Java VM

Docker
Linux
macOS
Windows

Windows

Data scheme

schema-free, schema definition possible

schema-free

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes

primitive types and user defined types (classes)

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

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JCache
JPA
RESTful HTTP API

HTTP API

.NET Client API

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

.Net
C++
Java

C++
JavaScript (Node.js)
Python
Rust

C#
Java

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Single row ACID (across millions of columns)

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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