DBMS > Altibase vs. Apache Phoenix vs. OpenSearch vs. STSdb vs. WakandaDB

System Properties Comparison Altibase vs. Apache Phoenix vs. OpenSearch vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

A scale-out RDBMS with evolutionary schema built on Apache HBase

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Secondary database models

Vector DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	2.06
Rank	#123	Overall
	#58	Relational DBMS

Score	16.03
Rank	#37	Overall
	#4	Search engines

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

Score	0.10
Rank	#356	Overall
	#16	Object oriented DBMS

Website

altibase.com

phoenix.apache.org

github.com/opensearch-project
opensearch.org

github.com/STSSoft/STSdb4

wakanda.github.io

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

phoenix.apache.org

opensearch.org/docs/latest

wakanda.github.io/doc

Developer

Altibase

Apache Software Foundation

Amazon Web Services

STS Soft SC

Wakanda SAS

Initial release

1999

2014

2021

2011

2012

Current release

v7.3, 2023, August 2023

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

2.5.0, January 2023

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

GPLv2, commercial license available

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Java

C++, JavaScript

Server operating systems

AIX
HP-UX
Linux

Linux
Unix
Windows

All OS with a Java VM

Windows

Linux
OS X
Windows

Data scheme

yes

late-bound, schema-on-read capabilities

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

yes

All search fields are automatically indexed

SQL

Support of SQL

ANSI SQL-92

yes

SQL-like query language

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC

Java API
RESTful HTTP/JSON API

.NET Client API

RESTful HTTP API

Supported programming languages

C
C++
Java

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C#
Java

JavaScript

Server-side scripts

Stored procedures

stored procedures and stored functions

user defined functions

yes

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

fine grained access rights according to SQL-standard

Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

yes

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more

Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more

Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
» more

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