DBMS > Altibase vs. atoti vs. GeoMesa vs. IBM Cloudant

System Properties Comparison Altibase vs. atoti vs. GeoMesa vs. IBM Cloudant

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Database as a Service offering based on Apache CouchDB

Primary database model

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	2.75
Rank	#104	Overall
	#19	Document stores

Website

altibase.com

atoti.io

www.geomesa.org

www.ibm.com/products/cloudant

Technical documentation

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

docs.atoti.io

www.geomesa.org/documentation/stable/user/index.html

cloud.ibm.com/docs/Cloudant

Developer

Altibase

ActiveViam

CCRi and others

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Initial release

1999

2014

2010

Current release

v7.3, 2023, August 2023

5.0.0, May 2024

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

free versions available

Open Source

Apache License 2.0

commercial

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

C++

Java

Scala

Erlang

Server operating systems

AIX
HP-UX
Linux

hosted

Data scheme

yes

schema-free

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

yes

SQL

Support of SQL

ANSI SQL-92

Multidimensional Expressions (MDX)

APIs and other access methods

JDBC
ODBC
Proprietary protocol

RESTful HTTP/JSON API

Supported programming languages

C
C++
Java

C#
Java
JavaScript
Objective-C
PHP
Ruby

Server-side scripts

Stored procedures

stored procedures and stored functions

Python

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

depending on storage layer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on storage layer

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Optimistic locking

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

depending on storage layer

User concepts

Access control

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

Access rights for users can be defined per database

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More resources

DB-Engines blog posts

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