DBMS > Datomic vs. KairosDB vs. MaxDB vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. KairosDB vs. MaxDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines

Name

Description

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

Distributed Time Series DBMS based on Cassandra or H2

A robust and reliable RDBMS optimized to run all major SAP solutions

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

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

Score	1.76
Rank	#145	Overall
	#66	Relational DBMS

Score	0.71
Rank	#230	Overall
	#20	Time Series DBMS

Score	2.65
Rank	#111	Overall
	#55	Relational DBMS

Score	4.57
Rank	#78	Overall
	#43	Relational DBMS

Website

www.datomic.com

github.com/kairosdb/kairosdb

maxdb.sap.com

www.sap.com/products/technology-platform/sql-anywhere.html

Technical documentation

docs.datomic.com

kairosdb.github.io

maxdb.sap.com/documentation

help.sap.com/docs/SAP_SQL_Anywhere

Developer

Cognitect

SAP, acquired from Software AG (Adabas-D) in 1997

SAP

formerly Sybase

Initial release

2012

2013

1984

1992

Current release

1.0.6735, June 2023

1.2.2, November 2018

7.9.10.12, February 2024

17, July 2015

License

Commercial or Open Source

commercial

limited edition free

Open Source

Apache 2.0

commercial

Limited community edition free

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

Java, Clojure

Java

C++

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

Graphite protocol
HTTP REST
Telnet API

ADO.NET
JDBC
ODBC
WebDAV

ADO.NET
HTTP API
JDBC
ODBC

Supported programming languages

Clojure
Java

Java
JavaScript

Node.js
PHP
Python

.Net
C#
Java
Perl
PHP
Python

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

yes, in C/C++, Java, .Net or Perl

Triggers

By using transaction functions

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

selectable replication factor

based on Cassandra

Source-replica replication

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

recommended only for testing and development

yes

User concepts

Access control

simple password-based access control

fine grained access rights according to SQL-standard

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