DBMS > Datomic vs. InterSystems Caché vs. jBASE vs. OrigoDB vs. SAP HANA

System Properties Comparison Datomic vs. InterSystems Caché vs. jBASE vs. OrigoDB vs. SAP HANA

Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

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

A multi-model DBMS and application server

A robust multi-value DBMS comprising development tools and middleware

A fully ACID in-memory object graph database

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Multivalue DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

Document store

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	1.59
Rank	#150	Overall
	#69	Relational DBMS

Score	1.41
Rank	#159	Overall
	#3	Multivalue DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Website

www.datomic.com

www.intersystems.com/products/cache

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

origodb.com

www.sap.com/products/hana.html

Technical documentation

docs.datomic.com

docs.intersystems.com

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

origodb.com/docs

help.sap.com/hana

Developer

Cognitect

InterSystems

Rocket Software (formerly Zumasys)

Robert Friberg et al

SAP

Initial release

2012

1997

1991

2009

under the name LiveDB

2010

Current release

1.0.6735, June 2023

2018.1.4, May 2020

5.7

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Clojure

Server operating systems

All OS with a Java VM

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

AIX
Linux
Windows

Linux
Windows

Appliance or cloud-service

Data scheme

yes

depending on used data model

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

RESTful HTTP API

.NET Client API
JDBC
ODBC
RESTful HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

.NET Client API
HTTP API
LINQ

JDBC
ODBC

Supported programming languages

Clojure
Java

C#
C++
Java

.Net
Basic
Jabbascript
Java

.Net

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

SQLScript, R

Triggers

By using transaction functions

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

none

Sharding

horizontal partitioning

client side managed; servers are not synchronized

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

Source-replica replication

yes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

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

Write ahead log

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

Access rights for users, groups and roles

Access rights can be defined down to the item level

Role based authorization

yes

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