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DBMS > Datomic vs. etcd vs. Immudb vs. InterSystems Caché vs. OrientDB

System Properties Comparison Datomic vs. etcd vs. Immudb vs. InterSystems Caché vs. OrientDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonetcd  Xexclude from comparisonImmudb  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOrientDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A multi-model DBMS and application serverMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value storeKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitewww.datomic.cometcd.io
github.com/­etcd-io/­etcd
github.com/­codenotary/­immudb
immudb.io
www.intersystems.com/­products/­cacheorientdb.org
Technical documentationdocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.immudb.iodocs.intersystems.comwww.orientdb.com/­docs/­last/­index.html
DeveloperCognitectCodenotaryInterSystemsOrientDB LTD; CallidusCloud; SAP
Initial release2012202019972010
Current release1.0.6735, June 20233.4, August 20191.2.3, April 20222018.1.4, May 20203.2.29, March 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoGoJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
BSD
Linux
macOS
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeschema-freedepending on used data modelschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like syntaxyesSQL-like query language, no joins
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
gRPC protocol
PostgreSQL wire protocol
.NET Client API
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnonoyesJava, Javascript
TriggersBy using transaction functionsyes, watching key changesnoyesHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlnonoAccess rights for users, groups and rolesAccess rights for users and roles; record level security configurable

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More resources
DatomicetcdImmudbInterSystems CachéOrientDB
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