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DBMS > Datomic vs. Memcached vs. OrientDB vs. Solr

System Properties Comparison Datomic vs. Memcached vs. OrientDB vs. Solr

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMemcached  Xexclude from comparisonOrientDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory key-value store, originally intended for cachingMulti-model DBMS (Document, Graph, Key/Value)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.datomic.comwww.memcached.orgorientdb.orgsolr.apache.org
Technical documentationdocs.datomic.comgithub.com/­memcached/­memcached/­wikiwww.orientdb.com/­docs/­last/­index.htmlsolr.apache.org/­resources.html
DeveloperCognitectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOrientDB LTD; CallidusCloud; SAPApache Software Foundation
Initial release2012200320102006
Current release1.0.6735, June 20231.6.27, May 20243.2.29, March 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSD licenseOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCJavaJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
All OS with a Java JDK (>= JDK 6)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language, no joinsSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIProprietary protocolTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoJava, JavascriptJava plugins
TriggersBy using transaction functionsnoHooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)noyesyes
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 developmentyes
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and roles; record level security configurableyes

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