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DBMS > Datomic vs. Elasticsearch vs. Firebase Realtime Database vs. Hypertable vs. TempoIQ

System Properties Comparison Datomic vs. Elasticsearch vs. Firebase Realtime Database vs. Hypertable vs. TempoIQ

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as HadoopScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSSearch engineDocument storeWide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score14.29
Rank#39  Overall
#6  Document stores
Websitewww.datomic.comwww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasetempoiq.com (offline)
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­database
DeveloperCognitectElasticGoogle infoacquired by Google 2014Hypertable Inc.TempoIQ
Initial release20122010201220092012
Current release1.0.6735, June 20238.6, January 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoElastic LicensecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like query languagenonono
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
HTTP API
Supported programming languagesClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyeslimited functionality with using 'rules'nono
TriggersBy using transaction functionsyes infoby using the 'percolation' featureCallbacks are triggered when data changesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnono
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 developmentMemcached and Redis integrationno
User concepts infoAccess controlnoyes, based on authentication and database rulesnosimple authentication-based access control

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More resources
DatomicElasticsearchFirebase Realtime DatabaseHypertableTempoIQ infoformerly TempoDB
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