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DBMS > Datomic vs. Ehcache vs. Elasticsearch vs. Hypertable

System Properties Comparison Datomic vs. Ehcache vs. Elasticsearch vs. Hypertable

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonElasticsearch  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted Java cache with tiered storage optionsA 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 metricAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSKey-value storeSearch engineWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score132.83
Rank#7  Overall
#1  Search engines
Websitewww.datomic.comwww.ehcache.orgwww.elastic.co/­elasticsearch
Technical documentationdocs.datomic.comwww.ehcache.org/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperCognitectTerracotta Inc, owned by Software AGElasticHypertable Inc.
Initial release2012200920102009
Current release1.0.7075, December 20233.10.0, March 20228.6, January 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoElastic LicenseOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesnoyes infoAll search fields are automatically indexedrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJCacheJava API
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesClojure
Java
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesno
TriggersBy using transaction functionsyes infoCache Event Listenersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoby using Terracotta Serveryesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenono
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)yes infousing a tiered cache-storage approachyesyes
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 developmentyesMemcached and Redis integration
User concepts infoAccess controlnonono

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More resources
DatomicEhcacheElasticsearchHypertable
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