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DBMS > Datomic vs. EJDB vs. Lovefield vs. Oracle Coherence vs. Teradata Aster

System Properties Comparison Datomic vs. EJDB vs. Lovefield vs. Oracle Coherence vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Embeddable relational database for web apps written in pure JavaScriptOracles in-memory data grid solutionPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.datomic.comgithub.com/­Softmotions/­ejdbgoogle.github.io/­lovefieldwww.oracle.com/­java/­coherence
Technical documentationdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperCognitectSoftmotionsGoogleOracleTeradata
Initial release20122012201420072005
Current release1.0.6735, June 20232.1.12, February 201714.1, August 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPLv2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCJavaScriptJava
Server operating systemsAll OS with a Java VMserver-lessserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VMLinux
Data schemeyesschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsRESTful HTTP APIin-process shared libraryJCache
JPA
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaScript.Net
C++
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnononoR packages
TriggersBy using transaction functionsnoUsing read-only observersyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnonenoneyes, with selectable consistency levelyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infooptionallyyes
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 infousing MemoryDByesno
User concepts infoAccess controlnononoauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
DatomicEJDBLovefieldOracle CoherenceTeradata Aster
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