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DBMS > Datomic vs. eXtremeDB vs. GeoSpock vs. LokiJS vs. PouchDB

System Properties Comparison Datomic vs. eXtremeDB vs. GeoSpock vs. LokiJS vs. PouchDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.datomic.comwww.mcobject.comgeospock.comgithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmtechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperCognitectMcObjectGeoSpockApache Software Foundation
Initial release2012200120142012
Current release1.0.7075, December 20238.2, 20212.0, September 20197.1.1, June 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++Java, JavascriptJavaScriptJavaScript
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nono infosupport of XML interfaces availablenonono
Secondary indexesyesyestemporal, categoricalyes infovia viewsyes infovia views
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)nono
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCJavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScriptJavaScript
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesnoView functions in JavaScriptView functions in JavaScript
TriggersBy using transaction functionsyes infoby defining eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingAutomatic shardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backend
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 developmentyesnoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per tablenono
More information provided by the system vendor
DatomiceXtremeDBGeoSpockLokiJSPouchDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DatomiceXtremeDBGeoSpockLokiJSPouchDB
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