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DBMS > Elasticsearch vs. FatDB vs. Kdb vs. RDFox

System Properties Comparison Elasticsearch vs. FatDB vs. Kdb vs. RDFox

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonKdb  Xexclude from comparisonRDFox  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA 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 metricA .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance Time Series DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelSearch engineDocument store
Key-value store
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitewww.elastic.co/­elasticsearchkx.comwww.oxfordsemantic.tech
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcode.kx.comdocs.oxfordsemantic.tech
DeveloperElasticFatCloudKx Systems, a division of First Derivatives plcOxford Semantic Technologies
Initial release201020122000 infokdb was released 2000, kdb+ in 20032017
Current release8.6, January 20233.6, May 20186.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial infofree 32-bit versioncommercial
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 languageJavaC#qC++
Server operating systemsAll OS with a Java VMWindowsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL ServerSQL-like query language (q)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
Java
Server-side scripts infoStored proceduresyesyes infovia applicationsuser defined functions
Triggersyes infoby using the 'percolation' featureyes infovia applicationsyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsrights management via user accountsRoles, resources, and access types
More information provided by the system vendor
ElasticsearchFatDBKdbRDFox
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
ElasticsearchFatDBKdbRDFox
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