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DBMS > Elasticsearch vs. Kinetica vs. Spark SQL vs. Stardog vs. TempoIQ

System Properties Comparison Elasticsearch vs. Kinetica vs. Spark SQL vs. Stardog vs. TempoIQ

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines 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 metricFully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelSearch engineRelational DBMSRelational DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.elastic.co/­elasticsearchwww.kinetica.comspark.apache.org/­sqlwww.stardog.comtempoiq.com (offline)
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperElasticKineticaApache Software FoundationStardog-UnionTempoIQ
Initial release20102012201420102012
Current release8.6, January 20237.1, August 20213.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ScalaJava
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infovia event handlersyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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, allImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infoGPU vRAM or System RAMnoyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users and rolessimple authentication-based access control

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More resources
ElasticsearchKineticaSpark SQLStardogTempoIQ infoformerly TempoDB
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