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DBMS > Elasticsearch vs. Spark SQL vs. Stardog

System Properties Comparison Elasticsearch vs. Spark SQL vs. Stardog

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparison
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 metricSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelSearch engineRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.40
Rank#7  Overall
#1  Search engines
Score16.14
Rank#35  Overall
#21  Relational DBMS
Score0.76
Rank#170  Overall
#13  Graph DBMS
#7  RDF stores
Websitewww.elastic.co/­products/­elasticsearchspark.apache.org/­sqlwww.stardog.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.stardog.com/­docs
DeveloperElasticApache Software FoundationStardog-Union
Initial release201020142010
Current release7.3.0, August 2019v2.4.4, September 20196.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaScalaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyes infoAll search fields are automatically indexednoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSPARQL is used as query language
APIs and other access methodsJava API
RESTful HTTP/JSON 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
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoby using the 'percolation' featurenoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
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 in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
ElasticsearchSpark SQLStardog
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenarios
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customers
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchSpark SQLStardog
DB-Engines blog posts

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2 January 2018, Paul Andlinger, Matthias Gelbmann

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Recent citations in the news

Flippin' ECK, ours is the 'official' Elasticsearch experience for Kubernetes – Elastic
24 October 2019, The Register

How to get started with Kibana
13 November 2019, InfoWorld

Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that
14 November 2019, ZDNet

Elasticsearch Service Now Available on Google Cloud Marketplace
22 October 2019, Business Wire

What's the point: Azure ships Repos app, final EAP for latest TeamCity, Elasticsearch, and Istio
23 October 2019, DevClass

provided by Google News

SQL Server 2019 reaches general availability
4 November 2019, ZDNet

Azure Synapse Analytics combines data warehouse, lake and pipelines
4 November 2019, ZDNet

Databricks introduces MLflow Model Registry, brings Delta Lake to Linux Foundation
16 October 2019, ZDNet

Delta Lake Project Raises Linux Foundation Flag
17 October 2019, SDxCentral

Databricks Bags Bricks of Cash in $400M Series F
23 October 2019, SDxCentral

provided by Google News

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