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DBMS > Elasticsearch vs. MarkLogic vs. Snowflake

System Properties Comparison Elasticsearch vs. MarkLogic vs. Snowflake

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMarkLogic  Xexclude from comparisonSnowflake  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 metricOperational and transactional Enterprise NoSQL databaseCloud-based data warehousing service for structured and semi-structured data
Primary database modelSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score158.25
Rank#8  Overall
#1  Search engines
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score58.26
Rank#18  Overall
#12  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.marklogic.comwww.snowflake.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.marklogic.comdocs.snowflake.net/­manuals/­index.html
DeveloperElasticMarkLogic Corp.Snowflake Computing Inc.
Initial release201020012014
Current release7.8.0, June 20209.0, 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoSchema can be enforcedyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.noyesyes
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
CLI Client
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptuser defined functions
Triggersyes infoby using the 'percolation' featureyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID
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 integrationyes, with Range Indexesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ElasticsearchMarkLogicSnowflake
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
ElasticsearchMarkLogicSnowflake
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Recent citations in the news

Scaling Elasticsearch Percolation for Government Data | by Jake Sager | FiscalNoteworthy | Oct, 2021
22 October 2021, Medium

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