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DBMS > Elasticsearch vs. Ignite vs. MarkLogic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Elasticsearch vs. Ignite vs. MarkLogic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIgnite  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 metricApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Operational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelSearch engineKey-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.elastic.co/­elasticsearchignite.apache.orgwww.marklogic.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapacheignite.readme.io/­docsdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperElasticApache Software FoundationMarkLogic Corp.Microsoft
Initial release2010201520012016
Current release8.6, January 2023Apache Ignite 2.611.0, December 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
hosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free infoSchema can be enforcedyes
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.noyesyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infoSQL92yes
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infovia XQuery or JavaScriptTransact SQL
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)yes 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, with Range Indexes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access control at the document and subdocument levelsyes

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More resources
ElasticsearchIgniteMarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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