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DBMS > Elasticsearch vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Table Storage vs. Warp 10

System Properties Comparison Elasticsearch vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Table Storage vs. Warp 10

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWarp 10  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 metricCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score3.55
Rank#80  Overall
#6  Wide column stores
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasewww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­storage/­tableswww.warp10.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­databasewww.progress.com/­marklogic/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperElasticGoogle infoacquired by Google 2014MarkLogic Corp.MicrosoftSenX
Initial release20102012200120122015
Current release8.6, January 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial inforestricted free version is availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free infoSchema can be enforcedschema-freeschema-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.nonoyesnono
Secondary indexesyes infoAll search fields are automatically indexedyesyesnono
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL92nono
APIs and other access methodsJava API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP 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
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infovia XQuery or JavaScriptnoyes infoWarpScript
Triggersyes infoby using the 'percolation' featureCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
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 infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingno
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, with Range Indexesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
ElasticsearchFirebase Realtime DatabaseMarkLogicMicrosoft Azure Table StorageWarp 10
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Progress MarkLogic World
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