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DBMS > eXtremeDB vs. Firebase Realtime Database vs. Linter vs. OpenSearch

System Properties Comparison eXtremeDB vs. Firebase Realtime Database vs. Linter vs. OpenSearch

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLinter  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS for high security requirementsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Websitewww.mcobject.comfirebase.google.com/­products/­realtime-databaselinter.rugithub.com/­opensearch-project
opensearch.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­databaseopensearch.org/­docs/­latest
DeveloperMcObjectGoogle infoacquired by Google 2014relex.ruAmazon Web Services
Initial release2001201219902021
Current release8.2, 20212.5.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC and C++C and C++Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM
Data schemeyesschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoyesSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript
Objective-C
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyes infoby defining eventsCallbacks are triggered when data changesyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBFirebase Realtime DatabaseLinterOpenSearch
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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eXtremeDBFirebase Realtime DatabaseLinterOpenSearch
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