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DBMS > IRONdb vs. LMDB vs. PouchDB vs. Realm vs. Splice Machine

System Properties Comparison IRONdb vs. LMDB vs. PouchDB vs. Realm vs. Splice Machine

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonLMDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performant, light-weight, embedded key-value database libraryJavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value storeDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Score2.63
Rank#115  Overall
#21  Key-value stores
Score3.48
Rank#98  Overall
#20  Document stores
Score9.31
Rank#52  Overall
#10  Document stores
Score0.92
Rank#191  Overall
#91  Relational DBMS
Websitewww.circonus.com/­solutions/­time-series-databasewww.symas.com/­symas-embedded-database-lmdbpouchdb.comrealm.iosplicemachine.com
Technical documentationdocs.circonus.com/­irondbpouchdb.com/­guidesrealm.io/­docsdoc.splicemachine.com
DeveloperCirconus LLC.SymasApache Software FoundationRealm, acquired by MongoDB in May 2019Splice Machine
Initial release20172011201220142014
Current releaseV0.10.20, January 20180.9.29, March 20217.1.1, June 20193.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CJavaScriptJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnoyesyes
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.nononono
Secondary indexesnonoyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nononoyes
APIs and other access methodsHTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
CJavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, in LuanoView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnonoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding infowith a proxy-based framework, named couchdb-loungenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoIn-Memory realmyes
User concepts infoAccess controlnononoyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
IRONdbLMDBPouchDBRealmSplice Machine
Specific characteristicsNow a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsRealm database is licensed under the Apache License v2.0.
» more
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IRONdbLMDBPouchDBRealmSplice Machine
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