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DBMS > BigObject vs. PouchDB vs. Realm vs. SiteWhere vs. Splice Machine

System Properties Comparison BigObject vs. PouchDB vs. Realm vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesJavaScript 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 DataM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitebigobject.iopouchdb.comrealm.iogithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationdocs.bigobject.iopouchdb.com/­guidesrealm.io/­docssitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperBigObject, Inc.Apache Software FoundationRealm, acquired by MongoDB in May 2019SiteWhereSplice Machine
Initial release20152012201420102014
Current release7.1.1, June 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourceOpen SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyes infovia viewsyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLuaView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmnoyes
User concepts infoAccess controlnonoyesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
BigObjectPouchDBRealmSiteWhereSplice Machine
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