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DBMS > BigObject vs. GeoMesa vs. Realm vs. Tkrzw

System Properties Comparison BigObject vs. GeoMesa vs. Realm vs. Tkrzw

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeoMesa  Xexclude from comparisonRealm  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSpatial DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitebigobject.iowww.geomesa.orgrealm.iodbmx.net/­tkrzw
Technical documentationdocs.bigobject.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlrealm.io/­docs
DeveloperBigObject, Inc.CCRi and othersRealm, acquired by MongoDB in May 2019Mikio Hirabayashi
Initial release2015201420142020
Current release4.0.5, February 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache License 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Backend: server-less
iOS
Windows
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresLuanono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnonoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
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.yesdepending on storage layeryes infoIn-Memory realmyes infousing specific database classes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyesno

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More resources
BigObjectGeoMesaRealmTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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