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DBMS > BigchainDB vs. GeoMesa vs. IBM Db2 warehouse

System Properties Comparison BigchainDB vs. GeoMesa vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud-based data warehousing service
Primary database modelDocument storeSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.geomesa.orgwww.ibm.com/­products/­db2/­warehouse
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCCRi and othersIBM
Initial release201620142014
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonScala
Server operating systemsLinuxhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoPL/SQL, SQL PL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes
User concepts infoAccess controlyesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
BigchainDBGeoMesaIBM Db2 warehouse infoformerly named IBM dashDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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