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DBMS > BigchainDB vs. Cubrid vs. Ehcache vs. GeoMesa vs. Riak KV

System Properties Comparison BigchainDB vs. Cubrid vs. Ehcache vs. GeoMesa vs. Riak KV

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCubrid  Xexclude from comparisonEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely adopted Java cache with tiered storage optionsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value store
Primary database modelDocument storeRelational DBMSKey-value storeSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#211  Overall
#34  Document stores
Score1.22
Rank#163  Overall
#78  Relational DBMS
Score6.87
Rank#62  Overall
#7  Key-value stores
Score0.80
Rank#200  Overall
#4  Spatial DBMS
Score6.25
Rank#69  Overall
#10  Key-value stores
Websitewww.bigchaindb.comcubrid.com (korean)
cubrid.org (english)
www.ehcache.orgwww.geomesa.orgriak.com/­products/­riak-kv
Technical documentationbigchaindb.readthedocs.io/­en/­latestcubrid.org/­manualswww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationTerracotta Inc, owned by Software AGCCRi and othersBasho Technologies
Initial release20162008200920142009
Current release11.0, January 20213.10.0, March 20223.2.0, April 20212.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC, C++, JavaJavaScalaErlang
Server operating systemsLinuxLinux
Windows
All OS with a Java VMLinux
OS X
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nonononono
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JCacheHTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored ProceduresnonoJavaScript and Erlang
Triggersyesyes infoCache Event Listenersnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoby using Terracotta Serverdepending on storage layerSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby using Terracotta Serverdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)depending on storage layerEventual Consistency
Foreign keys infoReferential integritynoyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layer
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnoyes infodepending on the DBMS used for storageno

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More resources
BigchainDBCubridEhcacheGeoMesaRiak KV
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