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DBMS > Bangdb vs. BigchainDB vs. GridDB vs. XTDB

System Properties Comparison Bangdb vs. BigchainDB vs. GridDB vs. XTDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable in-memory time series database optimized for IoT and Big DataA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSDocument store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebangdb.comwww.bigchaindb.comgriddb.netgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestdocs.griddb.netwww.xtdb.com/­docs
DeveloperSachin Sinha, BangDBToshiba CorporationJuxt Ltd.
Initial release2012201620132019
Current releaseBangDB 2.0, October 20215.1, August 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL v3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++PythonC++Clojure
Server operating systemsLinuxLinuxLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyes infonumerical, string, blob, geometry, boolean, timestampyes, extensible-data-notation format
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL92, SQL-like TQL (Toshiba Query Language)limited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnonono
Triggersyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)yesAccess rights for users can be defined per database
More information provided by the system vendor
BangdbBigchainDBGridDBXTDB infoformerly named Crux
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BangdbBigchainDBGridDBXTDB infoformerly named Crux
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