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DBMS > BigchainDB vs. GridDB vs. HBase vs. JanusGraph vs. Newts

System Properties Comparison BigchainDB vs. GridDB vs. HBase vs. JanusGraph vs. Newts

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGridDB  Xexclude from comparisonHBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable in-memory time series database optimized for IoT and Big DataWide-column store based on Apache Hadoop and on concepts of BigTableA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Time Series DBMS based on Cassandra
Primary database modelDocument storeTime Series DBMSWide column storeGraph DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.bigchaindb.comgriddb.nethbase.apache.orgjanusgraph.orgopennms.github.io/­newts
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.griddb.nethbase.apache.org/­book.htmldocs.janusgraph.orggithub.com/­OpenNMS/­newts/­wiki
DeveloperToshiba CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetLinux Foundation; originally developed as Titan by AureliusOpenNMS Group
Initial release20162013200820172014
Current release5.1, August 20222.3.4, January 20210.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++JavaJavaJava
Server operating systemsLinuxLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampoptions to bring your own types, AVROyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Java API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
yesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
BigchainDBGridDBHBaseJanusGraph infosuccessor of TitanNewts
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
BigchainDBGridDBHBaseJanusGraph infosuccessor of TitanNewts
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