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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGridDB  Xexclude from comparisonHBase  Xexclude from comparisonNewts  Xexclude from comparisonopenGauss  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 BigTableTime Series DBMS based on CassandraAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument storeTime Series DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial 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
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.bigchaindb.comgriddb.nethbase.apache.orgopennms.github.io/­newtsgitee.com/­opengauss
opengauss.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.griddb.nethbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperToshiba CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS GroupHuawei and openGauss community
Initial release20162013200820142019
Current release5.1, August 20222.3.4, January 20213.0, March 2022
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
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++JavaJavaC, C++, Java
Server operating systemsLinuxLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nonoANSI SQL 2011
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
HTTP REST
Java API
JDBC
ODBC
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
JavaC
C++
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on Cassandrahorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyesAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BigchainDBGridDBHBaseNewtsopenGauss
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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BigchainDBGridDBHBaseNewtsopenGauss
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