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DBMS > Bangdb vs. Databend vs. GridDB vs. Tibero

System Properties Comparison Bangdb vs. Databend vs. GridDB vs. Tibero

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabend  Xexclude from comparisonGridDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityScalable in-memory time series database optimized for IoT and Big DataA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitebangdb.comgithub.com/­datafuselabs/­databend
www.databend.com
griddb.netus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.bangdb.comdocs.databend.comdocs.griddb.nettechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperSachin Sinha, BangDBDatabend LabsToshiba CorporationTmaxSoft
Initial release2012202120132003
Current releaseBangDB 2.0, October 20211.0.59, April 20235.1, August 20226, April 2015
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++RustC++C and Assembler
Server operating systemsLinuxhosted
Linux
macOS
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoPersistent Stored Procedure (PSM)
Triggersyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneSource-replica replicationMulti-source replication
Source-replica replication
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 ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID 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 wellyesyesyes
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 modeyesno infoplanned for next version
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization concept, user rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
BangdbDatabendGridDBTibero
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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BangdbDatabendGridDBTibero
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