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DBMS > Alibaba Cloud PolarDB vs. Bangdb vs. GridDB vs. ToroDB

System Properties Comparison Alibaba Cloud PolarDB vs. Bangdb vs. GridDB vs. ToroDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonBangdb  Xexclude from comparisonGridDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Converged and high performance database for device data, events, time series, document and graphScalable in-memory time series database optimized for IoT and Big DataA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSDocument store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­polardbbangdb.comgriddb.netgithub.com/­torodb/­server
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.bangdb.comdocs.griddb.net
DeveloperAlibabaSachin Sinha, BangDBToshiba Corporation8Kdata
Initial release201220132016
Current releaseBangDB 2.0, October 20215.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java
Server operating systemshostedLinuxLinuxAll OS with a Java 7 VM
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes infonumerical, string, blob, geometry, boolean, timestampyes infostring, integer, double, boolean, date, object_id
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.yesnonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLyesSQL like support with command line toolSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
C#
C++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersyesyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationSource-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 jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
Alibaba Cloud PolarDBBangdbGridDBToroDB
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
Factory 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 modelsSpecification and pricing. You can use either of the following billing methods to...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Alibaba Cloud PolarDBBangdbGridDBToroDB
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