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DBMS > Alibaba Cloud Table Store vs. Bangdb vs. Ehcache vs. GridDB

System Properties Comparison Alibaba Cloud Table Store vs. Bangdb vs. Ehcache vs. GridDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsScalable in-memory time series database optimized for IoT and Big Data
Primary database modelWide column storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMS
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storebangdb.comwww.ehcache.orggriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.bangdb.comwww.ehcache.org/­documentationdocs.griddb.net
DeveloperAlibabaSachin Sinha, BangDBTerracotta Inc, owned by Software AGToshiba Corporation
Initial release2016201220092013
Current releaseBangDB 2.0, October 20213.10.0, March 20225.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++
Server operating systemshostedLinuxAll OS with a Java VMLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes infonumerical, string, blob, geometry, boolean, timestamp
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP APIProprietary protocol
RESTful HTTP API
JCacheJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
C#
C++
Java
Python
JavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnoyes, Notifications (with Streaming only)yes infoCache Event Listenersyes
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 algorithmSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector 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 accordinglyTunable Consistency (Strong, Eventual, Weak)Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDyes infosupports JTA and can work as an XA resourceACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyes (enterprise version only)noAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud Table StoreBangdbEhcacheGridDB
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
Alibaba Cloud Table StoreBangdbEhcacheGridDB
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