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DBMS > Alibaba Cloud Table Store vs. Bangdb vs. Cloudflare Workers KV vs. GridGain

System Properties Comparison Alibaba Cloud Table Store vs. Bangdb vs. Cloudflare Workers KV vs. GridGain

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelWide column storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.bangdb.comdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.html
DeveloperAlibabaSachin Sinha, BangDBCloudflareGridGain Systems, Inc.
Initial release2016201220182007
Current releaseBangDB 2.0, October 2021GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, C++, .Net
Server operating systemshostedLinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsHTTP APIProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJava
Python
C
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)
Triggersnoyes, Notifications (with Streaming only)noyes (cache interceptors and events)
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
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)yesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
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.noyes, run db with in-memory only modenoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyes (enterprise version only)Security Hooks for custom implementations

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More resources
Alibaba Cloud Table StoreBangdbCloudflare Workers KVGridGain
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