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DBMS > Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. Datomic vs. GridGain vs. InterSystems Caché

System Properties Comparison Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. Datomic vs. GridGain vs. InterSystems Caché

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteA multi-model DBMS and application server
Primary database modelWide column storeKey-value storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.gridgain.comwww.intersystems.com/­products/­cache
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.intersystems.com
DeveloperAlibabaCloudflareCognitectGridGain Systems, Inc.InterSystems
Initial release20162018201220071997
Current release1.0.7075, December 2023GridGain 8.5.12018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, C++, .Net
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyesyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHTTP APIHTTP REST
Proprietary protocol
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes
TriggersnonoBy using transaction functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone infoBut extensive use of caching in the application peersyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoSecurity Hooks for custom implementationsAccess rights for users, groups and roles

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More resources
Alibaba Cloud Table StoreCloudflare Workers KVDatomicGridGainInterSystems Caché
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