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DBMS > Cloudflare Workers KV vs. Datomic vs. GridGain vs. InterSystems Caché vs. Qdrant

System Properties Comparison Cloudflare Workers KV vs. Datomic vs. GridGain vs. InterSystems Caché vs. Qdrant

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQdrant  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 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 serverA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.gridgain.comwww.intersystems.com/­products/­cachegithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.intersystems.comqdrant.tech/­documentation
DeveloperCloudflareCognitectGridGain Systems, Inc.InterSystemsQdrant
Initial release20182012200719972021
Current release1.0.7075, December 2023GridGain 8.5.12018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, C++, .NetRust
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesdepending on used data modelschema-free
Typing infopredefined data types such as float or datenoyesyesyesNumbers, Strings, Geo, Boolean
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.nonoyesyesno
Secondary indexesnoyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHTTP 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
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes
TriggersnoBy using transaction functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes (replicated cache)Source-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess rights for users, groups and rolesKey-based authentication

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More resources
Cloudflare Workers KVDatomicGridGainInterSystems CachéQdrant
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