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

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMemgraph  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 serverAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Graph 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
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.gridgain.comwww.intersystems.com/­products/­cachememgraph.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.intersystems.commemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCloudflareCognitectGridGain Systems, Inc.InterSystemsMemgraph Ltd
Initial release20182012200719972017
Current release1.0.7075, December 2023GridGain 8.5.12018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoBSL 1.1; commercial license for enterprise edition available
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++, .NetC and C++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesdepending on used data modelschema-free and schema-optional
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyes
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
Bolt protocol
Cypher query language
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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 infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes (replicated cache)Source-replica replicationMulti-source replication using RAFT
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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 rolesUsers, roles and permissions
More information provided by the system vendor
Cloudflare Workers KVDatomicGridGainInterSystems CachéMemgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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Cloudflare Workers KVDatomicGridGainInterSystems CachéMemgraph
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