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DBMS > Cloudflare Workers KV vs. FeatureBase vs. GridGain vs. Hazelcast

System Properties Comparison Cloudflare Workers KV vs. FeatureBase vs. GridGain vs. Hazelcast

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFeatureBase  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.GridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data grid
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.featurebase.comwww.gridgain.comhazelcast.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.featurebase.comwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docs
DeveloperCloudflareMolecula and Pilosa Open Source ContributorsGridGain Systems, Inc.Hazelcast
Initial release2018201720072008
Current release2022, May 2022GridGain 8.5.15.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJava
Server operating systemshostedLinux
macOS
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesyes infothe object must implement a serialization strategy
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL queriesANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Services
Triggersnonoyes (cache interceptors and events)yes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)yes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access control

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More resources
Cloudflare Workers KVFeatureBaseGridGainHazelcast
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