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DBMS > Cloudflare Workers KV vs. EDB Postgres vs. Hazelcast vs. Kinetica

System Properties Comparison Cloudflare Workers KV vs. EDB Postgres vs. Hazelcast vs. Kinetica

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A widely adopted in-memory data gridFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score1.86
Rank#131  Overall
#61  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.enterprisedb.comhazelcast.comwww.kinetica.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.enterprisedb.com/­docshazelcast.org/­imdg/­docsdocs.kinetica.com
DeveloperCloudflareEnterpriseDBHazelcastKinetica
Initial release2018200520082012
Current release14, December 20215.3.6, November 20237.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2; commercial licenses availablecommercial
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 languageCJavaC, C++
Server operating systemshostedLinux
Windows
All OS with a Java VMLinux
Data schemeschema-freeyesschema-freeyes
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.noyes infospecific XML-type available, but no XML query functionality.yes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoEvent Listeners, Executor Servicesuser defined functions
Triggersnoyesyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users and roles on table level

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More resources
Cloudflare Workers KVEDB PostgresHazelcastKinetica
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