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DBMS > Cloudflare Workers KV vs. Datomic vs. PostgreSQL vs. Snowflake

System Properties Comparison Cloudflare Workers KV vs. Datomic vs. PostgreSQL vs. Snowflake

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparison
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 durabilityWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.postgresql.orgwww.snowflake.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperCloudflareCognitectPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.
Initial release201820121989 info1989: Postgres, 1996: PostgreSQL2014
Current release1.0.6735, June 202316.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC
Server operating systemshostedAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
TriggersnoBy using transaction functionsyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peerspartitioning by range, list and (since PostgreSQL 11) by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes inforecommended only for testing and developmentnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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