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DBMS > Cloudflare Workers KV vs. CockroachDB vs. Google Cloud Datastore vs. JaguarDB

System Properties Comparison Cloudflare Workers KV vs. CockroachDB vs. Google Cloud Datastore vs. JaguarDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelKey-value storeRelational DBMSDocument storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.cockroachlabs.comcloud.google.com/­datastorewww.jaguardb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.cockroachlabs.com/­docscloud.google.com/­datastore/­docswww.jaguardb.com/­support.html
DeveloperCloudflareCockroach LabsGoogleDataJaguar, Inc.
Initial release2018201520082015
Current release23.1.1, May 20233.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ infothe server part. Clients available in other languages
Server operating systemshostedLinux
macOS
Windows
hostedLinux
Data schemeschema-freedynamic schemaschema-freeyes
Typing infopredefined data types such as float or datenoyesyes, details hereyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLSQL-like query language (GQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsHTTP REST
Proprietary protocol
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonousing Google App Engineno
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTMulti-source replication using PaxosMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accounts

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More resources
Cloudflare Workers KVCockroachDBGoogle Cloud DatastoreJaguarDB
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