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DBMS > Cloudflare Workers KV vs. Datomic vs. EJDB vs. Lovefield vs. Vitess

System Properties Comparison Cloudflare Workers KV vs. Datomic vs. EJDB vs. Lovefield vs. Vitess

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonLovefield  Xexclude from comparisonVitess  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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Embeddable relational database for web apps written in pure JavaScriptScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score0.31
Rank#296  Overall
#44  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comgithub.com/­Softmotions/­ejdbgoogle.github.io/­lovefieldvitess.io
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdvitess.io/­docs
DeveloperCloudflareCognitectSoftmotionsGoogleThe Linux Foundation, PlanetScale
Initial release20182012201220142013
Current release1.0.7075, December 20232.1.12, February 201715.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses 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, ClojureCJavaScriptGo
Server operating systemshostedAll OS with a Java VMserver-lessserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idyesyes
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.nonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensions
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIin-process shared libraryADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnonoyes infoproprietary syntax
TriggersnoBy using transaction functionsnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
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 developmentyes infousing MemoryDByes
User concepts infoAccess controlnononoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Cloudflare Workers KVDatomicEJDBLovefieldVitess
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