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DBMS > Cloudflare Workers KV vs. Lovefield vs. Oracle Berkeley DB vs. PostGIS vs. Yaacomo

System Properties Comparison Cloudflare Workers KV vs. Lovefield vs. Oracle Berkeley DB vs. PostGIS vs. Yaacomo

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostGIS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable relational database for web apps written in pure JavaScriptWidely used in-process key-value storeSpatial extension of PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpostgis.netyaacomo.com
Technical documentationdevelopers.cloudflare.com/­kv/­apigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpostgis.net/­documentation
DeveloperCloudflareGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleQ2WEB GmbH
Initial release20182014199420052009
Current release2.1.12, February 201718.1.40, May 20203.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoGPL v2.0commercial
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 languageJavaScriptC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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 infoonly with the Berkeley DB XML editionyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infoSQL interfaced based on SQLite is availableyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaScript.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnononouser defined functions
TriggersnoUsing read-only observersyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infobased on PostgreSQLhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes infobased on PostgreSQLSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesnoyes
User concepts infoAccess controlnonoyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVLovefieldOracle Berkeley DBPostGISYaacomo
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