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DBMS > Cloudflare Workers KV vs. InterSystems Caché vs. LeanXcale vs. Postgres-XL vs. VelocityDB

System Properties Comparison Cloudflare Workers KV vs. InterSystems Caché vs. LeanXcale vs. Postgres-XL vs. VelocityDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLeanXcale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore 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.A multi-model DBMS and application serverA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument 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
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.intersystems.com/­products/­cachewww.leanxcale.comwww.postgres-xl.orgvelocitydb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.intersystems.comwww.postgres-xl.org/­documentationvelocitydb.com/­UserGuide
DeveloperCloudflareInterSystemsLeanXcaleVelocityDB Inc
Initial release2018199720152014 infosince 2012, originally named StormDB2011
Current release2018.1.4, May 202010 R1, October 20187.x
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Any that supports .NET
Data schemeschema-freedepending on used data modelyesyesyes
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.noyesyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infothrough Apache Derbyyes infodistributed, parallel query executionno
APIs and other access methodsHTTP REST
Proprietary protocol
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
C
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Server-side scripts infoStored proceduresnoyesuser defined functionsno
TriggersnoyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Cloudflare Workers KVInterSystems CachéLeanXcalePostgres-XLVelocityDB
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