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DBMS > Cloudflare Workers KV vs. InterSystems Caché vs. Microsoft Access vs. Splice Machine vs. Sqrrl

System Properties Comparison Cloudflare Workers KV vs. InterSystems Caché vs. Microsoft Access vs. Splice Machine vs. Sqrrl

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been 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 serverMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.comsqrrl.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.intersystems.comdeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperCloudflareInterSystemsMicrosoftSplice MachineAmazon infooriginally Sqrrl Data, Inc.
Initial release20181997199220142012
Current release2018.1.4, May 20201902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardyesno
APIs and other access methodsHTTP REST
Proprietary protocol
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineyes infoJavano
Triggersnoyesyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Cloudflare Workers KVInterSystems CachéMicrosoft AccessSplice MachineSqrrl
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