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DBMS > Cloudflare Workers KV vs. EsgynDB vs. Microsoft Azure AI Search vs. Netezza

System Properties Comparison Cloudflare Workers KV vs. EsgynDB vs. Microsoft Azure AI Search vs. Netezza

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezza
Technical documentationdevelopers.cloudflare.com/­kv/­apilearn.microsoft.com/­en-us/­azure/­search
DeveloperCloudflareEsgynMicrosoftIBM
Initial release2018201520152000
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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 languageC++, Java
Server operating systemshostedLinuxhostedLinux infoincluded in appliance
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationUsers with fine-grained authorization concept

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Cloudflare Workers KVEsgynDBMicrosoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBM
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