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DBMS > Cloudflare Workers KV vs. EsgynDB vs. Immudb vs. Netezza vs. Tigris

System Properties Comparison Cloudflare Workers KV vs. EsgynDB vs. Immudb vs. Netezza vs. Tigris

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEsgynDB  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTigris  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 TrafodionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMSDocument store
Key-value store
Search engine
Time Series 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzawww.tigrisdata.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.immudb.iowww.tigrisdata.com/­docs
DeveloperCloudflareEsgynCodenotaryIBMTigris Data, Inc.
Initial release20182015202020002022
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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 languageC++, JavaGo
Server operating systemshostedLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceLinux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like syntaxyesno
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
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-standardUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Cloudflare Workers KVEsgynDBImmudbNetezza infoAlso called PureData System for Analytics by IBMTigris
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