DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cloudflare Workers KV vs. Netezza vs. SQream DB vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Netezza vs. SQream DB vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQream DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Data warehouse and analytics appliance part of IBM PureSystemsa GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­netezzasqream.comtrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperCloudflareIBMSQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2018200020172014
Current release2022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemshostedLinux infoincluded in applianceLinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesuser defined functions in PythonJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Cloudflare Workers KVNetezza infoAlso called PureData System for Analytics by IBMSQream DBTrafodion
Recent citations in the news

Cloudflare updates Workers platform with Python support, event notifications, and improved local development ...
3 April 2024, DevClass

Cloudflare recovers from service outage after power failure at core North American data center
3 November 2023, DatacenterDynamics

Cloudflare dashboard, API service feeling poorly due to datacenter power snafu
2 November 2023, The Register

Cloudflare is (still) struggling with another outage - here's what to know
3 November 2023, ZDNet

Cloudflare services offline due to data centre power outages
3 November 2023, Techzine Europe

provided by Google News

Roundup: Telehouse, Cloudera, Netezza, EMC
31 May 2024, Data Center Knowledge

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services
21 August 2019, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

provided by Google News

I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, Fierce Network

SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
9 February 2024, insideBIGDATA

GPU data warehouse startup SQream lands $39.4M funding round
24 June 2020, SiliconANGLE News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

provided by Google News

SQL-on-Hadoop Database Trafodion Bridges Transactions and Analysis
24 January 2018, The New Stack

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

Low-latency, distributed database architectures are critical for emerging fog applications
16 July 2022, Embedded Computing Design

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here