DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cloudflare Workers KV vs. Kinetica vs. TimescaleDB

System Properties Comparison Cloudflare Workers KV vs. Kinetica vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonKinetica  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Fully vectorized database across both GPUs and CPUsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#315  Overall
#43  Key-value stores
Score0.88
Rank#238  Overall
#111  Relational DBMS
Score5.39
Rank#79  Overall
#5  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.kinetica.comwww.timescale.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.kinetica.comdocs.timescale.com
DeveloperCloudflareKineticaTimescale
Initial release201820122017
Current release7.1, August 20212.11.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C
Server operating systemshostedLinuxLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelfine 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 KVKineticaTimescaleDB
Recent citations in the news

Cloudflare adds AI services as CTO says "a developer platform ...
16 May 2023, DevClass

Cloudflare Workers KV, a distributed native key-value store for Cloudflare Workers
1 October 2018, Packt Hub

Cloudflare Raises $1.25 Billion for Startups Using Its Workers Platform
28 September 2022, The New Stack

How Do You Distribute Your Database over Hundreds of Edge ...
10 February 2022, InfoQ.com

Cloudflare Previews Serverless Database D1 Adding Transactions
3 October 2022, InfoQ.com

provided by Google News

GPU Database Market Next Big Thing With Major Giants Kinetica, Omnisci, Sqream
20 September 2023, Benzinga

Location Data Profusion Driving Cutting-Edge Innovation
19 September 2023, Geospatial World

Executive Q&A: How Generative AI Is Changing How We Think ...
11 September 2023, TDWI

Global Analysis 2023-2031: GPU Database Market by Regional Segmentation, Growth Factor, Opportunities and
19 September 2023, Benzinga

GPU Database Market with Growth Factors till 2031
15 September 2023, Benzinga

provided by Google News

Visualizing IoT Data at Scale With Hopara and TimescaleDB
16 May 2023, Embedded Computing Design

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

New TDengine Benchmark Results Show Up to 37.0x Higher Query ...
28 February 2023, GlobeNewswire

Timescale Announces Corporate Rebrand Reflecting Company's ...
17 May 2023, PR Newswire

Timescale Valuation Rockets to Over $1B with $110M Round ...
22 February 2022, Business Wire

provided by Google News

Job opportunities

Rust Engineers (Multiple Openings) - Remote
Keyrock, Remote

Senior Backend Engineer (Data Platform)
thatgamecompany, Remote

Back End Engineer
American Standard, Lixil Americas, New York, NY

Mid or Senior Rust Backend Developer (Multiple openings - remote possible)
Keyrock, Remote

Data & Machine Learning Engineer
Hewlett Packard Enterprise, Spring, TX

jobs by Indeed



Share this page

Featured Products

Redis logo

The world’s most loved real‑time data platform.
Try free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

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

Present your product here