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DBMS > Cloudflare Workers KV vs. DuckDB vs. Vertica

System Properties Comparison Cloudflare Workers KV vs. DuckDB vs. Vertica

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDuckDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.An embeddable, in-process, column-oriented SQL OLAP RDBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value storeRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#281  Overall
#40  Key-value stores
Score7.39
Rank#44  Overall
#28  Relational DBMS
Score9.85
Rank#42  Overall
#26  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvduckdb.orgwww.vertica.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiduckdb.org/­docsvertica.com/­documentation
DeveloperCloudflareOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201820182005
Current release1.0.0, June 202412.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedserver-lessLinux
Data schemeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP REST
Proprietary protocol
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Cloudflare Workers KVDuckDBVertica infoOpenText™ Vertica™
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We made Workers KV up to 3x faster — here’s the data
26 September 2024, The Cloudflare Blog

Skip the setup: deploy a Workers application in seconds
8 April 2025, The Cloudflare Blog

Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
26 September 2024, The Cloudflare Blog

Durable Objects aren't just durable, they're fast: a 10x speedup for Cloudflare Queues
24 October 2024, The Cloudflare Blog

Hardening Workers KV
2 August 2023, The Cloudflare Blog

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