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DBMS > AllegroGraph vs. ClickHouse vs. Cloudflare Workers KV

System Properties Comparison AllegroGraph vs. ClickHouse vs. Cloudflare Workers KV

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonClickHouse  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.72
Rank#216  Overall
#36  Document stores
#19  Graph DBMS
#8  RDF stores
#15  Vector DBMS
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score0.32
Rank#274  Overall
#40  Key-value stores
Websiteallegrograph.comclickhouse.comwww.cloudflare.com/­developer-platform/­workers-kv
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlclickhouse.com/­docsdevelopers.cloudflare.com/­kv/­api
DeveloperFranz Inc.Clickhouse Inc.Cloudflare
Initial release200420162018
Current release8.0, December 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
hosted
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.no infobulk load of XML files possiblenono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageClose to ANSI SQL (SQL/JSON + extensions)no
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP REST
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.
More information provided by the system vendor
AllegroGraphClickHouseCloudflare Workers KV
News

Bloor Research – Vector Database Report
8 April 2025

Beyond STIX: Next-Level Cyber-Threat Intelligence
27 March 2025

Powering GenAI Apps with Knowledge Graphs
19 March 2025

100 Companies that Matter – Franz Inc.
17 March 2025

Why Agentic AI Needs Neuro-Symbolic Knowledge Graphs for Enterprise Intelligence
3 March 2025

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphClickHouseCloudflare Workers KV
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