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DBMS > ClickHouse vs. Cloudflare Workers KV vs. IBM Db2 Event Store

System Properties Comparison ClickHouse vs. Cloudflare Workers KV vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionA 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSKey-value storeEvent Store
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score0.32
Rank#274  Overall
#40  Key-value stores
Score0.20
Rank#312  Overall
#2  Event Stores
#26  Time Series DBMS
Websiteclickhouse.comwww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­db2-event-store
Technical documentationclickhouse.com/­docsdevelopers.cloudflare.com/­kv/­apiwww.ibm.com/­docs/­en/­db2-event-store
DeveloperClickhouse Inc.CloudflareIBM
Initial release201620182017
Current releasev24.6.2.17-stable, July 20242.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++
Server operating systemsFreeBSD
Linux
macOS
hostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnono
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noyes infothrough the embedded Spark runtime
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP REST
Proprietary protocol
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC# 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
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeskey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess 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.fine grained access rights according to SQL-standard

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ClickHouseCloudflare Workers KVIBM Db2 Event Store
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