DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cachelot.io vs. Cassandra vs. ClickHouse vs. Derby vs. InfluxDB

System Properties Comparison Cachelot.io vs. Cassandra vs. ClickHouse vs. Derby vs. InfluxDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCassandra  Xexclude from comparisonClickHouse  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionIn-memory caching systemWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.DBMS for storing time series, events and metrics
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Time Series DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score98.83
Rank#12  Overall
#1  Wide column stores
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Websitecachelot.iocassandra.apache.orgclickhouse.comdb.apache.org/­derbywww.influxdata.com/­products/­influxdb-overview
Technical documentationcassandra.apache.org/­doc/­latestclickhouse.com/­docsdb.apache.org/­derby/­manuals/­index.htmldocs.influxdata.com/­influxdb
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookClickhouse Inc.Apache Software Foundation
Initial release20152008201619972013
Current release4.1.3, July 2023v24.4.1.2088-stable, May 202410.17.1.0, November 20232.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache version 2Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageC++JavaC++JavaGo
Server operating systemsFreeBSD
Linux
OS X
BSD
Linux
OS X
Windows
FreeBSD
Linux
macOS
All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesNumeric data and Strings
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.nononoyesno
Secondary indexesnorestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)Close to ANSI SQL (SQL/JSON + extensions)yesSQL-like query language
APIs and other access methodsMemcached protocolProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBCHTTP API
JSON over UDP
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
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
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyesJava Stored Proceduresno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"key based and customnoneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-replica replicationselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infoDepending on used storage engine
User concepts infoAccess controlnoAccess rights for users can be defined per objectAccess 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-standardsimple rights management via user accounts
More information provided by the system vendor
Cachelot.ioCassandraClickHouseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBInfluxDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Open source core with closed source clustering available either on-premise or on...
» more
News

Introducing Tejas Kumar, Developer Relations Engineer
7 June 2024

Indexing All of Wikipedia on a Laptop
5 June 2024

An Introduction to Phil Nash, Developer Relations
3 June 2024

Focus on Creativity, Not Clusters: DataStax Mission Control in Action!
30 May 2024

How Concide Built its Chat Platform with Enhanced Document Management for Legal Tech Professionals
23 May 2024

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6 June 2024

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
5 June 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 2024

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Cassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
» more
DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

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

More resources
Cachelot.ioCassandraClickHouseDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBInfluxDB
DB-Engines blog posts

Cassandra keeps climbing the ranks of the DB-Engines Ranking
3 May 2016, Matthias Gelbmann

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Here's What to Know About Apache Cassandra 5.0
15 April 2024, hackernoon.com

Cassandra is the “best f*cking database for gen AI,” says DataStax CEO
13 December 2023, VentureBeat

Microsoft extends life support for aging Apache Cassandra 3.11 database
10 October 2023, The Register

How Zalando migrated their shopping carts to Amazon DynamoDB from Apache Cassandra | Amazon Web Services
11 October 2023, AWS Blog

Microsoft Build 2024: Cosmos DB for NoSQL gets vector search
21 May 2024, InfoWorld

provided by Google News

Intel Xeon 6766E/6780E Sierra Forest vs. Ampere Altra Performance & Power Efficiency Review
5 June 2024, Phoronix

Why Clickhouse Should Be Your Next Database
6 July 2023, The New Stack

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ...
28 November 2023, AWS Blog

A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
1 November 2023, GrowthCap

From Open Source to SaaS: the Journey of ClickHouse
16 January 2024, InfoQ.com

provided by Google News

JDBC tutorial: Easy installation and setup with Apache Derby
20 December 2019, TheServerSide.com

Installing Apache Hive 3.1.2 on Windows 10 | by Hadi Fadlallah
3 May 2020, Towards Data Science

The Arrival of Java 20
21 March 2023, Oracle

The Apache® Software Foundation Announces 18 Years of Open Source Leadership
28 March 2017, GlobeNewswire

No, Citrix did not kill CloudStack
15 September 2014, InfoWorld

provided by Google News

Amazon Timestream for InfluxDB is now generally available
15 March 2024, AWS Blog

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

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

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