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DBMS > Cassandra vs. Hawkular Metrics vs. InfluxDB vs. KairosDB

System Properties Comparison Cassandra vs. Hawkular Metrics vs. InfluxDB vs. KairosDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for storing time series, events and metricsDistributed Time Series DBMS based on Cassandra or H2
Primary database modelWide column storeTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.89
Rank#12  Overall
#1  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitecassandra.apache.orgwww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­kairosdb/­kairosdb
Technical documentationcassandra.apache.org/­doc/­latestwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbkairosdb.github.io
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookCommunity supported by Red Hat
Initial release2008201420132013
Current release4.1.3, July 20232.7.6, April 20241.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaGoJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.nononono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnonono
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HTTP RESTHTTP API
JSON over UDP
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononono
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infobased on CassandraSharding infoin enterprise version onlySharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlyselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users can be defined per objectnosimple rights management via user accountssimple password-based access control
More information provided by the system vendor
CassandraHawkular MetricsInfluxDBKairosDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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InfluxData is the creator of InfluxDB , the open source time series database. It...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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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...
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IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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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...
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