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DBMS > Apache IoTDB vs. Cassandra vs. Prometheus vs. Riak KV

System Properties Comparison Apache IoTDB vs. Cassandra vs. Prometheus vs. Riak KV

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCassandra  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOpen-source TimeSeries DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSWide column storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#293  Overall
#24  Time Series DBMS
Score118.99
Rank#10  Overall
#1  Wide column stores
Score6.43
Rank#60  Overall
#3  Time Series DBMS
Score5.59
Rank#66  Overall
#8  Key-value stores
Websiteiotdb.apache.orgcassandra.apache.orgprometheus.ioriak.com/­products/­riak-kv
Technical documentationcassandra.apache.org/­doc/­latestprometheus.io/­docs
DeveloperApache Software FoundationApache Software Foundation infoApache top level project, originally developped by FacebookBasho Technologies
Initial release2018200820152009
Current release4.0, July 20212.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
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.
Implementation languageJavaJavaGoErlang
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionnorestricted
SQL infoSupport of SQLSQL-like query languageSQL-like SELECT, DML and DDL statements (CQL)nono
APIs and other access methodsJDBCProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnononoJavaScript and Erlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
noneEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsnono
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.yesnono
User concepts infoAccess controlnoAccess rights for users can be defined per objectnono
More information provided by the system vendor
Apache IoTDBCassandraPrometheusRiak KV
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more

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3rd partiesInstaclustr: Hosted & Managed Apache Cassandra as a Service
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DataStax Enterprise: Apache Cassandra for enterprises.
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More resources
Apache IoTDBCassandraPrometheusRiak KV
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Recent citations in the news

Apache IoTDB now a Top-Level Project at ASF
23 September 2020, SDTimes.com

The Apache Software Foundation Announces Apache® IoTDB™ as
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