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

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

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteiotdb.apache.orgprometheus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestydb.tech/­en/­docs
DeveloperApache Software FoundationOpenSource, formerly Basho TechnologiesYandex
Initial release2018201520092019
Current release1.1.0, April 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoErlang
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
Linux
OS X
Linux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes
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.nono infoImport of XML data possiblenono
Secondary indexesyesnorestrictedyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (YQL)
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
Python
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoErlangno
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoby Federationselectable replication factorActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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 controlyesnoyes, using Riak SecurityAccess rights defined for Yandex Cloud users

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More resources
Apache IoTDBPrometheusRiak KVYDB
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