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DBMS > Apache IoTDB vs. Hive vs. LMDB vs. Prometheus vs. Riak KV

System Properties Comparison Apache IoTDB vs. Hive vs. LMDB vs. Prometheus vs. Riak KV

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHive  Xexclude from comparisonLMDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  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 Flinkdata warehouse software for querying and managing large distributed datasets, built on HadoopA high performant, light-weight, embedded key-value database libraryOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSRelational DBMSKey-value 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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteiotdb.apache.orghive.apache.orgwww.symas.com/­symas-embedded-database-lmdbprometheus.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.lmdb.tech/­docprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookSymasOpenSource, formerly Basho Technologies
Initial release20182012201120152009
Current release1.1.0, April 20233.1.3, April 20220.9.32, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open SourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCGoErlang
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
Unix
Windows
Linux
Windows
Linux
OS X
Data schemeyesyesschema-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 indexesyesyesnonorestricted
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.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 proceduresyesyes infouser defined functions and integration of map-reducenonoErlang
Triggersyesnononoyes 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)ShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factornoneyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesAccess rights for users, groups and rolesnonoyes, using Riak Security

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Apache IoTDBHiveLMDBPrometheusRiak KV
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