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DBMS > Apache IoTDB vs. Graphite vs. HarperDB vs. Solr

System Properties Comparison Apache IoTDB vs. Graphite vs. HarperDB vs. Solr

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGraphite  Xexclude from comparisonHarperDB  Xexclude from comparisonSolr  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 logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSTime Series DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websiteiotdb.apache.orggithub.com/­graphite-project/­graphite-webwww.harperdb.iosolr.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgraphite.readthedocs.iodocs.harperdb.io/­docssolr.apache.org/­resources.html
DeveloperApache Software FoundationChris DavisHarperDBApache Software Foundation
Initial release2018200620172006
Current release1.1.0, April 20233.1, August 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonNode.jsJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesdynamic schemayes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infoJSON data typesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoSQL-like data manipulation statementsSolr Parallel SQL Interface
APIs and other access methodsJDBC
Native API
HTTP API
Sockets
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1Java plugins
Triggersyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesnoAccess rights for users and rolesyes

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Apache IoTDBGraphiteHarperDBSolr
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