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DBMS > Apache IoTDB vs. GeoMesa vs. Graph Engine vs. Solr

System Properties Comparison Apache IoTDB vs. GeoMesa vs. Graph Engine vs. Solr

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 FlinkGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSSpatial DBMSGraph DBMS
Key-value store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Websiteiotdb.apache.orgwww.geomesa.orgwww.graphengine.iosolr.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.graphengine.io/­docs/­manualsolr.apache.org/­resources.html
DeveloperApache Software FoundationCCRi and othersMicrosoftApache Software Foundation
Initial release2018201420102006
Current release1.1.0, April 20235.0.0, May 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0Open Source infoMIT LicenseOpen 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 languageJavaScala.NET and CJava
Server operating systemsAll OS with a Java VM (>= 1.8).NETAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenonoSolr Parallel SQL Interface
APIs and other access methodsJDBC
Native API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyesJava 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)depending on storage layerhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesspark-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
depending on storage layerEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesyes
User concepts infoAccess controlyesyes infodepending on the DBMS used for storageyes

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More resources
Apache IoTDBGeoMesaGraph Engine infoformer name: TrinitySolr
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