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DBMS > Apache IoTDB vs. FeatureBase vs. Solr vs. SWC-DB

System Properties Comparison Apache IoTDB vs. FeatureBase vs. Solr vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonSolr  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 FlinkReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A widely used distributed, scalable search engine based on Apache LuceneA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSSearch engineWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteiotdb.apache.orgwww.featurebase.comsolr.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.featurebase.comsolr.apache.org/­resources.html
DeveloperApache Software FoundationMolecula and Pilosa Open Source ContributorsApache Software FoundationAlex Kashirin
Initial release2018201720062020
Current release1.1.0, April 20232022, May 20229.6.1, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyesno
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL queriesSolr Parallel SQL InterfaceSQL-like query language
APIs and other access methodsJDBC
Native API
gRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlyesyes

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More resources
Apache IoTDBFeatureBaseSolrSWC-DB infoSuper Wide Column Database
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