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DBMS > 4D vs. Apache IoTDB vs. Percona Server for MySQL vs. Solr

System Properties Comparison 4D vs. Apache IoTDB vs. Percona Server for MySQL vs. Solr

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#109  Overall
#56  Relational DBMS
Score0.41
Rank#253  Overall
#21  Time Series DBMS
Score2.53
Rank#115  Overall
#58  Relational DBMS
Score55.78
Rank#20  Overall
#3  Search engines
Websitewww.4d.comiotdb.apache.orgwww.percona.com/­software/­mysql-database/­percona-serverlucene.apache.org/­solr
Technical documentationlivedoc.4d.comwww.percona.com/­downloads/­Percona-Server-LATESTlucene.apache.org/­solr/­resources.html
Developer4D, IncApache Software FoundationPerconaApache Software Foundation
Initial release1984201820082006
Current releasev18 R5, January 20218.0.28-20, 20229.0.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)LinuxAll 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.yesnoyesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageyesSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesyesJava plugins
Triggersyesyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
XtraDB Cluster
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
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.noyesyesyes
User concepts infoAccess controlUsers and groupsyesUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
4D infoformer name: 4th DimensionApache IoTDBPercona Server for MySQLSolr
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more

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More resources
4D infoformer name: 4th DimensionApache IoTDBPercona Server for MySQLSolr
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