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DBMS > 4D vs. Apache IoTDB vs. Google Cloud Firestore vs. Solr vs. SpaceTime

System Properties Comparison 4D vs. Apache IoTDB vs. Google Cloud Firestore vs. Solr vs. SpaceTime

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  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 FlinkCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A widely used distributed, scalable search engine based on Apache LuceneSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSTime Series DBMSDocument storeSearch engineSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitewww.4d.comiotdb.apache.orgfirebase.google.com/­products/­firestoresolr.apache.orgwww.mireo.com/­spacetime
Technical documentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­firestoresolr.apache.org/­resources.html
Developer4D, IncApache Software FoundationGoogleApache Software FoundationMireo
Initial release19842018201720062020
Current releasev20, April 20231.1.0, April 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.yesnonoyesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenoSolr Parallel SQL InterfaceA subset of ANSI SQL is implemented
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Python
Server-side scripts infoStored proceduresyesyesyes, Firebase Rules & Cloud FunctionsJava pluginsno
Triggersyesyesyes, with Cloud Functionsyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkUsing Cloud Dataflowspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesoptimistic lockingno
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.noyesyesno
User concepts infoAccess controlUsers and groupsyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yesyes

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4D infoformer name: 4th DimensionApache IoTDBGoogle Cloud FirestoreSolrSpaceTime
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