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DBMS > 4D vs. Apache IoTDB vs. Snowflake vs. Solr vs. TimesTen

System Properties Comparison 4D vs. Apache IoTDB vs. Snowflake vs. Solr vs. TimesTen

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkCloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#100  Overall
#53  Relational DBMS
Score0.38
Rank#254  Overall
#20  Time Series DBMS
Score71.03
Rank#17  Overall
#11  Relational DBMS
Score57.72
Rank#20  Overall
#3  Search engines
Score1.81
Rank#129  Overall
#64  Relational DBMS
Websitewww.4d.comiotdb.apache.orgwww.snowflake.comlucene.apache.org/­solrwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationlivedoc.4d.comdocs.snowflake.net/­manuals/­index.htmllucene.apache.org/­solr/­resources.htmldocs.oracle.com/­database/­timesten-18.1
Developer4D, IncApache Software FoundationSnowflake Computing Inc.Apache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19842018201420061998
Current releasev18 R5, January 20218.11.0, November 202111 Release 2 (11.2.2.8.0)
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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
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)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes 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.yesnoyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageyesSolr Parallel SQL Interfaceyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCCLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnouser defined functionsJava pluginsPL/SQL
Triggersyesnono infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency with synchronizing with the cloudImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlUsers and groupsnoUsers with fine-grained authorization concept, user roles and pluggable authenticationyesfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache IoTDBSnowflakeSolrTimesTen
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