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DBMS > DataFS vs. EsgynDB vs. FeatureBase vs. Solr vs. TimescaleDB

System Properties Comparison DataFS vs. EsgynDB vs. FeatureBase vs. Solr vs. TimescaleDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonSolr  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsGraph DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#362  Overall
#17  Object oriented DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.26
Rank#304  Overall
#138  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitenewdatabase.comwww.esgyn.cnwww.featurebase.comsolr.apache.orgwww.timescale.com
Technical documentationdev.mobiland.com/­Overview.xspdocs.featurebase.comsolr.apache.org/­resources.htmldocs.timescale.com
DeveloperMobiland AGEsgynMolecula and Pilosa Open Source ContributorsApache Software FoundationTimescale
Initial release20182015201720062017
Current release1.1.263, October 20222022, May 20229.5.0, February 20242.13.0, November 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGoJavaC
Server operating systemsWindowsLinuxLinux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes 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 typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyesyes
Secondary indexesnoyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL queriesSolr Parallel SQL Interfaceyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
VB.Net
All languages supporting JDBC/ODBC/ADO.NetJava
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored ProceduresJava pluginsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersno, except callback-events from server when changes happenednonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
DataFSEsgynDBFeatureBaseSolrTimescaleDB
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