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DBMS > DataFS vs. Google Cloud Bigtable vs. ReductStore vs. Solr vs. TinkerGraph

System Properties Comparison DataFS vs. Google Cloud Bigtable vs. ReductStore vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonReductStore  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSKey-value store
Wide column store
Time Series DBMSSearch engineGraph DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitenewdatabase.comcloud.google.com/­bigtablegithub.com/­reductstore
www.reduct.store
solr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­bigtable/­docswww.reduct.store/­docssolr.apache.org/­resources.html
DeveloperMobiland AGGoogleReductStore LLCApache Software Foundation
Initial release20182015202320062009
Current release1.1.263, October 20221.9, March 20249.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License 1.1Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, RustJavaJava
Server operating systemsWindowshostedDocker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesnoyes 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.nonoyesno
Secondary indexesnonoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP APIJava API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresnoJava pluginsno
Triggersno, except callback-events from server when changes happenednoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyesnone
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 consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistencynone
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
DataFSGoogle Cloud BigtableReductStoreSolrTinkerGraph
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