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DBMS > RavenDB vs. Solr vs. SWC-DB vs. Transbase

System Properties Comparison RavenDB vs. Solr vs. SWC-DB vs. Transbase

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSolr  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA widely used distributed, scalable search engine based on Apache LuceneA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeSearch engineWide column storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.50
Rank#90  Overall
#16  Document stores
Score52.10
Rank#20  Overall
#3  Search engines
Score0.00
Rank#350  Overall
#13  Wide column stores
Score0.25
Rank#276  Overall
#128  Relational DBMS
Websiteravendb.netlucene.apache.org/­solrgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationravendb.net/­docslucene.apache.org/­solr/­resources.htmlwww.transaction.de/­en/­transbase-inside
DeveloperHibernating RhinosApache Software FoundationAlex KashirinTransaction Software GmbH
Initial release2010200620201987
Current release5.1, November 20208.8.2, April 20210.5, April 2021Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2Open Source infoGPL V3commercial infofree development license
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.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. HIPPA compliant. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageC#JavaC++C and C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or datenoyes 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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (RQL)Solr Parallel SQL InterfaceSQL-like query languageyes
APIs and other access methods.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesJava pluginsnoyes
Triggersyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMapReduce functions can be defined in Linqspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableoptimistic lockingyes
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.yesnono
User concepts infoAccess controlAccess control on document level using the Authorization Bundleyesfine grained access rights according to SQL-standard
More information provided by the system vendor
RavenDBSolrSWC-DB infoSuper Wide Column DatabaseTransbase
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
RavenDBSolrSWC-DB infoSuper Wide Column DatabaseTransbase
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