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DBMS > RisingWave vs. Solr vs. Stardog vs. VelocityDB

System Properties Comparison RisingWave vs. Solr vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
NameRisingWave  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.risingwave.com/­databasesolr.apache.orgwww.stardog.comvelocitydb.com
Technical documentationdocs.risingwave.com/­docs/­current/­introsolr.apache.org/­resources.htmldocs.stardog.comvelocitydb.com/­UserGuide
DeveloperRisingWave LabsApache Software FoundationStardog-UnionVelocityDB Inc
Initial release2022200620102011
Current release1.2, September 20239.6.1, May 20247.3.0, May 20207.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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.
Implementation languageRustJavaJavaC#
Server operating systemsDocker
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Any that supports .NET
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateStandard SQL-types and JSONyes infosupports customizable data types and automatic typingyesyes
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.noyesno infoImport/export of XML data possibleno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
PostgreSQL wire protocol
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresUDFs in Python or JavaJava pluginsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infoUser configurable commands triggered on index changesyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyesyes
User concepts infoAccess controlUsers and RolesyesAccess rights for users and rolesBased on Windows Authentication

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More resources
RisingWaveSolrStardogVelocityDB
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