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DBMS > AgensGraph vs. Oracle Rdb vs. Qdrant vs. Solr vs. Yanza

System Properties Comparison AgensGraph vs. Oracle Rdb vs. Qdrant vs. Solr vs. Yanza

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonOracle Rdb  Xexclude from comparisonQdrant  Xexclude from comparisonSolr  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high-performance vector database with neural network or semantic-based matchingA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSVector DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphwww.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­qdrant/­qdrant
qdrant.tech
solr.apache.orgyanza.com
Technical documentationbitnine.net/­documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlqdrant.tech/­documentationsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)QdrantApache Software FoundationYanza
Initial release20161984202120062015
Current release2.1, December 20187.4.1.1, 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustJava
Server operating systemsLinux
OS X
Windows
HP Open VMSDocker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes infosupports customizable data types and automatic typingno
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.nononoyesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesyesnoSolr Parallel SQL Interfaceno
APIs and other access methodsCypher Query Language
JDBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authenticationyesno

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More resources
AgensGraphOracle RdbQdrantSolrYanza
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