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DBMS > AgensGraph vs. Firebolt vs. Solr vs. Ultipa

System Properties Comparison AgensGraph vs. Firebolt vs. Solr vs. Ultipa

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFirebolt  Xexclude from comparisonSolr  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA widely used distributed, scalable search engine based on Apache LuceneHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitebitnine.net/­agensgraphwww.firebolt.iosolr.apache.orgwww.ultipa.com
Technical documentationbitnine.net/­documentationdocs.firebolt.iosolr.apache.org/­resources.htmlwww.ultipa.com/­document
DeveloperBitnine Global Inc.Firebolt Analytics Inc.Apache Software FoundationUltipa
Initial release2016202020062019
Current release2.1, December 20189.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.noyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
.Net
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Go
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
AgensGraphFireboltSolrUltipa
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