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DBMS > Firebird vs. Milvus vs. Rockset vs. Solr

System Properties Comparison Firebird vs. Milvus vs. Rockset vs. Solr

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSVector DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.firebirdsql.orgmilvus.iorockset.comsolr.apache.org
Technical documentationwww.firebirdsql.org/­en/­reference-manualsmilvus.io/­docs/­overview.mddocs.rockset.comsolr.apache.org/­resources.html
DeveloperFirebird FoundationRocksetApache Software Foundation
Initial release2000 infoAs fork of Borland's InterBase201920192006
Current release5.0.0, January 20242.4.4, May 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC and C++C++, GoC++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringdynamic typingyes 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.nono infoingestion from XML files supportedyes
Secondary indexesyesnoall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP APIHTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPSQLnonoJava plugins
Triggersyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
FirebirdMilvusRocksetSolr
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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FirebirdMilvusRocksetSolr
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