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DBMS > Amazon Redshift vs. Apache Solr vs. Firebird

System Properties Comparison Amazon Redshift vs. Apache Solr vs. Firebird

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Solr  Xexclude from comparisonFirebird  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA widely used distributed, scalable search engine based on Apache LuceneFirebird is an open source RDBMS forked from Borland's InterBase
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.70
Rank#36  Overall
#22  Relational DBMS
Score32.79
Rank#23  Overall
#3  Search engines
Score16.66
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­redshiftsolr.apache.orgwww.firebirdsql.org
Technical documentationdocs.aws.amazon.com/­redshiftsolr.apache.org/­resources.htmlwww.firebirdsql.org/­en/­reference-manuals
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationFirebird Foundation
Initial release201220062000 infoAs fork of Borland's InterBase
Current release9.6.1, May 20245.0.1, August 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoInitial Developer's Public License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes 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.noyes
Secondary indexesrestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava pluginsPSQL
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept

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Amazon RedshiftApache SolrFirebird
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