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DBMS > Amazon Redshift vs. BoltDB vs. Postgres-XL vs. RocksDB vs. Solr

System Properties Comparison Amazon Redshift vs. BoltDB vs. Postgres-XL vs. RocksDB vs. Solr

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBoltDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn embedded key-value store for Go.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score0.76
Rank#224  Overall
#32  Key-value stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Score44.28
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­redshiftgithub.com/­boltdb/­boltwww.postgres-xl.orgrocksdb.orgsolr.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wikisolr.apache.org/­resources.html
DeveloperAmazon (based on PostgreSQL)Facebook, Inc.Apache Software Foundation
Initial release201220132014 infosince 2012, originally named StormDB20132006
Current release10 R1, October 20188.11.4, April 20249.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoCC++Java
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
macOS
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesnoyes 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.nonoyes infoXML type, but no XML query functionalitynoyes
Secondary indexesrestrictednoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infodistributed, parallel query executionnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCGo.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnouser defined functionsnoJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infoMVCCyesoptimistic locking
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.yesnonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardnoyes

More information provided by the system vendor

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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More resources
Amazon RedshiftBoltDBPostgres-XLRocksDBSolr
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