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DBMS > Amazon Aurora vs. Drizzle vs. Solr vs. Sqrrl vs. YottaDB

System Properties Comparison Amazon Aurora vs. Drizzle vs. Solr vs. Sqrrl vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonYottaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsDocument storeSpatial DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­rds/­aurorasolr.apache.orgsqrrl.comyottadb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlsolr.apache.org/­resources.htmlyottadb.com/­resources/­documentation
DeveloperAmazonDrizzle project, originally started by Brian AkerApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.YottaDB, LLC
Initial release20152008200620122001
Current release7.2.4, September 20129.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxDocker
Linux
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesno
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.yesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsSolr Parallel SQL Interfacenoby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnoJava pluginsno
Triggersyesno infohooks for callbacks inside the server can be used.yes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingAtomic updates per row, document, or graph entityoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users and groups based on OS-security mechanisms

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More resources
Amazon AuroraDrizzleSolrSqrrlYottaDB
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