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DBMS > Amazon CloudSearch vs. Drizzle vs. Hive vs. NuoDB vs. Sqrrl

System Properties Comparison Amazon CloudSearch vs. Drizzle vs. Hive vs. NuoDB vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  Xexclude from comparisonNuoDB  Xexclude from comparisonSqrrl  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.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­cloudsearchhive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasesqrrl.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.com
DeveloperAmazonDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20122008201220132012
Current release7.2.4, September 20123.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2commercial infolimited edition freecommercial
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 languageC++JavaC++Java
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP APIJDBCJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceJava, SQLno
Triggersnono infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
selectable replication factoryes infoManaged transparently by NuoDBselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infotunable commit protocolAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.yes infoTemporary table
User concepts infoAccess controlauthentication via encrypted signaturesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative UsersCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Amazon CloudSearchDrizzleHiveNuoDBSqrrl
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