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DBMS > Amazon CloudSearch vs. Google BigQuery vs. SAP SQL Anywhere vs. Sqrrl

System Properties Comparison Amazon CloudSearch vs. Google BigQuery vs. SAP SQL Anywhere vs. Sqrrl

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSqrrl  Xexclude from comparison
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 cloudLarge scale data warehouse service with append-only tablesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcloud.google.com/­bigquerywww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqrrl.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcloud.google.com/­bigquery/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonGoogleSAP infoformerly SybaseAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201019922012
Current release17, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIADO.NET
HTTP API
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
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 proceduresnouser defined functions infoin JavaScriptyes, in C/C++, Java, .Net or Perlno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication infoDatabase mirroringselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon CloudSearchGoogle BigQuerySAP SQL Anywhere infoformerly called Adaptive Server AnywhereSqrrl
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