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DBMS > Amazon CloudSearch vs. Spark SQL vs. Sqrrl vs. Teradata Aster vs. Tibero

System Properties Comparison Amazon CloudSearch vs. Spark SQL vs. Sqrrl vs. Teradata Aster vs. Tibero

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonSpark SQL  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTibero  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.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudSpark SQL is a component on top of 'Spark Core' for structured data processingAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and typesA secure RDBMS, designed for easy portability from Oracle
Primary database modelSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteaws.amazon.com/­cloudsearchspark.apache.org/­sqlsqrrl.comus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.aws.amazon.com/­cloudsearchspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAmazonApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.TeradataTmaxSoft
Initial release20122014201220052003
Current release3.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial
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 languageScalaJavaC and Assembler
Server operating systemshostedLinux
OS X
Windows
LinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.noyes infoin Aster File Storeyes
Secondary indexesyes infoall search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsHTTP APIJDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJava
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoR packagesPersistent Stored Procedure (PSM)
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes, utilizing Spark CoreSharding infomaking use of HadoopShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneselectable replication factor infomaking use of Hadoopyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic updates per row, document, or graph entityACIDACID
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.nonono infoplanned for next version
User concepts infoAccess controlauthentication via encrypted signaturesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Amazon CloudSearchSpark SQLSqrrlTeradata AsterTibero
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