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DBMS > Amazon CloudSearch vs. EXASOL vs. GridGain vs. Snowflake

System Properties Comparison Amazon CloudSearch vs. EXASOL vs. GridGain vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteCloud-based data warehousing service for structured and semi-structured data
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#110  Overall
#10  Search engines
Score3.40
Rank#88  Overall
#45  Relational DBMS
Score2.27
Rank#113  Overall
#23  Key-value stores
#55  Relational DBMS
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.exasol.com/­en/­productswww.gridgain.comwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.exasol.com/­en/­community/­resourceswww.gridgain.com/­docs/­latestdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonExasolGridGain Systems, Inc.Snowflake Computing Inc.
Initial release2012200020072014
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net
Server operating systemshostedLinux
OS X
Solaris
Windows
hosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.noyesyes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
CLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyesyes (cache interceptors and events)no infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsUsers with fine-grained authorization concept, user roles and pluggable authentication

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