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DBMS > Amazon CloudSearch vs. EXASOL vs. GeoSpock vs. Google Cloud Bigtable vs. Microsoft SQL Server

System Properties Comparison Amazon CloudSearch vs. EXASOL vs. GeoSpock vs. Google Cloud Bigtable vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft SQL Server  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.Spatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsofts relational DBMS
Primary database modelSearch engineRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.08
Rank#86  Overall
#9  Search engines
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score0.12
Rank#272  Overall
#126  Relational DBMS
Score2.27
Rank#108  Overall
#7  Wide column stores
Score1093.75
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.exasol.com/­en/­productsgeospock.comcloud.google.com/­bigtablewww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.exasol.com/­en/­community/­resourcesdocs.geospock.com/­Content/­Home.htmcloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperAmazonExasolGeoSpockGoogleMicrosoft
Initial release2012200020151989
Current release2.0, September 2019SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++
Server operating systemshostedhostedhostedLinux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes
Secondary indexesyes infoall search fields are automatically indexedyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)noyes
APIs and other access methodsHTTP API.Net
JDBC
ODBC
WebSocket
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingAutomatic shardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSInternal replication in Colossus, and regional replication between two clusters in different zonesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic single-row operationsACID
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.yesnonoyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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Amazon CloudSearchEXASOLGeoSpockGoogle Cloud BigtableMicrosoft SQL Server
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