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DBMS > Amazon CloudSearch vs. Databend vs. EXASOL vs. Google BigQuery vs. Snowflake

System Properties Comparison Amazon CloudSearch vs. Databend vs. EXASOL vs. Google BigQuery vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabend  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesCloud-based data warehousing service for structured and semi-structured data
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­datafuselabs/­databend
www.databend.com
www.exasol.comcloud.google.com/­bigquerywww.snowflake.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databend.comwww.exasol.com/­resourcescloud.google.com/­bigquery/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonDatabend LabsExasolGoogleSnowflake Computing Inc.
Initial release20122021200020102014
Current release1.0.59, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemshostedhosted
Linux
macOS
hostedhosted
Data schemeyesyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nononoyes
Secondary indexesyes infoall search fields are automatically indexednoyesno
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsHTTP APICLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APICLI Client
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functions infoin JavaScriptuser defined functions
Triggersnonoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno infoSince BigQuery is designed for querying dataACID
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.yesnono
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon CloudSearchDatabendEXASOLGoogle BigQuerySnowflake
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