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DBMS > Amazon DocumentDB vs. EXASOL vs. Snowflake

System Properties Comparison Amazon DocumentDB vs. EXASOL vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#194  Overall
#27  Document stores
Score2.91
Rank#85  Overall
#44  Relational DBMS
Score2.27
Rank#103  Overall
#51  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.exasol.com/­en/­productswww.snowflake.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.exasol.com/­en/­community/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperExasolSnowflake Computing Inc.
Initial release201920002014
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).Net
WebSocket
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Lua
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DocumentDBEXASOLSnowflake
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