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DBMS > Amazon Redshift vs. Databricks vs. Snowflake

System Properties Comparison Amazon Redshift vs. Databricks vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score168.09
Rank#6  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.databricks.comwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comdocs.snowflake.net/­manuals/­index.html
DeveloperAmazon (based on PostgreSQL)DatabricksSnowflake Computing Inc.
Initial release201220132014
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes
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 indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesuser defined functions
Triggersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon RedshiftDatabricksSnowflake
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Integrate ThoughtSpot with Amazon Redshift using AWS IAM Identity Center
10 April 2025, Amazon Web Services

Amazon Redshift enhances security by changing default behavior in 2025
30 January 2025, Amazon Web Services

Enhance Agentforce data security with Private Connect for Salesforce Data Cloud and Amazon Redshift – Part 3
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Recap of Amazon Redshift key product announcements in 2024
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7 April 2025, Anthropic

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18 April 2025, SiliconANGLE

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13 March 2025, PR Newswire

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