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DBMS > Microsoft Azure Cosmos DB vs. Snowflake vs. Splice Machine

System Properties Comparison Microsoft Azure Cosmos DB vs. Snowflake vs. Splice Machine

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.55
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Score168.09
Rank#6  Overall
#5  Relational DBMS
Score0.54
Rank#242  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.snowflake.comsplicemachine.com
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperMicrosoftSnowflake Computing Inc.Splice Machine
Initial release201420142014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes
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.yes
Secondary indexesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptuser defined functionsyes infoJava
TriggersJavaScriptno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlAccess rights can be defined down to the item levelUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBSnowflakeSplice Machine
DB-Engines blog posts

Snowflake is the Database Management System of the Year 2024
16 January 2025, Tom Russell

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

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Recent citations in the news

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft Azure

Microsoft Announces General Availability of Data API Builder for Azure Cosmos DB
6 July 2024, infoq.com

Microsoft’s new DocumentDB rethinks NoSQL on PostgreSQL
30 January 2025, InfoWorld

Share.Market redefines the investment experience with Microsoft Azure
13 September 2024, Microsoft

Building Planet-Scale .NET Apps with Azure Cosmos DB
4 June 2024, Visual Studio Magazine

provided by Google News

Snowflake for Applications & Collaboration | AI Data Cloud
10 April 2025, Snowflake

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17 April 2025, VentureBeat

IBM Buys Snowflake-Focused Data, AI Consultancy Hakkoda
7 April 2025, CRN Magazine

Meet the SnowConvert Migration Assistant: Your Key to Faster, AI-Powered Data Warehouse Modernization
17 April 2025, Snowflake

Powered by Snowflake | Snowflake AI Data Cloud
9 April 2025, Snowflake

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Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, theregister.com

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Splice Machine SQL Database Scales On Hadoop
22 September 2023, Information Week

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