DBMS > Datomic vs. Snowflake vs. Warp 10
System Properties Comparison Datomic vs. Snowflake vs. Warp 10
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|Editorial information provided by DB-Engines|
|Name||Datomic Xexclude from comparison||Snowflake Xexclude from comparison||Warp 10 Xexclude from comparison|
|Description||Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability||Cloud-based data warehousing service for structured and semi-structured data||TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase|
|Primary database model||Relational DBMS||Relational DBMS||Time Series DBMS|
|Developer||Cognitect||Snowflake Computing Inc.||SenX|
|Current release||1.0.6735, June 2023|
|License Commercial or Open Source||commercial limited edition free||commercial||Open Source Apache License 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Implementation language||Java, Clojure||Java|
|Server operating systems||All OS with a Java VM||hosted||Linux|
|Data scheme||yes||yes support of semi-structured data formats (JSON, XML, Avro)||schema-free|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||no||yes||no|
|APIs and other access methods||RESTful HTTP API||CLI Client|
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||yes Transaction Functions||user defined functions||yes WarpScript|
|Triggers||By using transaction functions||no similar concept for controling cloud resources||no|
|Partitioning methods Methods for storing different data on different nodes||none But extensive use of caching in the application peers||yes||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||none But extensive use of caching in the application peers||yes||selectable replication factor based on HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency based on HBase|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes recommended only for testing and development||no||yes|
|User concepts Access control||no||Users with fine-grained authorization concept, user roles and pluggable authentication||Mandatory use of cryptographic tokens, containing fine-grained authorizations|
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|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year
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Senior Data Engineer
SENIOR DATA ENGINEER (SNOWFLAKE / MICROSOFT)
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