DBMS > Milvus vs. Snowflake vs. Teradata Aster
System Properties Comparison Milvus vs. Snowflake vs. Teradata Aster
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|Editorial information provided by DB-Engines
|Milvus Xexclude from comparison
|Snowflake Xexclude from comparison
|Teradata Aster Xexclude from comparison
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
|A DBMS designed for efficient storage of vector data and vector similarity searches
|Cloud-based data warehousing service for structured and semi-structured data
|Platform for big data analytics on multistructured data sources and types
|Primary database model
|Snowflake Computing Inc.
|2.3.4, January 2024
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Zilliz Cloud – Cloud-native service for Milvus
|Server operating systems
macOS 10.14 or later
Windows with WSL 2 enabled
|yes support of semi-structured data formats (JSON, XML, Avro)
|Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store
|Typing predefined data types such as float or date
|Vector, Numeric and String
|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.
|yes in Aster File Store
|SQL Support of SQL
|APIs and other access methods
|RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions
|no similar concept for controling cloud resources
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes SQL Map-Reduce Framework
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Role based access control and fine grained access rights
|Users with fine-grained authorization concept, user roles and pluggable authentication
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Milvus is an open-source and cloud-native vector database built for production-ready...
|Highly available, versatile, and robust with millisecond latency. Supports batch...
|Typical application scenarios
|RAG: retrieval augmented generation Video media : video understanding, video deduplication....
|Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
|As of January 2024, 25k+ GitHub stars 10M+ downloads and installations 3k+ enterprise...
|Licensing and pricing models
|Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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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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