DBMS > FeatureBase vs. Milvus vs. TimescaleDB
System Properties Comparison FeatureBase vs. Milvus vs. TimescaleDB
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|Editorial information provided by DB-Engines
|FeatureBase Xexclude from comparison
|Milvus Xexclude from comparison
|TimescaleDB Xexclude from comparison
|Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
|A DBMS designed for efficient storage of vector data and vector similarity searches
|A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
|Primary database model
|Time Series DBMS
|Secondary database models
|Molecula and Pilosa Open Source Contributors
|2022, May 2022
|2.3.4, January 2024
|2.13.0, November 2023
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Open Source Apache 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
|Typing predefined data types such as float or date
|Vector, Numeric and String
|numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
|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.
|SQL Support of SQL
|yes full PostgreSQL SQL syntax
|APIs and other access methods
|RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
|Partitioning methods Methods for storing different data on different nodes
|yes, across time and space (hash partitioning) attributes
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication with hot standby and reads on replicas
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|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
|yes, using Linux fsync
|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
|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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