DBMS > Hypertable vs. Milvus vs. Quasardb
System Properties Comparison Hypertable vs. Milvus vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||Hypertable Xexclude from comparison||Milvus Xexclude from comparison||Quasardb Xexclude from comparison|
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.|
|Description||An open source BigTable implementation based on distributed file systems such as Hadoop||A DBMS designed for efficient storage of vector data and vector similarity searches||Distributed, high-performance timeseries database|
|Primary database model||Wide column store||Vector DBMS||Time Series DBMS|
|Current release||0.9.8.11, March 2016||2.2, November 2022||3.13.3, April 2022|
|License Commercial or Open Source||Open Source GNU version 3. Commercial license available||Open Source Apache Version 2.0||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Zilliz Cloud – Cloud-native service for Milvus|
|Implementation language||C++||C++, Go||C++|
|Server operating systems||Linux|
Windows an inofficial Windows port is available
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date||no||Vector, Numeric and String||yes integer and binary|
|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||no|
|Secondary indexes||restricted only exact value or prefix value scans||no||yes with tags|
|SQL Support of SQL||no||no||SQL-like query language|
|APIs and other access methods||C++ API|
|RESTful HTTP API||HTTP API|
|Supported programming languages||C++|
|Server-side scripts Stored procedures||no||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor on file system level||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||with Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Bounded Staleness|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode|
|User concepts Access control||no||no||Cryptographically strong user authentication and audit trail|
|More information provided by the system vendor|
|Specific characteristics||Milvus is an open-source and cloud-native vector database built for production-ready...|
|Competitive advantages||Highly available, versatile, and robust with millisecond latency. Supports batch...|
|Typical application scenarios||Video media : video understanding, video deduplication. E-commerce and mobile applications...|
|Key customers||Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...|
|Market metrics||As of February 2023, 14k+ GitHub stars 2M+ downloads and installations 1000+ 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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