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DBMS > Apache Kylin vs. DataFS vs. Hypertable vs. Milvus

System Properties Comparison Apache Kylin vs. DataFS vs. Hypertable vs. Milvus

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDataFS  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSObject oriented DBMSWide column storeVector DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitekylin.apache.orgnewdatabase.commilvus.io
Technical documentationkylin.apache.org/­docsdev.mobiland.com/­Overview.xspmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation, originally contributed from eBay IncMobiland AGHypertable Inc.
Initial release2015201820092019
Current release3.1.0, July 20201.1.263, October 20220.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++C++, Go
Server operating systemsLinuxWindowsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and String
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.nonono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
C++ API
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlWindows-ProfilenoRole based access control and fine grained access rights
More information provided by the system vendor
Apache KylinDataFSHypertableMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Apache KylinDataFSHypertableMilvus
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