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DBMS > Apache Kylin vs. Google Cloud Bigtable vs. Milvus vs. Sadas Engine

System Properties Comparison Apache Kylin vs. Google Cloud Bigtable vs. Milvus vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMilvus  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A DBMS designed for efficient storage of vector data and vector similarity searchesSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSKey-value store
Wide column store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.28
Rank#154  Overall
#74  Relational DBMS
Score4.26
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Score0.37
Rank#259  Overall
#17  Search engines
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitekylin.apache.orgcloud.google.com/­bigtablemilvus.iowww.sadasengine.com
Technical documentationkylin.apache.org/­docscloud.google.com/­bigtable/­docsmilvus.io/­docs/­overview.mdwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleSADAS s.r.l.
Initial release2015201520192006
Current release3.1.0, July 20202.0, January 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, GoC++
Server operating systemsLinuxhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoNumeric and Stringyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno
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.nononoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache KylinGoogle Cloud BigtableMilvusSadas Engine
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 scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more

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More resources
Apache KylinGoogle Cloud BigtableMilvusSadas Engine
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