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DBMS > HBase vs. Microsoft Azure SQL Database vs. Milvus vs. Sadas Engine

System Properties Comparison HBase vs. Microsoft Azure SQL Database vs. Milvus vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMilvus  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering with high compatibility to Microsoft SQL ServerA 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 modelWide column storeRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Websitehbase.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasemilvus.iowww.sadasengine.com
Technical documentationhbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlmilvus.io/­docs/­overview.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSADAS s.r.l.
Initial release2008201020192006
Current release2.3.4, January 2021V122.3.4, January 20248.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen 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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++C++, GoC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Linux
Windows
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesVector, Numeric 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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQLnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDno
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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HBaseMicrosoft Azure SQL Database infoformerly SQL AzureMilvusSadas 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 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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More resources
HBaseMicrosoft Azure SQL Database infoformerly SQL AzureMilvusSadas Engine
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