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DBMS > Apache Phoenix vs. EsgynDB vs. Microsoft SQL Server vs. YDB

System Properties Comparison Apache Phoenix vs. EsgynDB vs. Microsoft SQL Server vs. YDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMicrosofts flagship relational DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitephoenix.apache.orgwww.esgyn.cnwww.microsoft.com/­en-us/­sql-servergithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationphoenix.apache.orglearn.microsoft.com/­en-US/­sql/­sql-serverydb.tech/­en/­docs
DeveloperApache Software FoundationEsgynMicrosoftYandex
Initial release2014201519892019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like query language (YQL)
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes, but depending on the SQL-Server EditionActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Apache PhoenixEsgynDBMicrosoft SQL ServerYDB
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