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DBMS > Apache Phoenix vs. Hawkular Metrics vs. Microsoft SQL Server vs. Tarantool

System Properties Comparison Apache Phoenix vs. Hawkular Metrics vs. Microsoft SQL Server vs. Tarantool

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsofts flagship relational DBMSIn-memory database with an integrated application server
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#94  Overall
#50  Relational DBMS
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Score944.81
Rank#3  Overall
#3  Relational DBMS
Score1.58
Rank#137  Overall
#25  Key-value stores
Websitephoenix.apache.orgwww.hawkular.orgwww.microsoft.com/­en-us/­sql-serverwww.tarantool.io
Technical documentationphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-US/­sql/­sql-serverwww.tarantool.io/­en/­doc
DeveloperApache Software FoundationCommunity supported by Red HatMicrosoftMail.ru Group
Initial release2014201419892008
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019SQL Server 2019, November 20192.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoBSD
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.
Implementation languageJavaJavaC++C and C++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
BSD
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesFull-featured ANSI SQL support
APIs and other access methodsJDBCHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Open binary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaLua, C and SQL stored procedures
Triggersnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardAccess rights for users and roles

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Apache PhoenixHawkular MetricsMicrosoft SQL ServerTarantool
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