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DBMS > Citus vs. HarperDB vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. Tibero

System Properties Comparison Citus vs. HarperDB vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. Tibero

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering with high compatibility to Microsoft SQL ServerA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.citusdata.comwww.harperdb.iowww.hawkular.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.citusdata.comdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­azure-sqltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHarperDBCommunity supported by Red HatMicrosoftTmaxSoft
Initial release20102017201420102003
Current release8.1, December 20183.1, August 2021V126, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree community edition availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCNode.jsJavaC++C and Assembler
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesdynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonoyesyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like data manipulation statementsnoyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Custom Functions infosince release 3.1noTransact SQLPersistent Stored Procedure (PSM)
Triggersyesnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on Cassandrahorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrayes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
CitusHarperDBHawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzureTibero
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