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DBMS > Hawkular Metrics vs. Informix vs. Microsoft SQL Server vs. Tarantool

System Properties Comparison Hawkular Metrics vs. Informix vs. Microsoft SQL Server vs. Tarantool

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataMicrosofts flagship relational DBMSIn-memory database with an integrated application server
Primary database modelTime Series DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document 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
Score0.03
Rank#332  Overall
#32  Time Series DBMS
Score22.95
Rank#33  Overall
#19  Relational DBMS
Score944.81
Rank#3  Overall
#3  Relational DBMS
Score1.58
Rank#137  Overall
#25  Key-value stores
Websitewww.hawkular.orgwww.ibm.com/­products/­informixwww.microsoft.com/­en-us/­sql-serverwww.tarantool.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­en-US/­sql/­sql-serverwww.tarantool.io/­en/­doc
DeveloperCommunity supported by Red HatIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MicrosoftMail.ru Group
Initial release2014198419892008
Current release14.10.FC5, November 2020SQL Server 2019, November 20192.4.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercial 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 languageJavaC, C++ and JavaC++C and C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesstring, 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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesFull-featured ANSI SQL support
APIs and other access methodsHTTP RESTJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Open binary protocol
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
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 proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaLua, C and SQL stored procedures
Triggersyes infovia Hawkular Alertingyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingtables 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 nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, 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.noyesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Hawkular MetricsInformixMicrosoft SQL ServerTarantool
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