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DBMS > Hawkular Metrics vs. Informix vs. Microsoft Azure Data Explorer vs. TimescaleDB vs. YugabyteDB

Vergleich der Systemeigenschaften Hawkular Metrics vs. Informix vs. Microsoft Azure Data Explorer vs. TimescaleDB vs. YugabyteDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHawkular Metrics  Xaus Vergleich ausschliessenInformix  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTimescaleDB  Xaus Vergleich ausschliessenYugabyteDB  Xaus Vergleich ausschliessen
KurzbeschreibungHawkular 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 dataFully managed big data interactive analytics platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primäres DatenbankmodellTime Series DBMSRelational DBMS infoSeit Version 12.10 JSON/BSON Datentype mit Kompatibilität zu MongoDBRelational DBMS infocolumn orientedTime Series DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Relational DBMSDocument Store
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,00
Rang#379  Overall
#40  Time Series DBMS
Punkte17,87
Rang#35  Overall
#22  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,64
Rang#71  Overall
#4  Time Series DBMS
Punkte2,91
Rang#102  Overall
#51  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­informixazure.microsoft.com/­services/­data-explorerwww.timescale.comwww.yugabyte.com
Technische Dokumentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­en-us/­azure/­data-explorerdocs.timescale.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
EntwicklerCommunity 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.MicrosoftTimescaleYugabyte Inc.
Erscheinungsjahr20141984201920172017
Aktuelle Version14.10.FC5, November 2020cloud service with continuous releases2.15.0, Mai 20242.1, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziell infokostenlose Developer Edition verfügbarkommerziellOpen Source infoApache 2.0Open Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
ImplementierungsspracheJavaC,C++ und JavaCC und C++
Server BetriebssystemeLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
gehostetLinux
OS X
Windows
Linux
OS X
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)jadepending on used data model
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infoSeit Version 12.10 Unterstützung für native JSON/BSON Datentypenja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjajanein
Sekundärindizesneinjaall fields are automatically indexedjaja
SQL infoSupport of SQLneinjaKusto Query Language (KQL), SQL subsetja infofull PostgreSQL SQL syntaxyes, PostgreSQL compatible
APIs und andere ZugriffskonzepteHTTP RESTJDBC
JSON API infoKompatibel zu MongoDB
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Unterstützte ProgrammiersprachenGo
Java
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-seitige Scripts infoStored ProceduresneinjaYes, possible languages: KQL, Python, Rbenutzerdefinierte Funktionen, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellja infosql, plpgsql, C
Triggersja infovia Hawkular Alertingjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infobasierend auf CassandraShardingSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributesHash and Range Sharding, row-level geo-partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infobasierend auf CassandraMulti-Source Replikation
Source-Replica Replikation
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infoBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Fremdschlüssel inforeferenzielle Integritätneinjaneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infobased on RocksDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleneinUsers with fine-grained authentication, authorization, and auditing controlsAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardja
Weitere Informationen bereitgestellt vom Systemhersteller
Hawkular MetricsInformixMicrosoft Azure Data ExplorerTimescaleDBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» mehr
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» mehr
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» mehr
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» mehr
Licensing and pricing modelsApache 2.0 license for the database
» mehr

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Weitere Ressourcen
Hawkular MetricsInformixMicrosoft Azure Data ExplorerTimescaleDBYugabyteDB
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