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DBMS > Hawkular Metrics vs. Microsoft Azure Data Explorer vs. STSdb vs. Tarantool vs. Vertica

Vergleich der Systemeigenschaften Hawkular Metrics vs. Microsoft Azure Data Explorer vs. STSdb vs. Tarantool vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHawkular Metrics  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSTSdb  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully managed big data interactive analytics platformKey-Value Store mit spezieller Indizierungsmethode infoOptimiert hinsichtlich Performanz durch spezielle IndizierungstechnologieIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedKey-Value StoreDocument Store
Key-Value Store
Relational DBMS
Relational DBMS infoColumn oriented
Sekundäre DatenbankmodelleDocument 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
Spatial DBMS infowith Tarantool/GIS extensionSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,00
Rang#379  Overall
#40  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,04
Rang#360  Overall
#52  Key-Value Stores
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitewww.hawkular.orgazure.microsoft.com/­services/­data-explorergithub.com/­STSSoft/­STSdb4www.tarantool.iowww.vertica.com
Technische Dokumentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­docvertica.com/­documentation
EntwicklerCommunity supported by Red HatMicrosoftSTS Soft SCVKOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20142019201120082005
Aktuelle Versioncloud service with continuous releases4.0.8, September 20152.10.0, Mai 202212.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoGPLv2, kommerzielle Lizenz verfügbarOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC#C und C++C++
Server BetriebssystemeLinux
OS X
Windows
gehostetWindowsBSD
Linux
macOS
Linux
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaFlexible data schema: relational definition for tables with ability to store json-like documents in columnsYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infoPrimitive Typen und benutzerdefinierte Klassenstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesneinall fields are automatically indexedneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinFull-featured ANSI SQL supportFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteHTTP RESTMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client APIOpen binary protocolADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenGo
Java
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RneinLua, C and SQL stored proceduresyes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infovia Hawkular Alertingja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infobasierend auf CassandraSharding infoImplicit feature of the cloud servicekeineSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.horizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infobasierend auf Cassandraja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Eventual Consistency
Immediate Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinyesja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajayes, write ahead loggingja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinyes, full featured in-memory storage engine with persistencenein
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory AuthenticationneinAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Hawkular MetricsMicrosoft Azure Data ExplorerSTSdbTarantoolVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Hawkular MetricsMicrosoft Azure Data ExplorerSTSdbTarantoolVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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