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DBMS > Microsoft Azure Data Explorer vs. OrigoDB vs. Prometheus vs. Sqrrl vs. Vertica

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. OrigoDB vs. Prometheus vs. Sqrrl vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOrigoDB  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungFully managed big data interactive analytics platformA fully ACID in-memory object graph databaseOpen Source Timeseries DBMS und Monitoring SystemAdaptable, secure NoSQL built on Apache AccumuloCloud 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 DatenbankmodellRelational DBMS infocolumn orientedDocument Store
Object oriented DBMS
Time Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#53  Document Stores
#20  Object oriented DBMS
Punkte8,42
Rang#47  Overall
#2  Time Series DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerorigodb.comprometheus.iosqrrl.comwww.vertica.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docsprometheus.io/­docsvertica.com/­documentation
EntwicklerMicrosoftRobert Friberg et alAmazon infoursprünglich Sqrrl Data, Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20192009 infounder the name LiveDB201520122005
Aktuelle Versioncloud service with continuous releases12.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen SourceOpen Source infoApache 2.0kommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein 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.
ImplementierungsspracheC#GoJavaC++
Server BetriebssystemegehostetLinux
Windows
Linux
Windows
LinuxLinux
DatenschemaFixed schema with schema-less datatypes (dynamic)jajaschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collectionsNumeric data onlyjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjanein infocan be achieved using .NETnein infoImportieren von XML Daten möglichnein
Sekundärindizesall fields are automatically indexedjaneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetneinneinneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, Rjaneinneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoDomain Eventsneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud servicehorizontale Partitionierung infoclient side managed; servers are not synchronizedShardingSharding infoBasierend auf Hadoophorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationja infomittels Federationfrei wählbarer Replikationsfaktor infobasierend auf HadoopMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinjano infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
keineImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneindepending on modelneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinAtomic updates per row, document, or graph entityACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaja infoWrite ahead logjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinnein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationRole based authorizationneinCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerOrigoDBPrometheusSqrrlVertica 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,...
» mehr
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Microsoft Azure Data ExplorerOrigoDBPrometheusSqrrlVertica infoOpenText™ Vertica™
Erwähnungen in aktuellen Nachrichten

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, Microsoft

Providing modern data transfer and storage service at Microsoft with Microsoft Azure - Inside Track Blog
13. Juli 2023, microsoft.com

Controlling costs in Azure Data Explorer using down-sampling and aggregation
11. Februar 2019, Microsoft

Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services
7. Februar 2019, Microsoft

Log and Telemetry Analytics Performance Benchmark
16. August 2022, Gigaom

bereitgestellt von Google News

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10. März 2024, AWS Blog

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17. Juli 2023, The New Stack

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1. Februar 2024, Linux Journal

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18. Oktober 2021, TechTarget

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6. Mai 2024, TechTarget

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8. Juni 2023, cisomag.com

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23. Februar 2024, Dark Reading

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18. September 2023, Mint

Amazon's cloud business acquires Sqrrl, a security start-up with NSA roots
23. Januar 2018, CNBC

bereitgestellt von Google News

Stonebraker Seeks to Invert the Computing Paradigm with DBOS
12. März 2024, Datanami

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14. September 2023, Spiceworks News and Insights

OpenText expands enterprise portfolio with AI and Micro Focus integrations
25. Juli 2023, VentureBeat

OpenText integrates Micro Focus tech through Cloud Editions 23.3
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Postgres pioneer Michael Stonebraker promises to upend the database once more
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