DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Microsoft Azure Data Explorer vs. RavenDB vs. SWC-DB vs. Transbase vs. Vertica

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. RavenDB vs. SWC-DB vs. Transbase vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRavenDB  Xaus Vergleich ausschliessenSWC-DB infoSuper Wide Column Database  Xaus Vergleich ausschliessenTransbase  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMSCloud 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 StoreWide Column StoreRelational DBMSRelational 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
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,92
Rang#101  Overall
#18  Document Stores
Punkte0,01
Rang#376  Overall
#13  Wide Column Stores
Punkte0,11
Rang#341  Overall
#150  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.htmlwww.vertica.com
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.htmlvertica.com/­documentation
EntwicklerMicrosoftHibernating RhinosAlex KashirinTransaction Software GmbHOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20192010202019872005
Aktuelle Versioncloud service with continuous releases5.4, Juli 20220.5, April 2021Transbase 8.3, 202212.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoAGPL Version 3, kommerzielle Lizenz verfügbarOpen Source infoGPL V3kommerziell infoDevelopment Lizenz gratiskommerziell 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#C++C und C++C++
Server BetriebssystemegehostetLinux
macOS
Raspberry Pi
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Linux
DatenschemaFixed schema with schema-less datatypes (dynamic)schemafreischemafreijaYes, 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-typesneinjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinnein
Sekundärindizesall fields are automatically indexedjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query language (RQL)SQL-like query languagejaFull 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
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietäres Protokoll
Thrift
ADO.NET
JDBC
ODBC
Proprietäres native API
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
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, Rjaneinjayes, PostgreSQL PL/pgSQL, with minor differences
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaneinjayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceShardingShardinghorizontal 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.Multi-Source ReplikationSource-Replica ReplikationMulti-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-sparkjaneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID, Cluster-wide transaction availablejaACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinneinnein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationAuthorization levels configured per client per databaseBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerRavenDBSWC-DB infoSuper Wide Column DatabaseTransbaseVertica 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...
» mehr

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Microsoft Azure Data ExplorerRavenDBSWC-DB infoSuper Wide Column DatabaseTransbaseVertica infoOpenText™ Vertica™
Erwähnungen in aktuellen Nachrichten

Introducing Microsoft Fabric: The data platform for the era of AI | Microsoft Azure Blog
23. Mai 2023, azure.microsoft.com

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, azure.microsoft.com

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

Azure Data Explorer and Stream Analytics for anomaly detection
16. Januar 2020, azure.microsoft.com

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

bereitgestellt von Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3. Oktober 2023, PR Newswire

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and ...
13. Juni 2023, PR Newswire

Install the NoSQL RavenDB Data System
14. Mai 2021, The New Stack

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23. Mai 2022, InfoQ.com

RavenDB Adds Graph Queries
15. Mai 2019, Datanami

bereitgestellt von Google News

2022 All O-Zone Football Team
17. Dezember 2022, Ozarks Sports Zone

bereitgestellt von Google News

OCI Object Storage Completes Technical Validation of Vertica in Eon Mode
16. Oktober 2023, Oracle

Vertica by OpenText and Anritsu Sign New Deal for Next-Gen Architecture and 5G Network Capabilities
17. Mai 2023, PR Newswire

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

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

OpenText integrates Micro Focus tech through Cloud Editions 23.3
26. Juli 2023, Techzine Europe

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Präsentieren Sie hier Ihr Produkt