DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Datastax Enterprise vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Datastax Enterprise vs. Google Cloud Bigtable vs. Graphite vs. Microsoft Azure Data Explorer

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenGraphite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFully managed big data interactive analytics platform
Primäres DatenbankmodellWide Column StoreKey-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte7,07
Rang#57  Overall
#4  Wide Column Stores
Punkte3,86
Rang#90  Overall
#13  Key-Value Stores
#7  Wide Column Stores
Punkte4,84
Rang#79  Overall
#5  Time Series DBMS
Punkte5,82
Rang#65  Overall
#37  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.datastax.comcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDataStaxGoogleChris DavisMicrosoft
Erscheinungsjahr2011201520062019
Aktuelle Version6.8, April 2020cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaPython
Server BetriebssystemeLinux
OS X
gehostetLinux
Unix
gehostet
DatenschemaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinNumeric data onlyja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja
Sekundärindizesjaneinneinall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLneinneinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinneinneinYes, possible languages: KQL, Python, R
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"ShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingInternal replication in Colossus, and regional replication between two clusters in different zoneskeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjajaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)keineEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsAtomic single-row operationsneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja infolockingja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)neinAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseGoogle Cloud BigtableGraphiteMicrosoft Azure Data Explorer
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
Licensing and pricing modelsAnnual subscription
» 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
Datastax EnterpriseGoogle Cloud BigtableGraphiteMicrosoft Azure Data Explorer
DB-Engines Blog Posts

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

alle anzeigen

Erwähnungen in aktuellen Nachrichten

DataStax to Deliver High-performance RAG Solution with 20x Faster Embeddings and Indexing, at 80% Lower Cost ...
18. März 2024, Yahoo Finance

DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
20. Februar 2024, insideBIGDATA

DataStax Announces Vector Search for DataStax Enterprise: Bringing the Power of Generative AI to Any Cloud, Hybrid ...
8. August 2023, Business Wire

DataStax Rolls Out Vector Search for Astra DB to Support Gen AI
19. Juli 2023, EnterpriseAI

DataStax adds vector search to boost support for generative AI workloads
18. Juli 2023, SiliconANGLE News

bereitgestellt von Google News

What is Google Bigtable? | Definition from TechTarget
1. März 2022, TechTarget

Review: Google Bigtable scales with ease
7. September 2016, InfoWorld

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31. Januar 2022, InfoQ.com

Fire, water, knock out Google Cloud in Paris
27. April 2023, The Stack

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6. Mai 2015, VentureBeat

bereitgestellt von Google News

Grafana Labs Announces Mimir Time Series Database
1. April 2022, Datanami

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10. Dezember 2018, Uber

Getting Started with Monitoring using Graphite
23. Januar 2015, InfoQ.com

Build a Graphite dashboard for data analysis, visualization
20. November 2019, TechTarget

How Grafana made observability accessible
12. Juni 2023, InfoWorld

bereitgestellt von Google News

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ...
5. Februar 2024, azure.microsoft.com

Microsoft Introduces Azure Integration Environments and Business Process Tracking in Public Preview
23. November 2023, InfoQ.com

What is Microsoft Fabric? A big tech stack for big data
9. Februar 2024, InfoWorld

Data Explorer processes unlabeled visual data, boosting creation of production-ready AI models
19. April 2023, VentureBeat

Why the Azure community should start planning for Microsoft Fabric today
20. Juni 2023, MSDynamicsWorld

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

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.

AllegroGraph logo

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

Milvus logo

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

Präsentieren Sie hier Ihr Produkt