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DBMS > Google Cloud Bigtable

Google Cloud Bigtable Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit Google Cloud Bigtable zu vergleichen.

Unsere Besucher vergleichen Google Cloud Bigtable oft mit HBase, Google Cloud Datastore und Cassandra.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Bigtable
KurzbeschreibungGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primäres DatenbankmodellWide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,65
Rang#114  Overall
#7  Wide Column Stores
Websitecloud.google.com/­bigtable
Technische Dokumentationcloud.google.com/­bigtable/­docs
EntwicklerGoogle
Erscheinungsjahr2015
Lizenz infoCommercial or Open Sourcekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server Betriebssystemegehostet
Datenschemaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datenein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesnein
SQL infoSupport of SQLnein
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresnein
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoBietet ein API für Map/Reduce Operationenja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-row operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud Bigtable
Specific characteristics

Cloud Bigtable is a low latency, massively scalable wide-column NoSQL database for analytical and operational workloads (for example IoT, user analytics and financial analysis). As a fully managed Google Cloud Platform (GCP) offering, it benefits from industry leading security, availability and integration with other GCP capabilities. In addition to the original Bigtable API, Cloud Bigtable is fully compatible with an existing HBase™ setup, minimizing migration effort, and easing integration with other Apache™ capabilities such as Hadoop® and Spark™.

Check out the Cloud Bigtable Quickstarts for guidance on getting up and running.

Competitive advantages

Speed
Cloud Bigtable offers low latency and high throughput at any scale or application type, and can optimize your data over time for best performance. You can use Cloud Bigtable as the storage engine for large-scale, low-latency applications as well as throughput-intensive data processing and analytics.

Scalability
Horizontally scalable with no downtime to match your data throughput needs

Fully Managed
Cloud Bigtable is offered as a fully managed service, meaning you spend your time developing valuable applications instead of configuring and tuning your database for performance and scalability. In addition, Google’s own Bigtable operations team monitors the service to ensure issues are addressed quickly.

Integration
Google Cloud Platform (GCP) integration allows easy creation of full solutions, and HBase API compatibility extends this into the open source Apache ecosystem Learn more...

Data security
Backups. Identity and access management. Learn more...

Typical application scenarios

Ad Tech / User Analytics
Integrate large volumes of unrefined data from many sources, typically to drive consistent customer activity across channels. Collect and compare large volumes of behavior data across customers to find common patterns that can drive recommendations and sales. Store which pages/videos/images/songs customers listened to, engaged in, how long they stayed, what they did while on the page, where they went next, and so on.

FinTech
Build models based on historical behavior - continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data.

IoT
Ingest and analyze large volumes of time series data from sensors in real time - matching the high speeds the IoT data is generated to track normal and abnormal behavior. Enable customers to build dashboards and drive analytics on their data in real time.

Key customers

eBay, Spotify, Twitter, ZulilyMoloco, Cognite, Arcules, SymphonyPluribus Labs, HafslundOden Technologies, Server Density, MainAd, 3PM Solutions, Google

Licensing and pricing models

When you use Cloud Bigtable, you are charged for the following:

  • The type of Cloud Bigtable instance, and the total number of nodes in your instance's clusters.
  • The amount of storage that your tables use.
  • The amount of network bandwidth that you use.

When you enable replication by creating an instance with 2 clusters, you are charged only for the items listed above, including the complete copy of the instance's data that is stored with the second cluster. There are no additional charges for replication beyond these standard items.

Pricing guide

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
Google Cloud Bigtable
Erwähnungen in aktuellen Nachrichten

Google Expands Cloud BigTable Replication Capabilities in Beta Globally
20. März 2019, InfoQ.com

Google Expands Cloud Bigtable Replication Capabilities for Data Availability Across the Globe
7. März 2019, Toolbox

Google opens up its sixth European cloud region in Zurich
13. März 2019, SiliconANGLE News

Google launches cloud region in Zürich
12. März 2019, DatacenterDynamics

Google Cloud officially opens Zurich data centre region
14. März 2019, Cloud Tech

bereitgestellt von Google News

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