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DBMS > Google Cloud Bigtable

Google Cloud Bigtable System Properties

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#118  Overall
#7  Wide column stores
Technical documentationcloud.google.com/­bigtable/­docs
Initial release2015
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyes
Server operating systemshosted
Data schemeschema-free
Typing infopredefined data types such as float or dateno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesno
SQL infoSupport of SQLno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
JavaScript (Node.js)
Server-side scripts infoStored proceduresno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
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

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.

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.

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.

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.

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

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud Bigtable
Recent citations in the news

In Silicon Valley, Engineers Are Leaving Big Tech Companies To Chase Blockchain Dreams
26 October 2018, Forbes

Google Cloud Robotics Platform coming to developers in 2019
24 October 2018, Robot Report

Google updates its Cloud Spanner and Cloud BigTable databases
12 October 2018, SiliconANGLE News (blog)

Google's Cloud Robotics platform, to be launched in 2019, will combine the power of AI, robotics and the cloud
25 October 2018, Packt Hub

Google Cloud Spanner和Cloud Bigtable最新更新
18 October 2018, InfoQ: 时刻关注企业软件开发领域的变化与创新

provided by Google News

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