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What is Google Cloud Bigtable?

Google Cloud Bigtable is a robust NoSQL data service that is fully managed and designed to scale efficiently, capable of managing extensive operational and analytical tasks. It offers impressive speed and performance, acting as a storage solution that can expand alongside your needs, accommodating data from a modest gigabyte to vast petabytes, all while maintaining low latency for applications as well as supporting high-throughput data analysis. You can effortlessly begin with a single cluster node and expand to hundreds of nodes to meet peak demand, and its replication features provide enhanced availability and workload isolation for applications that are live-serving. Additionally, this service is designed for ease of use, seamlessly integrating with major big data tools like Dataflow, Hadoop, and Dataproc, making it accessible for development teams who can quickly leverage its capabilities through support for the open-source HBase API standard. This combination of performance, scalability, and integration allows organizations to effectively manage their data across a range of applications.

What is Google Cloud Dataflow?

A data processing solution that combines both streaming and batch functionalities in a serverless, cost-effective manner is now available. This service provides comprehensive management for data operations, facilitating smooth automation in the setup and management of necessary resources. With the ability to scale horizontally, the system can adapt worker resources in real time, boosting overall efficiency. The advancement of this technology is largely supported by the contributions of the open-source community, especially through the Apache Beam SDK, which ensures reliable processing with exactly-once guarantees. Dataflow significantly speeds up the creation of streaming data pipelines, greatly decreasing latency associated with data handling. By embracing a serverless architecture, development teams can concentrate more on coding rather than navigating the complexities involved in server cluster management, which alleviates the typical operational challenges faced in data engineering. This automatic resource management not only helps in reducing latency but also enhances resource utilization, allowing teams to maximize their operational effectiveness. In addition, the framework fosters an environment conducive to collaboration, empowering developers to create powerful applications while remaining free from the distractions of managing the underlying infrastructure. As a result, teams can achieve higher productivity and innovation in their data processing initiatives.

Media

Media

Integrations Supported

Google Cloud IoT Core
Google Cloud Platform
Apache Spark
Auris
CData Connect
Google Cloud Dataflow
Google Cloud Managed Service for Apache Airflow
Google Cloud Managed Service for Apache Spark
Google VPC Service Controls
Heroic
InfluxDB
IntelliPay
New Relic
OpenTSDB
Pantomath
Privacera
Protegrity
Telmai
Ternary
YepCode

Integrations Supported

Google Cloud IoT Core
Google Cloud Platform
Apache Spark
Auris
CData Connect
Google Cloud Dataflow
Google Cloud Managed Service for Apache Airflow
Google Cloud Managed Service for Apache Spark
Google VPC Service Controls
Heroic
InfluxDB
IntelliPay
New Relic
OpenTSDB
Pantomath
Privacera
Protegrity
Telmai
Ternary
YepCode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/bigtable

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataflow

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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