Name: Google Cloud Dataflow
Rating: 7.8 (35 reviews)
Author: Google

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Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.

Google Cloud Dataflow

Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.

Streaming Analytics

Likelihood to Recommend

Real-Time Data Analysis

Data Ingestion from Multiple Data Sources

Low Latency

Linear Scale-Out

Machine Learning Automation

Data Enrichment

Google’s mission is to organize the world‘s information and make it universally accessible and useful. 

Since its founding in 1998, Google has grown by leaps and bounds. From offering search in a single language the company now offers dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, the company now has thousands of employees and offices around the world.

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

Visualization Dashboards

Easy-to-understand pictorial illustration of data with graphs charts and dashboards

Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or
data-point

Integrated Development Tools

Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined
functions and operators

Data wrangling and preparation

Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

Machine learning helps automate predictive scoring on streaming data

Ability to enrich the data stream with static reference data

erwin Data Modeler

Microsoft Teams

Cloud Architect

Google Cloud Dataflow 2022-01-08 09:49:06

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

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Streaming Analytics Software

In our company we are using Google Cloud Dataflow to create data pipe lines for data transformation and ingestion use cases before loading data into database. Flexibility to create our own flex templates for any special case handling. Capability to fit streaming and batch data loads are some benefits. We have some real time loads, which Dataflow helps alot.

Streaming, Real time work load
Batch processing
Auto scaling
flexible pricing

inbuild template options can be expanded
more data connector options
easy of use

cost saving from managing our own data center for ETL servers
consumption based pricing
with auto scaling feature, we were able to expand components to support work load

Google BigQuery, erwin Data Modeler, Microsoft Teams

Google Cloud Dataflow

Overview

What is Google Cloud Dataflow?