Google Cloud Dataflow

Google Cloud Dataflow

By: Google

Google Cloud Dataflow is a cloud-based data processing and distribution application designed for executing data processing patterns. With the help of processing pipelines, it allows the user to monitor, analyse, and integrate data for batch and real-time streaming applications. Automation of data processing resources also helps in quick streaming and low data latency.

Based on 16 Votes
Top Google Cloud Dataflow Alternatives
  • TradingView
  • Splunk
  • Cloudera
  • Splunk Enterprise
  • ObservePoint
  • 1010data
  • Apache Kudu
  • Apache Kylin
  • Apache Phoenix
  • Apache Ambari
  • Snowplow Analytics
  • GridGain
  • Zendesk Explore
  • LeadLander
  • EmailAnalytics
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Top Google Cloud Dataflow Alternatives and Overview

1

TradingView

TradingView is a platform that allows traders to choose and analyze the stocks before buying them.

By: TradingView
Based on 14 Votes
2

Splunk

Splunk is a big data analytics platform used to collect and analyze machine-generated big data and deliver real-time business insights for better decision making.

By: Splunk Inc. From USA
3

Cloudera

By: Cloudera
Based on 24 Votes
4

Splunk Enterprise

Splunk Enterprise is a platform that assists the clients in data analysis and management.

By: Splunk
Based on 260 Votes
5

ObservePoint

ObserverPoint gives you a rich suite of data validation and testing tools that help you build trust in your data.

By: ObservePoint
Based on 11 Votes
6

1010data

1010data is a cloud based data analytics and management platform that offers various solutions for big data analysis, discovery and sharing.

By: 1010data, Inc. From USA
7

Apache Kudu

By: The Apache Software Foundation
Based on 1 Vote
8

Apache Kylin

By: The Apache Software Foundation
Based on 1 Vote
9

Apache Phoenix

It is incredibly fast in its operations so that it can deliver real-time results with...

By: The Apache Software Foundation
Based on 2 Votes
10

Apache Ambari

Hadoop is an open-source coding framework that enables the users to analyse and store big...

By: The Apache Software Foundation
Based on 5 Votes
11

Snowplow Analytics

They aim to be liberal to inquire whatever queries they want from their data without...

By: Snowplow Analytics
Based on 14 Votes
12

GridGain

It signifies that in practice, GridGain can store and process a user’s data right in...

By: GridGain Systems, Inc.
Based on 2 Votes
13

Zendesk Explore

Along with the measurement feature, it also helps in improving the customer experience...

By: Zendesk
Based on 17 Votes
14

LeadLander

By: Upland Software
Based on 32 Votes
15

EmailAnalytics

By: Emailanalytics
Based on 3 Votes

Google Cloud Dataflow Review and Overview

With increased cloud-based services in different fields like education, entertainment, data analysis and processing, data processing software have also come to garner heed across the web. There is no shortage of data over the internet, but what we need to make sense out of the data is a data processing software such as Google Cloud Dataflow.

Although data processing varies according to the business requirements, there is little that Google Cloud Dataflow (GCD) doesn’t have to offer. Stream Analytics feature offered by Google can be used to organize data efficiently as well as the autoscaling helps in proper resource management and deployment. Furthermore, Cloud Dataflow offers an exceptional error handling interface to manage errors that might otherwise cause permanent damage. This is done by dividing data in arbitrary bundles and erasing the ones which throw an error.

Effortless functionality and management

Google Cloud Dataflow operates on and executes dataflow pipelines. A pipeline-based data processing essentially means that it reads data and then transforms it into something usable before writing it out. Cloud Dataflow, through autoscaling, divides the task into small chunks for various virtual machines to work simultaneously, thus making it quick. Moreover, its serverless approach unburdens you of managing computer resources, thereby automating the dataflow in the best way possible.

Structured documentation

Cloud Dataflow is designed to process data in both, batch as well as streaming modes with the same programming model, which almost no other entrant offers. It enables the user to manipulate aspects of dataflow services by inserting execution parameters in pipeline codes, so as to adjust dataflow accordingly. To further enhance and optimize the process, Dataflow creates an execution graph for you to monitor the pipeline’s log and data aggregation.

Auxiliary Dataflow services

Cloud Dataflow offers its users miscellaneous services ranging from Shuffle to SQL to Templates. Shuffle helps in grouping and joining of data using the back end for batch pipelines, while templates enable you to share these pipelines across the platform with different members. For secure processing, Private IPs are used by Dataflow, also lowering the number of public IP addresses. Moreover, troubleshooting batch and streaming pipelines are also made easy by means of Inline monitoring while the Notebooks integration offers an AI platform to build and run pipelines in an inherent environment.

Company Information

Company Name: Google

Founded in: 1998