Google Cloud Dataflow
Google Cloud Dataflow : Reviews, Pricing, Features & AlternativesGoogle Cloud Dataflow is a Flow Process tool. Review Google Cloud Dataflow : Overview & Pricing
Google Cloud Dataflow Overview : Features, Pricing, Reviews & Alternatives
Google Cloud Dataflow is a Flow Process tool intended for businesses. Let’s discover user reviews, features and prices of this business app.
Google Cloud Dataflow is listed as a Flow Process and IT Infrastructure for companies and is used for Business Intelligence and Analytics Data infrastructure Stream processing …
Google Cloud Dataflow prices are available on demand .
Google Cloud Dataflow is a fully managed cloud service and programming model for batch processing and streaming of big data.
What is Google Cloud Dataflow ?
Cloud Dataflow is a fully managed service for transforming and enriching streaming (real-time) and batch (historical) data with equal reliability and expressiveness, without the need for compromises or complex workarounds. And with its serverless approach to provisioning and resource management, you have access to virtually unlimited capacity to solve your biggest data processing challenges, while paying only for what you use.
Google Cloud Dataflow is a unified programming model and managed service for building and running a wide variety of data processing models, including ETL, batch computing, and continuous computing. Cloud Dataflow frees you from operational tasks like resource management and performance tuning.
Simplified streaming and batch data processing with the same reliability and expressiveness
Pros & Cons
When it comes to finding the right Flow Process tools to manage your business, you have too many options – and they all come with their strengths and weaknesses.
One such familiar name in this arena is Google Cloud Dataflow, and as you may have guessed from the title, this review will tell you more about Google Cloud Dataflow’s pros and cons.
Weighing the pros & cons is essential before selecting this tool for your business and your team.
Google Cloud Dataflow Pros : Key Benefits
– fully managed
– SaaS platform.
– Scalability and integration
– Frequent releases / updates
– High Compatibility
Google Cloud Dataflow Cons
– Con : Custom integrations can come at a price.
Google Cloud Dataflow Features
Here is the list of the main features of this computer software :
– SaaS software
Main function & Pro Features
– Cloud Services
Google Cloud Dataflow Integrations
Google Cloud Dataflow integrates with more than 18 applications & plugins like Google Cloud Healthcare API, Google AutoML Tables and Google AI Platform (…) : database connection, synchronize data, share files (…) to improve your workflow and increase your productivity !
It also provides a powerful API toolkit that allows developers to build web services and exchange data.
Top 20 Google Cloud Dataflow integrations
– Google AI Platform
– Google AutoML Tables
– Google Cloud Healthcare API
– Aviatrix
– Cloud AI Platform Pipelines
– G Suite
– Gmail
– Google Ads
– Google Calendar
– Google Analytics
– Google Compute Engine
– Google Docs
– Google Drive
– Google Maps
– Google sheets
– IFTTT
– Zapier
Google Cloud Dataflow Pricing
The Google Cloud Dataflow pricing plan is available on request, but this price is likely to change because different options are offered by the developer : number of licenses, additional functions, add-ons, bundles …
Google Cloud Dataflow offers several pricing plans :
– Free Trial : $ 0 per user / per month
– Start : Price on demand
– Professional : Price on demand
– Enterprise : Price on demand
– Premium : Price on demand
Free Trial | Start | Professional | Enterprise | Premium |
$0 | Price on demand | Price on demand | Price on demand | Price on demand |
Per month | Per month | Per month | Per month | Per month |
Per user | Per user | Per user | Per user | Per user |
Save $$$ on SaaS and on-premise Software Subscriptions to help your create, grow and scale your business : annual billing usually is cheaper than monthly billing and you can expect 10% to 20% discount.
Sign up for a trial and start using it right away !
Free trials usually are time limited or feature limited but this is a good way to ensure it is the right option for your business before making a purchase.
Screenshot of the Vendor Pricing Page :
Pricing Details
Pricing Model : Subscription
Free trial : No information
Free plan : No information
Freemium : No information
Starting price : Prices can vary depending on your business needs.
Entry-level set up fee : No setup fee
The pricing details were last updated this year from the vendor website or retrieved from publicly accessible pricing materials and may be different from actual. Please confirm pricing and deals with the vendor website before purchasing.
Deployment & Setup
Google Cloud Dataflow is a cloud-based Flow Process platform : its infrastructure is hosted in the United States (probably on AWS, Microsoft Azure or Google Cloud Platform).
google-cloud-dataflow is a SaaS (Software as a Service) / web application : a web browser on a computer is required for full functionality of features and manage dashboard.
It supports desktop operating systems (like Windows and Mac OS …).
Technical Details & Specifications
Deployment : Cloud / SaaS
Desktop Operating Systems : Windows / Mac OS / Linux …
Mobile Platforms : –
Native Apps / Mobile Applications : –
GDPR compliance : No information
Supported languages
This application software supports the following languages : English …
Support & Training
Any problem with this computer program ? The vendor offers the following customer service & support to help teams get the most out of their business application : Online Support …
Hotline : Yes
Training options : …
Industry & Customers
Who use Google Cloud Dataflow ?
This software package is tailored to business needs : Small and Medium companies, Medium companies (Turnover : – $50 million) in countries like United Kingdom …
This web-based application is recommended for trades : IT …
This cloud software is used in the sectors : Software, Retail business, Information Technology and Services, Hardware …
Customer References
Testimonials & Customer References to decide if this is the right business software or service for your company : Logrhythm, Merkle Group Inc, Ulta Beauty Inc, Smart Technologies Inc, Daugherty Systems, Spotify, The New York Times …
Awards & Recognitions
No information .
Screenshots
This computer program has an ergonomic, intuitive and customizable user interface, which will improve team productivity and collaborative work within your company (Entrepreneur, Freelancer, Large Company …)
Google Cloud Dataflow Screenshots & Images : UI, dashboard …
Videos
Video #1
Video #2
Google Cloud Dataflow Reviews
Here is our opinion on Google Cloud Dataflow : this is an innovative flow process tool to discover .
Google Cloud Dataflow User Reviews & Ratings
Online and customer reviews of Google Cloud Dataflow software are quite plentiful and overall medium :
Overall rating : 3/5
Value for money : 3/5
Functionality : 3/5
Usefulness : 3/5
Ease of use : 3/5
User rating Excellent : 10%
User rating Very Good : 80%
User rating Average : 10%
User rating Poor : 0%
User rating Terrible : 0%
Popularity on social networks :
Your Customer Review on Google Cloud Dataflow
What is your opinion about this app ? Submit your review and tell us about your overall opinion : experience with this SaaS software, rating, ease of use, customer service, value for money, Pros & Cons …
Customer reviews and feedbacks play an increasingly important role in the business software buying process. You can provide in-depth review and share your buying advice / reviewer sentiment : what is your likelihood to recommend Google Cloud Dataflow ? What is your likelihood to renew ?
FAQs
Why use a Flow Process tool ?
A Process Flow / Flowchart is a graphical representation of how a process works, showing, at a minimum, the sequence of steps.
According to various sources, most used business software are : Amazon Kinesis (market share : 1,20%), Apache Spark Streaming (0,70%), Apache Storm (0,60%), Confluent (0,20%), ExtraHop (0,20%), Apache Flink (0,10%), Google Cloud Dataflow (0,10%)
Main functions are : 24/7 accessibility, Import – Export data
Main characteristics are : development tools, mobile app development, mobile content management, mobile device management, server management, streaming, web analytics, virtualization, analysis, content delivery, content delivery network, data streaming, network and administration, virtualization, aws, aws monitoring, flying data, cisco, citrix, devops, ide, infrastructure monitoring, infrastructure management, network monitoring, npm, operational intelligence, support, layers, layers, network management
We have identified more than 21 competitors on the market.
Company details
Developed by GOOGLE, Inc. (@googlecloud on Twitter)
HQ location : USA
Founded :
Total revenue :
Industry : B2B SaaS company
Software Category : IT Management & Big Data Software > IT Infrastructure > Flow Process
Schema : SoftwareApplication > DeveloperApplication
Tags : …
Website : visit cloud.google.com
About This Article
This page was composed and published by SaaS-Alternatives.
The information (and product details) outlined above is provided for informational purposes only. Please Check the vendor’s website for more detailed information.
Our opinion on Google Cloud Dataflow is independent in order to highlight the strengths and weaknesses of this Flow Process tool. Our website is supported by our users. We sometimes earn affiliate commission when you click through the affiliate links on our website.
Google Cloud Dataflow Alternatives
If you’re understanding the drawbacks and you’re looking for a Google Cloud Dataflow alternative, there are more than 17 competitors listed on SaaS-Alternatives !
If you’re in the market for a new software solution, the best approach is to narrow down your selection and then begin a free trial or request a demo.
Top 10 Alternatives & Competitors to Google Cloud Dataflow
– Apache Flink
– Amazon Kinesis
– Google Cloud Dataflow
– Apache Storm
– ExtraHop
– Logstash
– DataTorrent
– Confluent
– alooma
– Heron
SaaS alternatives
Apache Spark : Spark is a fast, general-purpose processing engine that supports Hadoop data. It can run on Hadoop clusters via YARN or Spark standalone mode, and can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop input format. It is designed for batch processing (similar to MapReduce) and new workloads such as streaming, interactive queries, and machine learning.
Kafka : Kafka is a replicated, partitioned, distributed commit logging service. It provides the functionality of an email system, but with a unique design.
Hadoop : The Apache Hadoop software library is a framework that enables distributed processing of large data sets across groups of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each providing local compute and storage.
Akutan : A store of distributed knowledge graphs. Knowledge graphs are well suited for modeling data that is strongly interconnected by many types of relationships, such as encyclopedic information about the world.
Apache Beam : Deploy batch and continuous data processing jobs that run at any runtime. Run pipelines on multiple runtimes.
You can also take a look at other business apps, like our Guestmeter review and our Liquid Web review.
Comparison with Similar Software & Contenders
Take an in-depth look at popular IT Management & Big Data Software and IT Infrastructure to find out which one is right for your needs. Discover how these Flow Process compare to Google Cloud Dataflow when it comes to features, ease of use, customer support and user reviews. Explore software, Compare options and alternatives, Read reviews and Find your solution !