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Google Cloud Dataproc Reviews

User Rating

4.7/5 (Based on 17 Ratings)

Rating Distribution

  • Excellent

    76.5%
  • Very Good

    11.8%
  • Average

    11.8%
  • Poor

    0%
  • Terrible

    0%

Do You Use Google Cloud Dataproc?

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Reviews
DS

Danveer S

September 27, 2023 Source: G2.com
Google Cloud Dataproc: One stop solution for all of your big-data-cluster needs
What do you like best about Google Cloud Dataproc?
1. idle cluster deletion helps save costs when cluster is not in use.
What do you dislike about Google Cloud Dataproc?
2. autoscaling handles peak time load efficiently.
Recommendations to others considering Google Cloud Dataproc?
3. GCP support team is helpful in any critical issues.
What problems is Google Cloud Dataproc solving and how is that benefiting you?
4. Java API support is great. Cluster creation, Data-ETL and cluster deletion can be done in a single pipeline.
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EA

Edgar A

June 2, 2023 Source: G2.com
A very powerful Hadoop Implementation without the fanfare of AWS EMR
What do you like best about Google Cloud Dataproc?
A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.
What do you dislike about Google Cloud Dataproc?
Using the GCP Storage and Processing paradigm can cause troubles in getting used to on-premise Hadoop users
What problems is Google Cloud Dataproc solving and how is that benefiting you?
A highly scalable solution that can help heavy users in their everyday jobs.
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MM

Malathi M

July 5, 2022 Source: G2.com
Managed/Scalable Data lake ETL in Google cloud
What do you like best about Google Cloud Dataproc?
Google cloud DataProc best suits for below:
What do you dislike about Google Cloud Dataproc?
Recommendations to others considering Google Cloud Dataproc?
Open Source, managed, scalable data analytics
What problems is Google Cloud Dataproc solving and how is that benefiting you?
Serverless or manage clusters on your own
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RK

Rahul K

September 26, 2019 Source: G2.com
Best for Hadoop and Scala Spark
What do you like best about Google Cloud Dataproc?
Dev-Ops expertise friendly, It is very easy to use.
What do you dislike about Google Cloud Dataproc?
It gives almost 99.9% uptime and connection speed.
Recommendations to others considering Google Cloud Dataproc?
A lot of documentation available on its website.
What problems is Google Cloud Dataproc solving and how is that benefiting you?
A normal website user always look for cheap solutions.
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ZB

Zachary B

July 9, 2019 Source: G2.com
The ability to launch and scale clusters quickly and easily is very nice Easy to use, dependable and powerful data processing tool
What do you like best about Google Cloud Dataproc?
That it's serverless - no infrastructure to manage. Big win. Bonus points for having Spark (plus API's), Hive and Hadoop preinstalled on the clusters. Optionality for launching managed instance clusters is quite nice to have as well
What do you dislike about Google Cloud Dataproc?
It's a tough call - either the lack of enterprise admin and monitoring capabilities, or the inability to flexibly burst beyond fixed-capacity flat-rate pricing
Recommendations to others considering Google Cloud Dataproc?
Dataproc is a great tool for big data processing. We chose it because of it's native support for Spark and Hive. Additionally, the ability to scale your data processing needs is very simple
What problems is Google Cloud Dataproc solving and how is that benefiting you?
We used Dataproc for big data processing, mainly because it has Spark installed on the clusters by default.
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VR

Verified User in Retail

April 11, 2019 Source: G2.com
Use of Dataproc in Retail analytics
What do you like best about Google Cloud Dataproc?
Use of Dataproc make the use of Hadoop Big Data solution in Cloud in Cloud seamless. It brings in the capability of storing non-structured data and decoupling with Compute so that it is scalable.
What do you dislike about Google Cloud Dataproc?
.
Recommendations to others considering Google Cloud Dataproc?
Key downsize has been unbale to create SQL frontend similar to Hive Metastore in Hadoop platform. BigQuery currently does not support AVRO and Parquet format.
What problems is Google Cloud Dataproc solving and how is that benefiting you?
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VE

Verified User in Higher Education

April 10, 2019 Source: G2.com
I love this product!
What do you like best about Google Cloud Dataproc?
I like the ease of use for building clusters quickly and efficiently. At the same time I can resize them at any moment in time. I have plenty of nodes so that I don't have to be concerned about pipelines outgrowing my clusters. I like how the price is based on actual use, and that they gave me a $300 credit towards my project.
What do you dislike about Google Cloud Dataproc?
Sometimes it can be not user friendly and clusters can take time to re start. Otherwise I have no other complaints.
Recommendations to others considering Google Cloud Dataproc?
Try it out. You won't have much to complain about.
What problems is Google Cloud Dataproc solving and how is that benefiting you?
This use of clusters has allowed for predictability for opportunities in determining future sales, increased efficiency.
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VA

Verified User in Accounting

April 9, 2019 Source: G2.com
Google Cloud
What do you like best about Google Cloud Dataproc?
The best way to manage Spark and Hadoop service that has been offered on the Google Cloud Platform.
What do you dislike about Google Cloud Dataproc?
it doesn’t work with custom sources. For the standard computer, it is still the most expensive component
What problems is Google Cloud Dataproc solving and how is that benefiting you?
create managed clusters
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VS

Verified User in Information Technology and Services

April 8, 2019 Source: G2.com
Big Data Consultant
What do you like best about Google Cloud Dataproc?
User friendly. Good GUI. Does what it needs to d8.
What do you dislike about Google Cloud Dataproc?
Too many steps when using ssh. Make it less steps to use when using the cloudshell.
What problems is Google Cloud Dataproc solving and how is that benefiting you?
Haven't used in that setting yet. Just practice.
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VE

Verified User in Consumer Electronics

March 14, 2019 Source: G2.com
Google Cloud dataproc
What do you like best about Google Cloud Dataproc?
This software is very good .it's ability to predict opportunities in sales or manufacturing from business records or data.Smooth IDE and seamless integration with multiple programming language options.
What do you dislike about Google Cloud Dataproc?
Recommendations to others considering Google Cloud Dataproc?
What problems is Google Cloud Dataproc solving and how is that benefiting you?
not user friendly, would be more beneficial for data scientists or someone who specializes in IT.Clusters take time to re-start when billing is re-enabled.
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