--- title: Google Cloud Managed Service for Apache Spark Reviews meta\_title: 'Google Cloud Managed Service for Apache Spark Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 17 reviews by the users' company size, role or industry to find out how Google Cloud Managed Service for Apache Spark works for a business like yours. aggregate\_rating: rating\_value: 4.4 review\_count: 17 scale: '5' date\_modified: '2026-08-07' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data ---

# Google Cloud Managed Service for Apache Spark Reviews & Product Details

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Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.

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[Google](https://www.g2.com/sellers/google)
Discussions
[Google Cloud Managed Service for Apache Spark Community](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/discuss)
Overview by
Ryan Jarouche

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## Value at a Glance

Averages based on real user reviews.

### Perceived Cost

$$$$$

[
View More Pricing Information
](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/pricing)

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## User Insights

Average based on 17 real user reviews.

Perceived Cost

$$$$$

[Log in to unlock pricing and user insights](/login)

 ![Danveer S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Danveer S.")
DS

Danveer S.

SDE II

Enterprise (\> 1000 emp.)

9/27/2023

"Google Cloud Dataproc: One stop solution for all of your big-data-cluster needs"

5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

1. idle cluster deletion helps save costs when cluster is not in use.

2. autoscaling handles peak time load efficiently.

3. GCP support team is helpful in any critical issues.

4. Java API support is great. Cluster creation, Data-ETL and cluster deletion can be done in a single pipeline. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

1. Cluster creation takes a few minutes of time which is not very convenient.

2.Sometimes autoscaling doesnot get triggered on time and pipelines fail with dataproc-agent-failure error Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

We are processing terrabites of data on dataproc and bringing consumer insights. It helps us in taking right decisions for our org. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic Review from User Profile

 ![Edgar A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Edgar A.")
EA

Edgar A.

Project Manager Architect / Google Cloud Data Engineer

Mid-Market (51-1000 emp.)

6/2/2023

"A very powerful Hadoop Implementation without the fanfare of AWS EMR"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

Using the GCP Storage and Processing paradigm can cause troubles in getting used to on-premise Hadoop users Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

A highly scalable solution that can help heavy users in their everyday jobs. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

MM

Malathi M.

Programmer Analyst Executive

Enterprise (\> 1000 emp.)

7/5/2022

"Managed/Scalable Data lake ETL in Google cloud"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

Google cloud DataProc best suits for below:

Open Source, managed, scalable data analytics

Serverless or manage clusters on your own

Has good integrations with other GCP services

Secure /cost-effective transient cluster with per-second billing

Hadoop ecosystem in the managed GCP environment

Easy to migrate the existing on-prem Hadoop workloads along with Hive warehouses. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

Dislikes are below:

Scaling down has performance & other issues because of a cool-down period of the pending task.

The serverless option should be improved with SLA-based scaling

Still for streaming options go for Dataflow

it still utilizes compute engine, not GKE (Google Kubernetes engine)

Storing persistent GCS (HCFS - Hadoop compatible file system) data from Dataproc has some slowness due to the separation of compute/storage - it is our option to choose which storage for which processing

It has HDFS storage allocated with each Dataproc node cluster, but not good for huge data storage locally Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud Managed Service for Apache Spark:

Always check your use-case best suits with dataproc vs dataflow

Also compare on Databricks delta lake pipelines

best to use when you want to integrate with multiple GCP services like Pubsub, bigquey and many GCP services Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

Unified processing of both batch & stream ETL pipelines

Simplifying the data lake building capabilities

Scalable, managed custom compute engine golden image can be built with installed Hadoop ecosystem for faster startups.

startup bootstrap scripts can be attached

Also able to use for data science use cases.

migration of existing on-prem Cloudera/HDP ambari clusters to data proc clusters in GCP

Easy to build workflow scheduling

Multi-modes of hive metastore creation Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Rahul K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rahul K.")
RK

Rahul K.

Big Data Engineer - I 

Mid-Market (51-1000 emp.)

9/26/2019

"Best for Hadoop and Scala Spark"

5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

Dev-Ops expertise friendly, It is very easy to use.

It gives almost 99.9% uptime and connection speed.

A lot of documentation available on its website.

A normal website user always look for cheap solutions.

Google offers a 300 dollars free cloud service for 1 year which is very attractive for small website users.

These are very scalable. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

Late entry to the Cloud marketing.

Fewer features and services.

Some feature are still in the Beta version.

Fewer worldwide data centers. Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud Managed Service for Apache Spark:

Dataproc clusters are very easy to use and maintain, with low cost.

Google provided Gcloud SDK to easily access and use dataproc. Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

We have (our company client) preprod and production cluster fully maintained by Google dataproc.

It helps us a lot maintaining them.

We both can easily access the cluster. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Zachary B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Zachary B.")
ZB

Zachary B.

Junior Data Analyst

Information Technology and Services

Enterprise (\> 1000 emp.)

7/9/2019

"Easy to use, dependable and powerful data processing tool"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

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 Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

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 Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud Managed Service for Apache Spark:

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 Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark 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. The ability to launch and scale clusters quickly and easily is very nice Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Higher Education](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Higher Education")
UH

Verified User in Higher Education

Small-Business (50 or fewer emp.)

4/10/2019

"I love this product!"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

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. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

Sometimes it can be not user friendly and clusters can take time to re start. Otherwise I have no other complaints. Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud Managed Service for Apache Spark:

Try it out. You won't have much to complain about. Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

This use of clusters has allowed for predictability for opportunities in determining future sales, increased efficiency.&nbsp; Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Accounting](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Accounting")
UA

Verified User in Accounting

Mid-Market (51-1000 emp.)

4/9/2019

"Google Cloud "

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

The best way to manage Spark and Hadoop service that has been offered on the Google Cloud Platform. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

it doesn’t work with custom sources. For the standard computer, it is still the most expensive component Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

create managed clusters Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerSource: Seller invite

 ![Verified User in Consumer Electronics](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Consumer Electronics")
UC

Verified User in Consumer Electronics

Mid-Market (51-1000 emp.)

2/22/2019

"Google Cloud dataproc"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

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.

Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

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.

Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

Load balance is smooth between various clusters as jobs get distributed between the nodes.The predictability for opportunities in determining future sales, increased efficiency. Working towards running map reduce jobs for a recent project. Review collected by and hosted on G2.com.

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3/14/2019
Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Retail](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Retail")
AR

Verified User in Retail

Mid-Market (51-1000 emp.)

4/11/2019

"Use of Dataproc in Retail analytics"

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

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.

. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

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. Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

Data Analytics in Cloud using Google ML capabilities. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 Gives Campaign

 ![Verified User in Information Technology and Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Technology and Services")
CI

Verified User in Information Technology and Services

Enterprise (\> 1000 emp.)

4/8/2019

"Big Data Consultant "

4.5/5

What do you like best about Google Cloud Managed Service for Apache Spark?

User friendly. Good GUI. Does what it needs to d8. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Managed Service for Apache Spark?

Too many steps when using ssh. Make it less steps to use when using the cloudshell. Review collected by and hosted on G2.com.

What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?

Haven't used in that setting yet. Just practice. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 Gives Campaign

##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

[
View More Pricing Information
](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/pricing)

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