Cloud Dataprep

4.1
(6)

Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

Work for Cloud Dataprep?

Learning about Cloud Dataprep?

We can help you find the solution that fits you best.

Cloud Dataprep Reviews

Chat with a G2 Advisor
Write a Review
Filter Reviews
Filter Reviews
  • Ratings
  • Company Size
  • User Role
  • Industry
Ratings
Company Size
User Role
Industry
Showing 6 Cloud Dataprep reviews
LinkedIn Connections
Matthew B.
Validated Reviewer
Verified Current User
Review Source
content

"Clean up log files and any flat file easily"

What do you like best?

As a GCP user, the synchronization between flat files, cloud buckets and BigQuery makes for very efficient access to data. We are a small team so having a full ETL tool at our disposal without the heavy engineering resource requirements is a big win.

What do you dislike?

Exporting and sharing wrangles is not easy. This creates a risk in that certain jobs or wrangles are limited to a single user vs multiple users.

Recommendations to others considering the product:

I would recommend this to any team who needs assistance with cleaning up data for analysis. It's a great tool for analysts and non-technical users who are comfortable with test and learn from the very intuitive workflow.

What problems are you solving with the product? What benefits have you realized?

We process 100s of GB of Doubleclick Data Transfer data each week and the data is not always present a in format we need. Dataprep has given us a scalable tool that we can process and activate on log level data more efficiently. Cleaning small datasets are made more efficient so its great for small jobs that are repeated regularly.

Sign in to G2 to see what your connections have to say about Cloud Dataprep
Saurabh B.
Validated Reviewer
Review Source
content

"Its an intelligent Cloud data service."

What do you like best?

The best part of this product is the fast process and understanding about exploring the data very quick.Because of which I can avoid the time consuming analysis.It is very good in self analyzing the missing values and duplicates as well and save your time.

What do you dislike?

Its a good product however there are few area of improvements which is like the sort transform is not supported in this product also sharing is also not supported which is a drawback for this product.

Recommendations to others considering the product:

Its a user friendly product and since you can use it with same credentials which you already use for google service,It provides with best exploring and preparing function for your data with big query. The reason it is called intelligent data service because it will visually explore clean and prepare those data which is not ready for immediate analysis and its very easy to use product so you will not get bored too and yes its pretty user friendly as well.

What problems are you solving with the product? What benefits have you realized?

There are many business problems this product is solving for example its less time consuming since it analyze many issues itself which includes data transformation and its predicted with each UI input.It provides user with access and prepare data from storage themselves.It makes data handling very easy.

What Big Data Processing and Distribution solution do you use?

Thanks for letting us know!
Sorna K.
Validated Reviewer
Review Source
content

"A great data cleaner/manager"

What do you like best?

It is visual. It does not need coding when you are changing and correcting errors in your data. And i usually like products by Google because of their good service. You also can use any size of data.

What do you dislike?

I haven't seen anything in the program that I dislike yet.

Recommendations to others considering the product:

I started liking this program. It is good to give it a shot if you are working with different types of data sets.

What problems are you solving with the product? What benefits have you realized?

I clean and prepare the data to use in other programs or just to store them.

I also have a lot of tables and visual data that I can import. The connection between Google Cloud and Cloud Dataprep make my data storage and later data analysis much easier.

U
User
Validated Reviewer
Review Source
content
Business partner of the vendor or vendor's competitor, not included in G2 scores.

"Finally a business facing tool that anyone can use"

What do you like best?

I don't have to learn a new tech language, my data is presented to me in a clear and easy to understand manner. Love the deep integration to the rest of the Google Cloud.

What do you dislike?

Not enough community support to get my questions answered, not enough Googler's know about this.

What problems are you solving with the product? What benefits have you realized?

Preparing log data for analytics, basic cleansing and parsing. Instead of doing this manually in Google Sheets, Dataprep has automated most of this in a few steps.

IF
Industry Analyst / Tech Writer in Financial Services
Validated Reviewer
Review Source
content

"Google Cloud - Here for you"

What do you like best?

The ease of access is my number one favorite feature. I also really appreciate the ability to link with other accounts.

What do you dislike?

I have no complaints for this product, I really enjoyed using it!

Recommendations to others considering the product:

I used this with the help of a fellow employee at my company, but from my experience, I would recommend trying Cloud Dataprep.

What problems are you solving with the product? What benefits have you realized?

I've been able to prepare data for later manipulation, and pass it on to other business units for use in the future.

UI
User in Industrial Automation
Validated Reviewer
Review Source
content

"Great product for ML and data science"

What do you like best?

Easy visualization of large datasets and easy preprocessing for first time look at a new datasets. Flexible pipeline features. Dataflow visualization. Flexible exporting to other products

What do you dislike?

On occasion when importing data from gcp buckets (ex csv) it has lost some of my data

Recommendations to others considering the product:

Understand SQL commands and data storage option like BigQuery

What problems are you solving with the product? What benefits have you realized?

Machine learning for structured data. Better understanding of our inhouse data. Faster and more agile data analysis

Kate from G2

Learning about Cloud Dataprep?

I can help.
* We monitor all Cloud Dataprep reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.