Last updated on
Company health
Ratings
Google Cloud Dataprep description
Google Cloud Dataprep is a cloud-based tool that helps you clean and prepare data for analysis. It can handle large amounts of data and doesn't require you to set up any servers. Its visual interface makes it easy to explore your data and fix any errors. With Dataprep, you can prepare your data for analysis without needing to write code.
Who is Google Cloud Dataprep best for
Google Cloud Dataprep is great for companies that want to clean and prepare data for analysis. Its visual interface makes it easy to explore your data and fix any errors. We find that it is particularly useful for data professionals who want to consolidate data into one location for insights. With Dataprep, you can prepare your data for analysis without needing to write code, saving you time and resources.
-
Great for companies of all sizes, from small businesses to large enterprises seeking streamlined data analysis.
-
Suited for finance, software, IT, telecommunications, and marketing firms aiming to improve data-driven strategies.
Google Cloud Dataprep features
Supported Serverless architecture: A fully managed, serverless data analytics platform designed to be multi-engine, multi-format, and multi-cloud. |
Supported AI-powered assistance: Provides AI-powered assistive and collaborative features within BigQuery, including code assist, visual data preparation, and intelligent recommendations to enhance productivity and optimize costs. |
Supported Serverless Apache Spark: Allows running Apache Spark directly within BigQuery without exporting data or managing infrastructure. |
Supported Unified data management: Manages various data types across clouds, both structured and unstructured, with fine-grained access controls. |
Supported Built-in machine learning: Offers built-in capabilities to create and run machine learning models directly on BigQuery data. |
Supported Built-in data governance: Integrates built-in data governance capabilities, including Dataplex features like unified metadata catalog, data quality, lineage, and profiling. |
Supported Enterprise-grade capabilities: Provides cross-region disaster recovery, data backup and recovery features, and operational health monitoring. |
Google Cloud Dataprep pricing
The commentary is based on 1 reviews from Google Cloud Dataprep G2 reviews.
We find that users consider Google Cloud Dataprep to be expensive, but ultimately worthwhile. While the cost might seem high initially, the time saved on data preparation leads to significant productivity gains, making it a valuable investment despite the price.
See the Google Cloud Dataprep pricing page.
Google Cloud Dataprep alternatives
SAS Data PreparationVisually prepares data for analysis, simplifies cleanup, and boosts collaboration.Read more
Google Cloud DatalabInteractive data exploration, analysis, and visualization in the cloud.Read more
Google Cloud Dataprep FAQ
Google Cloud Dataprep is a serverless data service for visually exploring, cleaning, and preparing data for analysis. It uses AI to assist with data preparation and integrates with other Google Cloud services. We find it's a good fit for businesses of all sizes needing a no-code data preparation solution.
What is Google Cloud Dataprep and what does Google Cloud Dataprep do?
Google Cloud Dataprep is a serverless data service for visually exploring, cleaning, and preparing data for analysis. It uses AI to assist with data preparation and integrates with other Google Cloud services. We find it's a good fit for businesses of all sizes needing a no-code data preparation solution.
Dataprep integrates seamlessly with other Google Cloud services like BigQuery, Dataflow, and Dataproc. This allows for a smooth transition between data preparation, analysis, and processing. It also supports various data formats and sources, making it a versatile tool in a modern data stack.
How does Google Cloud Dataprep integrate with other tools?
Dataprep integrates seamlessly with other Google Cloud services like BigQuery, Dataflow, and Dataproc. This allows for a smooth transition between data preparation, analysis, and processing. It also supports various data formats and sources, making it a versatile tool in a modern data stack.
We find that alternatives to Google Cloud Dataprep include similar data preparation tools like SAS Data Preparation, SAS Data Quality, and other Google Cloud products like Datalab and Dataproc. For financial data, Rose AI is a strong competitor.
What the main competitors of Google Cloud Dataprep?
We find that alternatives to Google Cloud Dataprep include similar data preparation tools like SAS Data Preparation, SAS Data Quality, and other Google Cloud products like Datalab and Dataproc. For financial data, Rose AI is a strong competitor.
Yes, Google Cloud Dataprep is a legitimate product from Google Cloud. We find it's a safe and reliable tool for data preparation, used by many businesses for data analysis. It's a cloud-based service, so there's no need for server setup or code writing.
Is Google Cloud Dataprep legit?
Yes, Google Cloud Dataprep is a legitimate product from Google Cloud. We find it's a safe and reliable tool for data preparation, used by many businesses for data analysis. It's a cloud-based service, so there's no need for server setup or code writing.
We couldn't find pricing details for Google Cloud Dataprep. Contact Google Cloud sales for specific pricing information.
How much does Google Cloud Dataprep cost?
We couldn't find pricing details for Google Cloud Dataprep. Contact Google Cloud sales for specific pricing information.
Based on the reviews, Google Cloud's support and sales teams are generally considered active and helpful. However, some users mention that finding good documentation and implementation examples can be challenging, even in official resources.
Is Google Cloud Dataprep customer service good?
Based on the reviews, Google Cloud's support and sales teams are generally considered active and helpful. However, some users mention that finding good documentation and implementation examples can be challenging, even in official resources.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.