AWS Lake Formation vs BigQuery comparison

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Executive Summary

We performed a comparison between AWS Lake Formation and BigQuery based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Lake Formation vs. BigQuery Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients.""The solution is quite good at handling analytics. It's done a good job at helping us centralize them.""It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.""The solution has many features that are applicable to events such as audits.""We use AWS Lake Formation typically for the data warehouse."

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"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions.""The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements.""When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option.""BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights.""The query tool is scalable and allows for petabytes of data.""The setup is simple.""I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data.""The most valuable features of BigQuery is that it supports standard SQL and provides good performance."

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Cons
"AWS Lake Formation's pricing could be cheaper.""The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant.""It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data.""In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support.""For the end-users, it's not as user-friendly as it could be."

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"The solution should reduce its pricing.""The processing capability can be an area of improvement.""It would be beneficial to integrate additional tools, particularly from a business intelligence perspective.""I rate BigQuery six out of 10 for affordability. It could be cheaper.""The main challenges are in the areas of performance and cost optimizations.""For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options.""The solution hinges on Google patterns so continued improvement is important.""I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."

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Pricing and Cost Advice
  • "AWS Lake Formation is a bit expensive."
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  • "I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
  • "BigQuery is inexpensive."
  • "One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
  • "The price is a bit high but the technology is worth it."
  • "The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
  • "The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
  • "BigQuery pricing can increase quickly. It's a high-priced solution."
  • "The pricing is good and there are no additional costs involved."
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    Questions from the Community
    Top Answer:It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.
    Top Answer:There are significant challenges when dealing with external applications, and vendors, or pursuing a hybrid cloud strategy because AWS Lake Formation is specific to AWS and does not integrate… more »
    Top Answer:The most valuable features of BigQuery is that it supports standard SQL and provides good performance.
    Top Answer:The solution's pricing is cheaper compared to other solutions. On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a two or three out of ten.
    Top Answer:The main challenges are in the areas of performance and cost optimizations. Achieving optimal results demands a certain level of familiarity with the platform's internals. The key point for… more »
    Ranking
    12th
    Views
    5,372
    Comparisons
    4,442
    Reviews
    1
    Average Words per Review
    578
    Rating
    6.0
    5th
    Views
    3,497
    Comparisons
    2,548
    Reviews
    30
    Average Words per Review
    507
    Rating
    8.1
    Comparisons
    Learn More
    Overview

    AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

    BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company5%
    REVIEWERS
    Financial Services Firm11%
    Computer Software Company11%
    Comms Service Provider11%
    Transportation Company6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm13%
    Manufacturing Company10%
    Retailer7%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business32%
    Midsize Enterprise21%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    AWS Lake Formation vs. BigQuery
    March 2024
    Find out what your peers are saying about AWS Lake Formation vs. BigQuery and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while BigQuery is ranked 5th in Cloud Data Warehouse with 30 reviews. AWS Lake Formation is rated 7.6, while BigQuery is rated 8.2. The top reviewer of AWS Lake Formation writes "Strategically aligning data management in a multi-cloud environment with significant reporting challenges". On the other hand, the top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and Amazon EMR, whereas BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and Oracle Exadata. See our AWS Lake Formation vs. BigQuery report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.