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."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."
"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."
"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."
"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."
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.
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