"The solution has many features that are applicable to events such as audits."
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"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."
"Great scalability and near zero maintenance."
"The speed of data loading and being able to quickly create the environment are most valuable."
"The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also."
"Snowflake has a variety of other ETL provisions that they provide. You can use your own ETL pipeline. Additionally, they provide adapters, and they are always evolving, it is a well-developed solution."
"The Time Travel feature is helpful for accessing historical data and the ability to clone external tables is useful."
"The solution is very easy to use."
"Its performance is most valuable. As compared to SQL Server, we are able to see a significant improvement in performance with Snowflake."
"It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
"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 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."
"They don't have any SLAs in place. It would be better if they did."
"We would like to see more security including more masking and more encryption at the database level."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"It would be better if they had a data profile tool that tells me where the gaps are in my time series data."
"They should improve the reporting tools."
"There could be better ELT tools that are appropriate for Snowflake. We decided on Matillion and it seemed to be the only one. There need to be better choices, it would be great if Snowflake provided an ELT solution that people could use. Additionally, if there was a pure cloud-based ELT tool it would be useful."
"The solution needs more connectors."
"I would like to see a client version of the GUI."
Earn 20 points
AWS Lake Formation is ranked 9th in Cloud Data Warehouse with 3 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 49 reviews. AWS Lake Formation is rated 8.0, while Snowflake is rated 8.4. The top reviewer of AWS Lake Formation writes "Good security, excellent online resources and easy to set up". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". AWS Lake Formation is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, Amazon Redshift, Amazon EMR and Apache Hadoop, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Vertica, Teradata and Oracle Exadata. See our AWS Lake Formation vs. Snowflake report.
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