We performed a comparison between AWS Lake Formation and Vertica 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."We use AWS Lake Formation typically for the data warehouse."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"The solution has many features that are applicable to events such as audits."
"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."
"I enjoy the cybersecurity and backup features."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The most valuable feature is Vertica's performance and the ease of using the database."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The solution is quick, has good compression data, and is not expensive."
"Its projections and encoding are excellent tools for tuning large volumes."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"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."
"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."
"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."
"AWS Lake Formation's pricing could be cheaper."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"When it is about to reach the maximum storage capacity, it becomes slow."
AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while Vertica is ranked 6th in Cloud Data Warehouse with 82 reviews. AWS Lake Formation is rated 7.6, while Vertica is rated 8.4. 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 Vertica writes " A user-friendly tool that needs to improve its documentation part". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and BigQuery, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our AWS Lake Formation vs. Vertica report.
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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.
