We performed a comparison between AWS Lake Formation and IBM Db2 Warehouse 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."
"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."
"The solution has many features that are applicable to events such as audits."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"Provides good security and reliability."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."
"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."
"The analytics engine is not bad at forecasting predictions."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"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."
"AWS Lake Formation's pricing could be cheaper."
"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."
"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."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."
"There should be more material available for training and training should be free."
"Lacks sufficient documentation and particularly in Spanish."
"IBM Db2 Warehouse needs to improve its interface."
"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."
AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while IBM Db2 Warehouse is ranked 14th in Data Warehouse with 8 reviews. AWS Lake Formation is rated 7.6, while IBM Db2 Warehouse is rated 7.6. 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 IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and BigQuery, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and IBM Db2 Warehouse on Cloud. See our AWS Lake Formation vs. IBM Db2 Warehouse report.
See our list of best Cloud Data Warehouse vendors.
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