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Top 10 AWS Lake Formation Alternatives

Vendor: Amazon Web Services (AWS)
3.8 out of 5
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Top AWS Lake Formation Competitors

Discover the top alternatives and competitors to AWS Lake Formation based on the interviews we conducted with its users. The top alternative solutions include Azure Data Factory, Snowflake, and Microsoft Azure Synapse Analytics. The alternatives are sorted based on how often peers compare the solutions.

Amazon Web Services (AWS) Alternatives Report

Learn what solutions real users are comparing with Amazon Web Services (AWS), and compare use cases, valuable features, and pricing.
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Azure Data Factory
4.0 out of 5
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Azure Data Factory
4.0 out of 5
Azure Data Factory offers seamless integration with Azure services, suited for those deeply invested in the Azure ecosystem. In comparison, AWS Lake Formation provides robust features and efficient data lake management, appealing to organizations prioritizing comprehensive data functionalities and large-scale data handling capabilities.
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Azure Data Factory offers a competitive setup cost with customizable pricing, while AWS Lake Formation provides a straightforward pricing model with transparent fee structures, highlighting clear differences in initial investment strategies.
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Azure Data Factory offers a competitive setup cost with customizable pricing, while AWS Lake Formation provides a straightforward pricing model with transparent fee structures, highlighting clear differences in initial investment strategies.
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Snowflake
4.2 out of 5
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Snowflake
4.2 out of 5

Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

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Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
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Pricing
Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
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AWS Lake Formation Logo
Microsoft Azure Synapse Analytics
4.0 out of 5
Microsoft Azure Synapse Analytics offers competitive pricing and comprehensive support, appealing to budget-conscious buyers. In comparison, AWS Lake Formation's modular design and superior data cataloging suit those invested in AWS, though it might involve additional costs and requires familiarity with AWS services for optimal use.
Download AWS Lake Formation vs. Microsoft Azure Synapse Analytics Report
Microsoft Azure Synapse Analytics requires an upfront investment with customizable options, while AWS Lake Formation offers a more streamlined setup cost structure, highlighting a clear difference in initial expenses.
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Pricing
Microsoft Azure Synapse Analytics requires an upfront investment with customizable options, while AWS Lake Formation offers a more streamlined setup cost structure, highlighting a clear difference in initial expenses.
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BigQuery
4.1 out of 5
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BigQuery
4.1 out of 5
AWS Lake Formation is preferred for its data security, seamless AWS integration, and cost-effectiveness. In comparison, BigQuery attracts those seeking advanced analytics and rapid processing capabilities, despite potentially higher costs. These distinctions guide tech buyers towards tailored data management solutions.
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AWS Lake Formation typically incurs setup costs due to its intricate initial configuration, while BigQuery offers a simpler setup with integrated pricing models. AWS Lake Formation requires more initial investment in time and resources compared to BigQuery's streamlined approach.
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Pricing
AWS Lake Formation typically incurs setup costs due to its intricate initial configuration, while BigQuery offers a simpler setup with integrated pricing models. AWS Lake Formation requires more initial investment in time and resources compared to BigQuery's streamlined approach.
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AWS Lake Formation Logo
Oracle Autonomous Data Warehouse
4.3 out of 5
Oracle Autonomous Data Warehouse excels with built-in machine learning and high-performance analytics, ideal for organizations prioritizing automation. In comparison, AWS Lake Formation is preferred for managing vast data and centralized data lake features, appealing to those needing extensive data control and scalability.
Download AWS Lake Formation vs. Oracle Autonomous Data Warehouse Report
Oracle Autonomous Data Warehouse demands a higher initial setup cost compared to AWS Lake Formation, making AWS potentially more attractive for budget-conscious projects.
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Pricing
Oracle Autonomous Data Warehouse demands a higher initial setup cost compared to AWS Lake Formation, making AWS potentially more attractive for budget-conscious projects.

Related categories

Cloud Data Warehouse
Data Integration
Data Warehouse