Top 10 AWS Lake Formation Alternatives

Name: AWS Lake Formation
Brand: Amazon Web Services (AWS)
Rating: 4.0 (21 reviews)

Vendor: Amazon Web Services (AWS)

4.0 out of 5

21 reviews
85% willing to recommend

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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 Databricks, Teradata, and Azure Data Factory. The alternatives are sorted based on how often peers compare the solutions.

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Databricks

4.1 out of 5

Databricks

4.1 out of 5

Databricks is a platform for large-scale data processing, analytics, and machine learning. Organizations use it for ETL, real-time streaming, and big data management across Azure and AWS. Features include user-friendly interface, Delta Lake data transformation, flexibility with multiple languages, and collaborative notebooks, enhancing productivity and team collaboration.

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Pricing

Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.

I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.

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Pricing

Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.

I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.

Teradata

4.1 out of 5

Teradata

4.1 out of 5

Teradata is ideal for handling large structured data sets due to its robust scalability and real-time query execution. In comparison, AWS Lake Formation integrates within AWS, offering centralized data management and improved team collaboration. Both face specific challenges with cloud capabilities and integration.

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Teradata has a higher setup cost, while AWS Lake Formation offers a more budget-friendly alternative.

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Pricing

Teradata has a higher setup cost, while AWS Lake Formation offers a more budget-friendly alternative.

Azure Data Factory

4.0 out of 5

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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Snowflake

4.2 out of 5

Snowflake

4.2 out of 5

Snowflake offers dynamic scalability and robust data handling, appealing to tech buyers seeking flexibility and performance. In comparison, AWS Lake Formation, tightly integrated into the AWS ecosystem, attracts those prioritizing reliable security and seamless integration. Both cater to specific needs effectively.

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Pricing

Snowflake's setup cost offers a straightforward pricing model, whereas AWS Lake Formation provides flexibility with a pay-as-you-go structure, highlighting a clear difference in initial investment approach.

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Dremio

4.2 out of 5

Dremio

4.2 out of 5

Dremio supports Apache Airflow and integrates with Amazon S3, offering flexibility. In comparison, AWS Lake Formation excels in data management within the AWS ecosystem. Dremio scales effectively, while AWS provides comprehensive security. Each suits different ecosystems and specific business needs.

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Pricing

Dremio has a straightforward setup cost, while AWS Lake Formation may involve more complex setup fees.

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Pricing

Dremio has a straightforward setup cost, while AWS Lake Formation may involve more complex setup fees.

Microsoft Azure Synapse Analytics

3.9 out of 5

Microsoft Azure Synapse Analytics

3.9 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.

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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

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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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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Oracle Autonomous Data Warehouse

4.2 out of 5

Oracle Autonomous Data Warehouse

4.2 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.

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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.

Snowflake Analytics

4.2 out of 5

Snowflake Analytics

4.2 out of 5

AWS Lake Formation supports seamless data lake creation with fine-grained access control. In comparison, Snowflake Analytics excels in scalability and cross-cloud integration, appealing to those prioritizing advanced analytics. AWS users may prefer Lake Formation, while Snowflake attracts those seeking performance across varied cloud platforms.

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Pricing

AWS Lake Formation offers a cost-efficient setup, while Snowflake Analytics requires a higher investment for initial deployment. The significant difference in upfront costs may influence organizational budgeting considerations when comparing these data management solutions.

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Related categories

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Data Management Platforms (DMP)