Top 10 Microsoft Parallel Data Warehouse Alternatives

3.9 out of 5

38 reviews
87% willing to recommend

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Top Microsoft Parallel Data Warehouse Competitors

Discover the top alternatives and competitors to Microsoft Parallel Data Warehouse based on the interviews we conducted with its users. The top alternative solutions include Teradata, Snowflake, and Oracle Exadata. The alternatives are sorted based on how often peers compare the solutions. Microsoft Parallel Data Warehouse surpasses its competitors by offering unmatched scalability and blazing-fast query performance, supported by massively parallel processing architecture and seamless integration with a wide range of SQL Server tools and Microsoft ecosystem services.

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Teradata

4.1 out of 5

Teradata

4.1 out of 5

Microsoft Parallel Data Warehouse is favored for ease of use and integration with Microsoft tools, offering strong data integrity. In comparison, Teradata excels in scalability and advanced analytics, appealing for handling large data volumes. Each solution provides significant value for tech buyers.

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Pricing

The setup cost for Microsoft Parallel Data Warehouse is lower than Teradata, offering cost efficiency. Teradata, however, may involve higher initial expenses reflecting its broader feature set.

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Pricing

The setup cost for Microsoft Parallel Data Warehouse is lower than Teradata, offering cost efficiency. Teradata, however, may involve higher initial expenses reflecting its broader feature set.

Snowflake

4.2 out of 5

Snowflake

4.2 out of 5

Microsoft Parallel Data Warehouse provides powerful performance for data handling and extensive infrastructure, appealing to enterprises with large datasets. In comparison, Snowflake offers scalability and flexibility with usage-based pricing, suitable for businesses requiring integration across formats and cloud deployment.

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Pricing

Microsoft Parallel Data Warehouse has a reportedly high setup cost, while Snowflake is known for its lower initial expense. Users often highlight Snowflake's cost efficiency, contrasting it with Microsoft's more substantial upfront investment.

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Pricing

Oracle Exadata

4.3 out of 5

Oracle Exadata

4.3 out of 5

Microsoft Parallel Data Warehouse integrates well with existing Microsoft tools, offering cost-effective solutions for large data volumes. In comparison, Oracle Exadata excels in performance with features like Smart Scan but presents higher costs, making it suitable for environments prioritizing performance over budget constraints.

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Pricing

Microsoft Parallel Data Warehouse has a straightforward setup cost, while Oracle Exadata requires a higher investment due to its robust infrastructure.

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Pricing

Microsoft Parallel Data Warehouse has a straightforward setup cost, while Oracle Exadata requires a higher investment due to its robust infrastructure.

SAP BW4HANA

3.8 out of 5

SAP BW4HANA

3.8 out of 5

Microsoft Parallel Data Warehouse enhances performance and cost efficiency in managing large datasets with SQL compatibility. In comparison, SAP BW4HANA excels in real-time processing and ERP integration, offering benefits for SAP-focused environments despite higher pricing and complex migration challenges.

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Pricing

Microsoft Parallel Data Warehouse has a higher setup cost compared to SAP BW4HANA, which offers a more cost-efficient installation.

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Pricing

Microsoft Parallel Data Warehouse has a higher setup cost compared to SAP BW4HANA, which offers a more cost-efficient installation.

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