Top 10 Microsoft Parallel Data Warehouse Alternatives

3.9 out of 5

37 reviews
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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 scalable data warehousing solutions with fast query performance, seamless integration with SQL Server, and advanced security features, making it ideal for large enterprises seeking robust data analytics capabilities.

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Teradata

4.1 out of 5

Teradata

4.1 out of 5

Microsoft Parallel Data Warehouse enhances data loading performance and integrates with the Microsoft ecosystem, offering cost-effectiveness and business intelligence capabilities. In comparison, Teradata provides scalability and advanced analytics, excelling in data mining and temporal analytics despite a higher cost.

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Pricing

Microsoft Parallel Data Warehouse features a complex setup process with high initial costs, contrasting with Teradata's more straightforward and cost-effective setup. These distinct pricing structures highlight the differences in infrastructure and support requirements.

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Pricing

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.

VMware Tanzu Data Solutions

4.0 out of 5

VMware Tanzu Data Solutions

4.0 out of 5

Microsoft Parallel Data Warehouse excels in high-speed data handling and integrates smoothly with Microsoft systems, offering a strong ROI for large data. In comparison, VMware Tanzu Data Solutions provide cost-effective scalability and strong analytics, ideal for open-source, data-heavy environments.

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Pricing

Microsoft Parallel Data Warehouse incurs high initial setup costs, while VMware Tanzu Data Solutions presents a more moderate expense, making VMware an attractive choice for those cautious of initial financial investments.

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Pricing

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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