Microsoft Parallel Data Warehouse and Kovair Data Lake are competitive in data management. Kovair Data Lake holds the upper hand due to its advanced features, appealing to feature-oriented buyers.
Features: Microsoft Parallel Data Warehouse offers scalability, integration with Microsoft tools, and robust analytics capabilities. Kovair Data Lake provides flexibility in handling diverse data types, real-time processing, and a comprehensive feature set for complex data environments.
Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse has a streamlined deployment process supported by Microsoft's infrastructure. Kovair Data Lake offers flexible deployment options, including cloud-based solutions, and emphasizes personalized support for tailored assistance.
Pricing and ROI: Microsoft Parallel Data Warehouse presents cost-effective pricing with a clear ROI path, especially for businesses in the Microsoft ecosystem. Kovair Data Lake, while having higher initial costs, achieves significant ROI through efficient handling of complex data scenarios for long-term value.
| Product | Market Share (%) |
|---|---|
| Microsoft Parallel Data Warehouse | 1.7% |
| Kovair Data Lake | 1.3% |
| Other | 97.0% |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 6 |
| Large Enterprise | 22 |
Kovair Data Lake is a central database that comes with SQL server support. This makes it capable of storing data from multiple projects residing in diversified tools used by an organization. Based on organizational needs, the stored data is then segregated by departments or business units. Kovair Data Lake also comes with a very intuitive UI interface for managing and monitoring of the Data Lake.
Many organizations use enterprise data warehouses to meet both operational and reporting needs. However, apart from offering a storage and management facilities, there are certain limitations that organizations continue to face. These are –
- Real-time synchronization of data within a centralized data storage
- Traceability and governance of stored data
- Low-cost storage infrastructure compared to Big Data or Data Warehouse
- Handling of low volume but highly diversified data
- Prescriptive analytics that will aid in taking data-driven decisions and on-time service delivery
Kovair has been a market leader in the domain of data integration with a marquee of clients from networking, semiconductor, telecom, manufacturing, banking and finance. Over the recent years, it has witnessed a shift in focus for organizations using multiple tools and different teams. While Kovair Omnibus provides the support for features like traceability, cross tool reporting, and task-based workflow that is simply not enough! Customers today are looking for central data store where data coming from different tools used in an organization could be accumulated in its native format.
Data Lake presents a low-cost alternative to exploding storage and processing costs of traditional warehouses.
While traditional data warehouses store data in hierarchical format. Data Lake offers a central database repository with a flat architecture for storing the data. This protects the data from unwanted manipulation, enabling businesses to take informed decisions accurately and building a better business-customer relationship.
- Large Data Repository for Central Administration
- Tool Extractors with WS/SQL Communication Support
- Web-based Data Lake Portal
More details - https://www.kovair.com/data-lake/
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
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