Oracle Big Data Appliance and Kovair Data Lake compete in scalable data management solutions. Oracle has an advantage in pricing and support for enterprises prioritizing service, while Kovair excels with innovative tools and features.
Features: Oracle Big Data Appliance offers high-performance analytics, seamless integration with Oracle's ecosystem, and robust security. Kovair Data Lake presents versatile data integration capabilities, real-time processing, and an agile platform adaptable for various data needs.
Ease of Deployment and Customer Service: Oracle Big Data Appliance ensures a straightforward deployment with comprehensive support throughout implementation, leveraging its ecosystem for efficiency. Kovair Data Lake provides a flexible deployment for hybrid environments with personalized customer service and tailored solutions.
Pricing and ROI: Oracle Big Data Appliance requires significant initial investment costs but delivers ROI through integrated solutions and efficiencies. Kovair Data Lake has competitive setup costs, with effective features and adaptability offering marked ROI, especially for businesses focusing on data integration and real-time analytics.
| Product | Market Share (%) |
|---|---|
| Oracle Big Data Appliance | 2.0% |
| Kovair Data Lake | 1.3% |
| Other | 96.7% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
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/
Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.
For more information on Oracle Big Data Appliance, visit Oracle.com
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