Infobright DB and Kovair Data Lake are competing products in high-performance data storage and analytics. Infobright DB has an upper hand in pricing and support satisfaction, whereas Kovair Data Lake offers valuable integration features.
Features: Infobright DB features a columnar database architecture that optimizes query performance and reduces storage costs. It uses advanced technology for faster analytical query processing. Kovair Data Lake provides extensive integration capabilities, supports diverse data sources, and is tailored for complex data environments.
Ease of Deployment and Customer Service: Infobright DB offers simpler deployment with quick setup times and strong technical support focused on query efficiency. Kovair Data Lake provides a flexible deployment model for various IT infrastructures, requiring more initial configuration. Its support is adaptable to complex scenarios for maximizing integration.
Pricing and ROI: Infobright DB is appealing with lower setup costs and faster ROI due to reduced licensing fees and total cost of ownership. Kovair Data Lake, though potentially higher in initial cost, promises long-term ROI by enabling comprehensive data insights across enterprises. Infobright provides immediate cost advantages, while Kovair delivers significant value over time for complex data needs.
| Product | Market Share (%) |
|---|---|
| Infobright DB | 1.7% |
| Kovair Data Lake | 1.3% |
| Other | 97.0% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 2 |
Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data
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/
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