Compare Kognitio WX2 vs. Kovair Data Lake

Kognitio WX2 is ranked 24th in Data Warehouse while Kovair Data Lake which is ranked 29th in Data Warehouse. Kognitio WX2 is rated 0, while Kovair Data Lake is rated 0. On the other hand, Kognitio WX2 is most compared with Snowflake, whereas Kovair Data Lake is most compared with .
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Kognitio WX2 Logo
517 views|142 comparisons
Kovair Data Lake Logo
24 views|11 comparisons
Ranking
24th
out of 30 in Data Warehouse
Views
517
Comparisons
142
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
29th
out of 30 in Data Warehouse
Views
24
Comparisons
11
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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WX2
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Overview

Kognitio WX2 is an analytical Relational Database Management System (RDBMS), often referred to as a data warehouse database or in some cases a data warehouse appliance. WX2 is a software only product; it does not use a proprietary hardware platform or proprietary additions to achieve its very high performance. Instead, WX2 uses scalable arrays of low-cost industry-standard servers.

Although WX2 can scale down to very small systems, its very high performance and scalability makes it ideally suited for applications that involve very large data volumes and complex analysis.

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.

    Product Highlights:

    - 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/

      Offer
      Learn more about Kognitio WX2
      Learn more about Kovair Data Lake
      Sample Customers
      Aimia, Bed Bath & Beyond, bet365, Blueberry Wave, British Telecom, Ellerines, Everyclick, Nectar Italia, PlaceIQ, ScottishPower, Segmetrix, Tattershall Castle Group, Vocal Planet, VivaKi, Willard BishopHSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
      Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
      360,284 professionals have used our research since 2012.
      We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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