Compare Kovair Data Lake vs. Oracle Big Data Appliance

Kovair Data Lake is ranked 30th in Data Warehouse while Oracle Big Data Appliance is ranked 14th in Data Warehouse with 2 reviews. Kovair Data Lake is rated 0, while Oracle Big Data Appliance is rated 8.0. On the other hand, the top reviewer of Oracle Big Data Appliance writes "End-users can build the reports by themselves without really knowing anything about databases". Kovair Data Lake is most compared with , whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop and Teradata.
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Ranking
30th
out of 31 in Data Warehouse
Views
41
Comparisons
21
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
14th
out of 31 in Data Warehouse
Views
1,467
Comparisons
1,125
Reviews
2
Average Words per Review
477
Avg. Rating
8.0
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Kovair
Oracle
Overview

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/

      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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      Sample Customers
      HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, HoneywellCaixa Bank
      Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2020.
      408,459 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.