Kovair Data Lake vs Oracle Big Data Appliance comparison

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Kovair Logo
61 views|52 comparisons
100% willing to recommend
Oracle Logo
804 views|621 comparisons
71% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Kovair Data Lake and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
767,995 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities.""The most valuable feature is the ability to interact with teachers in real-time and manage lessons after class."

More Kovair Data Lake Pros →

"This is a comprehensive solution that is easy to deploy.""Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.""The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

More Oracle Big Data Appliance Pros →

Cons
"Maybe the chat conversation feature could be improved.""The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities."

More Kovair Data Lake Cons →

"The product should be simplified for the average user.""It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

More Oracle Big Data Appliance Cons →

Pricing and Cost Advice
  • "I rate the tool's pricing a five out of ten."
  • More Kovair Data Lake Pricing and Cost Advice →

  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities.
    Top Answer:The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities.
    Top Answer:I primarily use Kovair Data Lake for data analytics use cases. This involves data cleansing and gaining business intelligence.
    Top Answer:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    Ranking
    18th
    out of 34 in Data Warehouse
    Views
    61
    Comparisons
    52
    Reviews
    1
    Average Words per Review
    193
    Rating
    8.0
    12th
    out of 34 in Data Warehouse
    Views
    804
    Comparisons
    621
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Comparisons
    Learn More
    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

        Sample Customers
        HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
        Caixa Bank
        Top Industries
        No Data Available
        VISITORS READING REVIEWS
        Financial Services Firm22%
        Computer Software Company10%
        University9%
        Government6%
        Company Size
        No Data Available
        REVIEWERS
        Small Business14%
        Midsize Enterprise14%
        Large Enterprise71%
        VISITORS READING REVIEWS
        Small Business21%
        Midsize Enterprise13%
        Large Enterprise66%
        Buyer's Guide
        Data Warehouse
        April 2024
        Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
        767,995 professionals have used our research since 2012.

        Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Kovair Data Lake is rated 8.0, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Kovair Data Lake writes "Ability to interact with teachers in real-time and manage lessons after class". On the other hand, the top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Kovair Data Lake is most compared with Oracle Exadata, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics.

        See our list of best Data Warehouse vendors.

        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.