IBM Integrated Analytics System vs Kovair Data Lake comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Integrated Analytics System and Kovair Data Lake 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: March 2024).
765,386 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:
Pricing and Cost Advice
Information Not Available
  • "I rate the tool's pricing a five out of ten."
  • More Kovair Data Lake Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    765,386 professionals have used our research since 2012.
    Questions from the Community
    Ask a question

    Earn 20 points

    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.
    Ranking
    21st
    out of 33 in Data Warehouse
    Views
    403
    Comparisons
    328
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    18th
    out of 33 in Data Warehouse
    Views
    66
    Comparisons
    58
    Reviews
    1
    Average Words per Review
    193
    Rating
    8.0
    Comparisons
    Also Known As
    Smart Analytics System, IBM Smart Analytics System
    Learn More
    IBM
    Video Not Available
    Overview
    The IBM Smart Analytics System provides analytics capabilities on a data warehouse foundation. This integrated and optimized system combines advanced software with IBM server and storage hardware to address a range of analytics workloads and accelerate deployment to help achieve greater efficiency, lower cost and higher performance.

    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/

        Sample Customers
        WIdO AOK, EEKA Fashion, SSGC, GS Retail
        HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
        Top Industries
        VISITORS READING REVIEWS
        Financial Services Firm15%
        Manufacturing Company13%
        Computer Software Company11%
        Energy/Utilities Company9%
        No Data Available
        Company Size
        VISITORS READING REVIEWS
        Small Business9%
        Midsize Enterprise9%
        Large Enterprise81%
        No Data Available
        Buyer's Guide
        Data Warehouse
        March 2024
        Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
        765,386 professionals have used our research since 2012.

        IBM Integrated Analytics System is ranked 21st in Data Warehouse while Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews. IBM Integrated Analytics System is rated 8.0, while Kovair Data Lake is rated 8.0. The top reviewer of IBM Integrated Analytics System writes "They deliver a canned, scalable solution, but I would like to see the TSA scripts available publicly". On the other hand, the top reviewer of Kovair Data Lake writes "Ability to interact with teachers in real-time and manage lessons after class". IBM Integrated Analytics System is most compared with IBM Netezza Performance Server, Microsoft Azure Synapse Analytics, SAP IQ and Oracle Exadata, whereas Kovair Data Lake is most compared with Oracle Exadata.

        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.