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Compare IBM Db2 Warehouse on Cloud vs. Kovair Data Lake

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Also Known As
IBM dashDB
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IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

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/

      Learn more about IBM Db2 Warehouse on Cloud
      Learn more about Kovair Data Lake
      Sample Customers
      Copenhagen Business School, BPM Northwest, GameStop
      HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
      Top Industries
      Computer Software Company30%
      Comms Service Provider16%
      Financial Services Firm12%
      Insurance Company7%
      No Data Available
      Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
      542,721 professionals have used our research since 2012.

      IBM Db2 Warehouse on Cloud is ranked 11th in Cloud Data Warehouse with 1 review while Kovair Data Lake is ranked 27th in Data Warehouse. IBM Db2 Warehouse on Cloud is rated 5.0, while Kovair Data Lake is rated 0.0. The top reviewer of IBM Db2 Warehouse on Cloud writes "Good performance but poor scalability, and the technical support needs improvement". On the other hand, IBM Db2 Warehouse on Cloud is most compared with Snowflake, Amazon Redshift, IBM Netezza Performance Server, Microsoft Azure Synapse Analytics and Oracle Exadata, whereas Kovair Data Lake is most compared with SAP BW4HANA and Oracle Exadata.

      We monitor all Cloud 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.