Kovair Data Lake vs Microsoft Azure Synapse Analytics comparison

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Kovair Logo
62 views|53 comparisons
100% willing to recommend
Microsoft Logo
16,714 views|7,803 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Kovair Data Lake and Microsoft Azure Synapse Analytics based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Kovair Data Lake vs. Microsoft Azure Synapse Analytics Report (Updated: May 2024).
769,630 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 →

"The most valuable feature is performance gains.""The product is easy to use, and anybody can easily migrate to advanced DB.""Very interactive and provides flexibility.""The solution has been working well overall.""We have found that it is easy to develop and to do the analytics in the modules of data.""Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task.""The most valuable features of Microsoft Azure Synapse Analytics are the user experience because it is easy to make analyses, load different databases, and different resources. Our end users can do the analysis by themselves without IT supervising. This is a great aspect of the solution, it's better for our environment.""The most valuable feature is the scalability."

More Microsoft Azure Synapse Analytics 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 →

"They should automate some of the features. There are some things, such as the creation of external tables, that you have to do manually. They should be automated.""This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query.""It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training.""It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.""They should provide a less expensive version with a smaller setup for small businesses. Currently, its price is quite high for entry-level or small businesses. In terms of integration, new connectors are always welcomed.""Integration with other vendors has limitations and could be improved.""Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory.""The performance needs to improve in future releases."

More Microsoft Azure Synapse Analytics Cons →

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

  • "The price of this solution could be improved."
  • "The pricing is okay. You can pay as you go."
  • "This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version."
  • "When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
  • "The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • More Microsoft Azure Synapse Analytics 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:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:It is a highly stable solution and it's easy to use.
    Ranking
    18th
    out of 35 in Data Warehouse
    Views
    62
    Comparisons
    53
    Reviews
    1
    Average Words per Review
    193
    Rating
    8.0
    2nd
    Views
    16,714
    Comparisons
    7,803
    Reviews
    36
    Average Words per Review
    457
    Rating
    8.0
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    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/

        Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

        Microsoft Azure Synapse Analytics is built with these 4 components:

        1. Synapse SQL
        2. Spark
        3. Synapse Pipeline
        4. Studio

        Microsoft Azure Synapse Analytics Features

        Microsoft Azure Synapse Analytics has many valuable key features, including:

        • Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.

        • Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.

        • Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.

        • Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.

        • Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.

        • Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

        Microsoft Azure Synapse Analytics Benefits

        Some of the benefits of using Microsoft Azure Synapse Analytics include:

        • Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.

        • Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.

        • Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.

        • Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.

        • Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.

        • Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

        Reviews from Real Users

        Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

        PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

        Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

        A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."


        Sample Customers
        HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
        Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
        Top Industries
        No Data Available
        REVIEWERS
        Computer Software Company19%
        Financial Services Firm13%
        Manufacturing Company10%
        Comms Service Provider10%
        VISITORS READING REVIEWS
        Educational Organization32%
        Computer Software Company10%
        Financial Services Firm8%
        Manufacturing Company5%
        Company Size
        No Data Available
        REVIEWERS
        Small Business29%
        Midsize Enterprise18%
        Large Enterprise53%
        VISITORS READING REVIEWS
        Small Business14%
        Midsize Enterprise40%
        Large Enterprise46%
        Buyer's Guide
        Kovair Data Lake vs. Microsoft Azure Synapse Analytics
        May 2024
        Find out what your peers are saying about Kovair Data Lake vs. Microsoft Azure Synapse Analytics and other solutions. Updated: May 2024.
        769,630 professionals have used our research since 2012.

        Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews. Kovair Data Lake is rated 8.0, while Microsoft Azure Synapse Analytics is rated 7.8. 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 Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Kovair Data Lake is most compared with , whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata. See our Kovair Data Lake vs. Microsoft Azure Synapse Analytics report.

        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.