Kovair Data Lake vs Snowflake comparison

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Kovair Logo
61 views|52 comparisons
100% willing to recommend
Snowflake Computing Logo
12,290 views|6,971 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Kovair Data Lake and Snowflake 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. Snowflake Report (Updated: March 2024).
768,740 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 most valuable feature is the ability to interact with teachers in real-time and manage lessons after class.""The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities."

More Kovair Data Lake Pros →

"The solution is very stable.""The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also.""From a data warehouse perspective, it's an excellent all-round solution. It's very complete.""It is very fast and the performance is great.""My company wanted to have all our data in one single place and this what we use Snowflake for. Snowflake also allows us to build connectors to different data sources.""It is a highly scalable solution. There is no limit on storage or computing.""The solution's customer service is good.""Snowflake's most valuable features are data enrichment and flattening."

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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."

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"For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft.""There are always a few operation updates here and there that can be made.""Room for improvement would be writebacks. It doesn't support extensively writing back to the database, and it doesn't support web applications effectively. Ultimately, it's a database call, so if we are building web applications using Snowflake, it isn't that effective because there is some turnaround time from the database.""The complexity of the initial setup of Snowflake depends on the use case. However, Snowflake itself, we don't set it up. The difficulty comes from the ingestion patterns, depending on what data I'm putting in, what kind of enrichment, and what additional value we have to add. However, it does tend to get complex because we have a lot of semi-structured data which we need to handle in Snowflake. There have been some challenges.""Currently, Snowflake doesn't support unstructured data.""It needs a bit more rigor and governance, which is something you don't get with newer tools. This makes it less enterprise scalable. Its governance and structure can be enhanced, which would really be valuable. I would like to see some kind of prebuilt functionality in terms of having almost like a pre-built data warehouse. A functionality for generating automated kind of pieces would be good.""The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data.""The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures. You have to write in JavaScript. If they supported SQL language and stored procedures, it would make migration from on-prem much simpler. In most cases, if an on-prem solution has stored procedures, they're usually written in SQL. They're not written as what most on-prem DBMS would refer to as an external stored procedure, which is what these feel like to most people because they're written in a language outside of SQL."

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

  • "Pricing can be confusing for customers."
  • "The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
  • "You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
  • "It is not cheap."
  • "The pricing for Snowflake is competitive."
  • "On average, with the number of queries that we run, we pay approximately $200 USD per month."
  • "Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
  • "The price of Snowflake is very reasonable."
  • More Snowflake 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:The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
    Top Answer:The real-time streaming feature is limited with Snowflake and could be improved. Currently, Snowflake doesn't support unstructured data. With Snowflake, you need to be very particular about the type… more »
    Ranking
    18th
    out of 34 in Data Warehouse
    Views
    61
    Comparisons
    52
    Reviews
    1
    Average Words per Review
    193
    Rating
    8.0
    1st
    out of 34 in Data Warehouse
    Views
    12,290
    Comparisons
    6,971
    Reviews
    36
    Average Words per Review
    464
    Rating
    8.3
    Comparisons
    Also Known As
    Snowflake Computing
    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/

        Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

        Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.

        Its platform is made up of three components:

        1. Cloud services - Snowflake uses ANSI SQL to empower users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
        2. Query processing - Snowflake's compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses does not compete for computing resources, nor do they affect the performance of each other.
        3. Database storage - Snowflake automatically manages all parts of the data storage process, including file size, compression, organization, structure, metadata, and statistics.

        Snowflake has many valuable vital features. Some of the most useful ones include:

        • Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports unlimited concurrent users and workloads, from interactive to batch.
        • Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
        • With seamless cross-cloud and cross-region connections, Snowflake eliminates ETL and data silos. Anyone who needs access to shared secure data can get a single copy via the data cloud. In addition, Snowflake makes remote collaboration and decision-making fast and easy via a single shared data source.
        • Snowflake’s Data Marketplace offers third-party data, which allows you to connect with Snowflake customers to extend workflows with data services and third-party applications.

        There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.

          Below are quotes from interviews we conducted with users currently using the Snowflake solution:

          Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."

          A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."

          A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."

          Sample Customers
          HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
          Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
          Top Industries
          No Data Available
          REVIEWERS
          Computer Software Company29%
          Financial Services Firm20%
          Healthcare Company6%
          Manufacturing Company6%
          VISITORS READING REVIEWS
          Educational Organization26%
          Financial Services Firm13%
          Computer Software Company10%
          Manufacturing Company6%
          Company Size
          No Data Available
          REVIEWERS
          Small Business24%
          Midsize Enterprise20%
          Large Enterprise55%
          VISITORS READING REVIEWS
          Small Business15%
          Midsize Enterprise34%
          Large Enterprise51%
          Buyer's Guide
          Kovair Data Lake vs. Snowflake
          March 2024
          Find out what your peers are saying about Kovair Data Lake vs. Snowflake and other solutions. Updated: March 2024.
          768,740 professionals have used our research since 2012.

          Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Snowflake is ranked 1st in Data Warehouse with 92 reviews. Kovair Data Lake is rated 8.0, while Snowflake is rated 8.4. 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 Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Kovair Data Lake is most compared with Oracle Exadata, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our Kovair Data Lake vs. Snowflake 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.