Kovair Data Lake vs Vertica comparison

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Executive Summary

We performed a comparison between Kovair Data Lake and Vertica 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. Vertica Report (Updated: March 2024).
768,578 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 quick, has good compression data, and is not expensive.""I have found the solution to be scalable.""I like the projection feature, which increases query performance.""Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI.""Vertica gives knowledgeable users and DBAs excellent tools for tuning.""The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

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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."

More Kovair Data Lake Cons →

"Very bad support, I would rate it two out of 10.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.""We faced some challenges when trying to use the temporary tables feature.""It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale.""Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.""Suboptimal projection design causes queries to not scale linearly.""One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility.""Vertica can improve automation and documentation. Additionally, the solution can be simplified."

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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 →

  • "Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
  • "It's free up to three nodes and 1TB, and then get in contact with their sales guys."
  • "Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
  • "The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
  • "I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
  • "Read the fine print carefully."
  • "It is fast to purchase through the AWS Marketplace."
  • "The pricing and licensing depend on the size of your environment and the zone where you want to implement."
  • More Vertica 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 product's initial setup phase is extremely simple.
    Top Answer:In my opinion, nothing needs improvement in the solution as it is a great product. The documentation of Vertica is an area with shortcomings where improvements are required. Vertica needs to increase… more »
    Ranking
    18th
    out of 34 in Data Warehouse
    Views
    61
    Comparisons
    52
    Reviews
    1
    Average Words per Review
    193
    Rating
    8.0
    4th
    out of 34 in Data Warehouse
    Views
    4,276
    Comparisons
    3,331
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    Snowflake logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    Amazon Redshift logo
    Compared 11% of the time.
    Teradata logo
    Compared 10% of the time.
    Oracle Exadata logo
    Compared 7% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    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/

        Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.

        In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.

        Vertica Benefits:

        Vertica has many valuable key benefits. Some of its most useful benefits include:

        • Efficiency:  Vertica provides robust compression and intuitive impressions. This results in users requiring significantly less storage and hardware than other comparable data analytics solutions. The progressive Vertica architecture results in queries that are 10-50 times faster than other platforms while providing more storage data per server.
        • Integration: Each new iteration of Vertica is tested and certified with the latest ETL and visualization tools. It actively supports Java Database Connectivity (JDBC), Open Database Connectivity (ODBC), and popular SQL providers. All these solutions and most leading BI and visualization tools interact seamlessly, making Vertica overall a very cost-effective solution and solid business investment.
        • Cloud flexibility: With Vertica, users do not have to get locked into a single cloud vendor. Users are able to take complete advantage of the current infrastructure that is already in place. Vertica seamlessly integrates with popular public clouds, including Google Cloud Platform (GCP), Azure, AWS, Alibaba, VMware clouds, and more. It also provides for easy portability across on-premise and multi-cloud environments and data lakes. Vertica designs a robust flexible platform for running a company’s analytical and computing workloads, which allows applications to run simultaneously on numerous environments in a hybrid cloud infrastructure. Vertica is able to seamlessly use public clouds and private data centers, and it grants the flexibility to switch in an instant.
        • Security: Vertica offers dynamic end-to-end security with support for partner solutions and industry-standard protocols such as Apache Sentry, AWS IAM, Kerberos, LDAP, and more. Vertica utilizes an intuitive layered security model that provides multiple security authentication authorization mechanisms. Vertica will also maintain an audit trail, natively exported to other security domains for analysis and persistence. 

        Reviews from Real Users

        “I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions

        “The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.” - Munkhsaikhan B.,  Project Lead - Digital Transformation Unit at Bodi Electronics LLC

        Sample Customers
        HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
        Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
        Top Industries
        No Data Available
        REVIEWERS
        Computer Software Company19%
        Media Company17%
        Marketing Services Firm14%
        Comms Service Provider11%
        VISITORS READING REVIEWS
        Financial Services Firm18%
        Computer Software Company15%
        Manufacturing Company8%
        Comms Service Provider6%
        Company Size
        No Data Available
        REVIEWERS
        Small Business32%
        Midsize Enterprise26%
        Large Enterprise42%
        VISITORS READING REVIEWS
        Small Business20%
        Midsize Enterprise14%
        Large Enterprise66%
        Buyer's Guide
        Kovair Data Lake vs. Vertica
        March 2024
        Find out what your peers are saying about Kovair Data Lake vs. Vertica and other solutions. Updated: March 2024.
        768,578 professionals have used our research since 2012.

        Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. Kovair Data Lake is rated 8.0, while Vertica 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 Vertica writes " A user-friendly tool that needs to improve its documentation part". Kovair Data Lake is most compared with Oracle Exadata, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Kovair Data Lake vs. Vertica 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.