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Infobright DB vs Kovair Data Lake comparison

Ignite Technologies and Kovair are both solutions in the Data Warehouse category. Ignite Technologies is ranked #27, while Kovair is ranked #18 with an average rating of 8.0. Ignite Technologies holds a 0.5% mindshare in Data Warehouse, compared to Kovair’s 0.6% mindshare. Additionally, 80% of Ignite Technologies users are willing to recommend the solution, compared to 100% of Kovair users who would recommend it.
Infobright DB
Read 10 Infobright DB reviews
  • 73 Views
  • 47 Comparison Views
80% willing to recommend
Kovair Data Lake
Read 2 Kovair Data Lake reviews
  • 94 Views
  • 65 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

Infobright DB and Kovair Data Lake are competing products in high-performance data storage and analytics. Infobright DB has an upper hand in pricing and support satisfaction, whereas Kovair Data Lake offers valuable integration features.

Features: Infobright DB features a columnar database architecture that optimizes query performance and reduces storage costs. It uses advanced technology for faster analytical query processing. Kovair Data Lake provides extensive integration capabilities, supports diverse data sources, and is tailored for complex data environments.

Ease of Deployment and Customer Service: Infobright DB offers simpler deployment with quick setup times and strong technical support focused on query efficiency. Kovair Data Lake provides a flexible deployment model for various IT infrastructures, requiring more initial configuration. Its support is adaptable to complex scenarios for maximizing integration.

Pricing and ROI: Infobright DB is appealing with lower setup costs and faster ROI due to reduced licensing fees and total cost of ownership. Kovair Data Lake, though potentially higher in initial cost, promises long-term ROI by enabling comprehensive data insights across enterprises. Infobright provides immediate cost advantages, while Kovair delivers significant value over time for complex data needs.

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To learn more, read our detailed Infobright DB vs. Kovair Data Lake Report (Updated: April 2025).
Buyer's Guide
Infobright DB vs. Kovair Data Lake
April 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Infobright DB
Ranking in Data Warehouse
27th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (37th)
Kovair Data Lake
Ranking in Data Warehouse
18th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of Infobright DB is 0.5%, up from 0.1% compared to the previous year. The mindshare of Kovair Data Lake is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

SD
If you need a real big data solution, look for a distributed solution that actually has a proven track record.
This version of Infobright has zero support for distributed scalability. The internal smart grid employed for each table has a major flaw in that the data size cannot be expunged until 2GB of data is reached at the column-level. This is a major flaw, making usage in a big-data scenario impossible. This means that you can delete as many records from a database table as you want. However, unless the 2GB aggregate size threshold was reached for some of the columns in the table, no reduction in disk space usage will occur. Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk. I spent countless hours trying to find some workaround for this. I have nightmares of my e-mail inbox full of unsolvable questions about data size reduction from our field engineers.
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LuizKazan - PeerSpot reviewer
Ability to interact with teachers in real-time and manage lessons after class
The deployment process is very fast. We have prepared the product to be easily installed, and we have had successful cases where it could be implemented in less than a few weeks. Moreover, Around three or four people in a call center are involved in maintaining the solution. We have a project manager, a service manager, and at least two or three system analysts who handle the maintenance. If there are any issues, we can open a support ticket for them to address.
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"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."
 

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities."
"Maybe the chat conversation feature could be improved."
 

Pricing and Cost Advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
"I rate the tool's pricing a five out of ten."
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Kovair Data Lake?
The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities.
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What needs improvement with Kovair Data Lake?
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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What is your primary use case for Kovair Data Lake?
I primarily use Kovair Data Lake for data analytics use cases. This involves data cleansing and gaining business intelligence.
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Comparisons

No data available
No data available
 

Product Reports

Buyer's Guide
Infobright DB
April 2025
Infobright DB reportDownload Infobright DB product report
Buyer's Guide
Data Warehouse
April 2025
Kovair Data Lake reportDownload Kovair Data Lake product report
 

Also Known As

Infobright
No data available
 

Overview

Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

Ignite Technologies

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/

      Kovair
       

      Sample Customers

      REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
      HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
      Buyer's Guide
      Infobright DB vs. Kovair Data Lake
      April 2025
      Free Report: Infobright DB vs. Kovair Data Lake
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