Infobright DB vs Vertica comparison

Ignite Technologies and OpenText are both solutions in the Data Warehouse category. Ignite Technologies is ranked #27, while OpenText is ranked #5 with an average rating of 8.0. Ignite Technologies holds a 0.5% mindshare in Data Warehouse, compared to OpenText’s 8.5% mindshare. Additionally, 80% of Ignite Technologies users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

Infobright DB

Read 10 Infobright DB reviews

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47 Comparison Views

80% willing to recommend

Vertica

Read 86 Vertica reviews

2,233 Views
1,718 Comparison Views

91% willing to recommend

Infobright DB

Vertica

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Executive SummaryUpdated on Dec 18, 2024

Infobright DB and Vertica compete in the data warehouse market, each offering unique advantages. Infobright DB is notable for its cost-effectiveness and simplicity, while Vertica provides superior performance and advanced analytics capabilities, making it ideal for businesses seeking analytical power.

Features: Infobright DB offers a lightweight architecture with efficient structured data analysis, fast insights with minimal hardware, and straightforward usage similar to MySQL, which is ideal for smaller to medium businesses. Vertica comes with a massively parallel processing architecture, high-speed analytics, external procedure support in C, Java, and R, as well as advanced indexing techniques which are particularly beneficial for complex data environments.

Room for Improvement: Infobright DB could benefit from enhanced scalability options, more robust data handling for larger enterprises, and improved support for unstructured data. Vertica might improve by offering simpler deployment options, reducing its initial setup complexity, and providing enhanced integration features for broader data sources.

Ease of Deployment and Customer Service: Infobright DB enables rapid deployment with minimal technical overhead, favored by businesses for its simplicity. Vertica, though demanding more setup effort, supports diverse environments and offers strong documentation and customer support, making it suitable for enterprise-scale deployments.

Pricing and ROI: Infobright DB is a cost-effective solution with lower setup costs and rapid ROI for small to mid-sized businesses. Vertica involves a higher initial investment but offers a feature-rich platform with potential high returns in data-intensive operations, justifying its cost for those needing advanced analytics.

To learn more, read our detailed Infobright DB vs. Vertica Report (Updated: April 2025).

Buyer's Guide

Infobright DB vs. Vertica

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

Ranking in other categories

Relational Databases Tools (37th)

Vertica

Ranking in Data Warehouse

5th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (11th)

Mindshare comparison

As of May 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 Vertica is 8.5%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

Steve Dodge

Senior System Architect - Resiliency Engineering at AT&T

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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T Venkatesh

Deputy Manager at ICICIBANK Ltd

Processes query faster through multiple systems simultaneously, but it could support different data types

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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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"

"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."

"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."

"The most valuable feature of Vertica is the unmatchable database performance."

"The solution is quick, has good compression data, and is not expensive."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."

"Speed and resiliency are probably the best parts of this product."

"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."

More Vertica pros

Cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

"Support is an area where it could get better."

"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."

"The biggest problem is the cost of cloud deployment."

"The integration with AI has room for improvement."

"Whatever's out, the core is not always as great as the engine, especially their first version."

"Limitations in group by projections is where I would like to see an improvement."

"It needs integration with multiple clouds."

"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."

More Vertica cons

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."

"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October)."

"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."

"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."

"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."

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."

"The price of Vertica is less expensive than some competitors, such as Teradata."

"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."

"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."

More Vertica pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Computer Software Company

18%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

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What is your experience regarding pricing and costs for Vertica?

The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.

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What needs improvement with Vertica?

The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.

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Comparisons

No data available

SQL Server vs Vertica

Compared 14% of the time

Teradata vs Vertica

Compared 12% of the time

Oracle Exadata vs Vertica

Compared 9% of the time

Snowflake vs Vertica

Compared 9% of the time

BigQuery vs Vertica

Compared 9% of the time

More Vertica Competitors

Product Reports

Buyer's Guide

Infobright DB

April 2025

Download Infobright DB product report

Buyer's Guide

Vertica

April 2025

Download Vertica product report

Also Known As

Infobright

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

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

Ignite Technologies

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

OpenText

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

Buyer's Guide

Infobright DB vs. Vertica

April 2025

Free Report: Infobright DB vs. Vertica

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