Infobright vs. Vertica

As of June 2019, Infobright is ranked 8th in Relational Databases with 7 reviews vs Vertica which is ranked 3rd in Data Warehouse with 12 reviews. The top reviewer of Infobright writes "If you need a real big data solution, look for a distributed solution that actually has a proven track record". The top reviewer of Vertica writes "The architecture means it can process/ingest data in parallel to reporting and analyzing because of in-memory Write-Optimized Storage alongside the analytics optimized Read-Optimized Storage". Infobright is most compared with Pivotal Greenplum, Vertica and Citus Data. Vertica is most compared with Apache Hadoop, Amazon Redshift and Pivotal Greenplum. See our Infobright vs. Vertica report.
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Infobright Logo
3,519 views|543 comparisons
Vertica Logo
29,386 views|8,135 comparisons
Most Helpful Review
Find out what your peers are saying about Infobright vs. Vertica and other solutions. Updated: May 2019.
346,972 professionals have used our research since 2012.
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

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Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.It maximize cloud economics for mission-critical big data analytical initiatives.It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics.Any novice user can tune vertical queries with minimal training (or no training at all).Vertica gives knowledgeable users and DBAs excellent tools for tuning.Its projections and encoding are excellent tools for tuning large volumes.

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

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Support is an area where it could get better.Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.It needs integration with multiple clouds.It should provide a GUI interface for data management and tuning.Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.It would be great if this were a managed service in AWS.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.

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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.

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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.Read the fine print carefully.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.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.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.It's free up to three nodes and 1TB, and then get in contact with their sales guys.

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report
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346,972 professionals have used our research since 2012.
Ranking
8th
Views
3,519
Comparisons
543
Reviews
7
Average Words per Review
426
Avg. Rating
7.1
3rd
out of 30 in Data Warehouse
Views
29,386
Comparisons
8,135
Reviews
12
Average Words per Review
333
Avg. Rating
8.8
Top Comparisons
Compared 32% of the time.
Compared 21% of the time.
Compared 14% of the time.
Compared 12% of the time.
Compared 12% of the time.
Compared 11% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
Ignite Technologies
Micro Focus
Overview

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

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

Offer
Learn more about Infobright
Learn more about Vertica
Sample Customers
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, BangoCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
No Data Available
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Comms Service Provider33%
Financial Services Firm25%
Health, Wellness And Fitness Company7%
Energy/Utilities Company5%
Company Size
REVIEWERS
Small Business70%
Midsize Enterprise10%
Large Enterprise20%
REVIEWERS
Small Business30%
Midsize Enterprise24%
Large Enterprise46%
VISITORS READING REVIEWS
Small Business38%
Midsize Enterprise16%
Large Enterprise46%
Find out what your peers are saying about Infobright vs. Vertica and other solutions. Updated: May 2019.
346,972 professionals have used our research since 2012.
We monitor all Relational Databases 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.

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