Vertica Reviews

24 Ratings
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Score 8.3 out of 100

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Reviews (1-6 of 6)

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September 01, 2020
Anonymous | TrustRadius Reviewer
Score 8 out of 10
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Likelihood to Recommend

It's definitely good for working with larger amount of data and easy scaling. In my experience, Veritca is the only cluster that I have dealt with terabytes of data.
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December 14, 2019
Anonymous | TrustRadius Reviewer
Score 7 out of 10
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Vertica is well suited when latency from incoming data is key and you need Strickland timing guarantees to process the real-time streaming data. It is very well suited if you are using Confluent/Apache Kafka as the set-up and install is super easy and there best practice documentation available for it. It is less appropriate where you are looking at complex queries and schemas.
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December 04, 2017
Eva Donaldson | TrustRadius Reviewer
Score 10 out of 10
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Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
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November 04, 2016
Praveen Murugesan | TrustRadius Reviewer
Score 7 out of 10
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As someone just starting out with data analytics and warehousing vertica is a great tool for a small scale business. It has amazing performance and can scale upto TBs of data. It works well for any organization which has about 100 - 500 DAUs of the system. The system doesn't require a lot of ops overhead.

Scaling for PB data and 1000s of DAU is vertica's weak point. The system is just not designed for large scale usage and still has a long way to go to improve scalability. There are experiments to run Vertica query engine on top of HDFS which seem promising, however - if you have the the Hadoop ecosystem you are better off going the HDFS + Presto/Impala/SparkSQL route. But if you are in the Hadoop ecosystem, you probably are already investing a lot in ops.
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December 08, 2015
Traian Antonescu | TrustRadius Reviewer
Score 9 out of 10
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Likelihood to Recommend

Vertica is not the silver bullet but based on my experience in 9/10 cases in which you need an analytical database, Vertica is probably the answer.

Currently we're using Vertica more as a data processing engine in conjunction with a Hadoop cluster as some of the steps are way more efficient than doing them in Hadoop and easier to manage (e.g. iterative processing steps). We also had a pretty good experience using it with Storm and Hadoop.

At the same time, using Vertica as a traditional OLTP database, with many small transactions inserting/deleting/updating data is not going to take you very far so that’s an obvious case where Vertica is not recommended.
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December 29, 2016
Anonymous | TrustRadius Reviewer
Score 7 out of 10
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It is appropriate for interactive querying. It is not appropriate for complete storage of all your data for bigger companies.
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What is Vertica?

The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by Micro Focus.
Categories:  Data Warehouse

Vertica Technical Details

Operating Systems: Unspecified
Mobile Application:No

Frequently Asked Questions

What is Vertica?

The Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica is owned and supported by Micro Focus.

Who uses Vertica?

The most common users of Vertica are from Mid-size Companies and the Computer Software industry.