Vertica by the Hour, Red Hat
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Great analytical database, great performance.
What do you like best about the product?
I like performance and volume of data it hold.
What do you dislike about the product?
Node goes down or crashes in occasions and need manual intervention.
What problems is the product solving and how is that benefiting you?
Using as Analytical database to store data in fact and dimensions tables for reporting purposes.
Smooth data management but could be better.
What do you like best about the product?
It makes ETL pipeline integration easier. Provides data security and faster data preparation.
What do you dislike about the product?
Data size limitation and pretty expensive when dealing with large datasets.
What problems is the product solving and how is that benefiting you?
Faster query execution and better data management
Its fast , scalable , Data science ready , Most advanced Database ever made.
What do you like best about the product?
Compression , encoding , K safety , 24x7 data loads , Fast , scalable , Machine learning , language support
What do you dislike about the product?
Very less Learning resources to learn Vertica.
What problems is the product solving and how is that benefiting you?
We are using it in Business intelligence , Data science , to Store and Process the data and get insights.
Recommendations to others considering the product:
I must say it is awesome database , it can fulfill all your need. Vertica is the future for Data processing.
Vertica review
What do you like best about the product?
Vertica 's kafka and spark connectors
Connectors are really nice
Connectors are really nice
What do you dislike about the product?
Gets expensive with huge amount of data
Thus pricing is one of the reason
Thus pricing is one of the reason
What problems is the product solving and how is that benefiting you?
Banking field especially in fraud detection
Speed and Low cost
What do you like best about the product?
Speed of queries and the low cost of ownership.able to take real time streaming data without much preprocessing latency.
What do you dislike about the product?
The management console including GUI is lacking features.
What problems is the product solving and how is that benefiting you?
We have been at the forefront of digitisation transformation. As collection distribution and using data is critical for us.we have developed a single converged platform to help clients transition.
Vertica is very good in case of huge transactions. We can easily manage vertica servers.
What do you like best about the product?
Environment is too good. The way to design the vertica architecture is awesome and we can easily get the health of vertica systems.
What do you dislike about the product?
If any disasters, recovery is bit slow. I have observed only one issue, nothing else.
What problems is the product solving and how is that benefiting you?
I have recovered vertica servers many times. Main benifit is monitoring is too good compare to other big data solutions
Recommendations to others considering the product:
Yes, I can recommend to use vertica product
A strong tool for processing BIG Data
What do you like best about the product?
Quick processing time.
Faster query handling
SQL integration is easy
Faster query handling
SQL integration is easy
What do you dislike about the product?
No easy to access community forums
Takes time to get answers for queries or issues from the communities
Limited client knowledge to get them onboard instead of Hadoop or SQL server.
Takes time to get answers for queries or issues from the communities
Limited client knowledge to get them onboard instead of Hadoop or SQL server.
What problems is the product solving and how is that benefiting you?
Social Media analytics with Sentiment analysis
Processing data that is >10 million rows is quicker in Vertica and aggregation of granular data
Processing data that is >10 million rows is quicker in Vertica and aggregation of granular data
Recommendations to others considering the product:
If you are in need of a database , but still using outdated technologies like SQL server which can still has its limitation while processing large data sets ( in excess of 10-15 million rows) across 50+ tables, Vertica can be a great tool to process this information and bring out key insights and do analytics on the data. The power of analaytics is only as good as how fast you can process the data and how quick the results come in .
Solution Architect
What do you like best about the product?
Columnar store is both retrieval and storage makes it scalable and good for large set of Data.
What do you dislike about the product?
We do not have a IDE where we can view the Structure which would be user friendly
What problems is the product solving and how is that benefiting you?
We were able to store huge data and it allowed us to extend same set of data with multi columns from multiple site. It helped us in consolidating and retrieving data.
Engineering & Technology Leader work with data for results driven outcome
What do you like best about the product?
Vertica is good for both structured and unstructured data mining, however, I find the performance is on the lower side when I evaluated.
What do you dislike about the product?
The pricing is heavy in comparison to the rest of the available options in the industry. However it assures the SLA that I've seen it affordable.
What problems is the product solving and how is that benefiting you?
We were trying to evaluate the big-data of Patent data globally that we want to aggregate, ingest, mine for inference, and be able to search the big-data along with the Marklogic. I've seen Vertica was beneficial with the prototype that I was able to quickly demonstrate and use. However, the pricing was a bit let down to us during this recommendation.
Great product, sometimes a little slow for processing
What do you like best about the product?
I like the easiness to write in vertica’s SQL language. It’s very intuitive and easy to understand.
What do you dislike about the product?
In my experience the processing time was long sometimes. The queries were running but taking to much and failing due to insufficient resources.
What problems is the product solving and how is that benefiting you?
Data Queries mostly. It helped me for summarizing big sets of data into transformed and ready to use data outcomes
Recommendations to others considering the product:
Be aware of how efficient your queries are before running them.
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