Vertica by the Hour, Amazon Linux
OpenText | 24.4.0-0Linux/Unix, Amazon Linux 2023 - 64-bit Amazon Machine Image (AMI)
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Review for OpenText Vertica
What do you like best about the product?
The best feature is how it helps integrating platforms and providing data analysis and business insights for the consumers.
What do you dislike about the product?
There are a lot many services offered and it takes time to understand them at first.
What problems is the product solving and how is that benefiting you?
OpenText is helping to get insights for customer and analysis of data has become lot easier and is in an understandable form
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Super Powerful Real-Time Data Analytics Creation Solution.
What do you like best about the product?
-Implementing the software was super easy process.
-Data connectivity is effective.
-Multiple development operations data management is amazing.
-Quick on clean and real time data analysis ceation with the software.
-Data protection and services Automation is excellent.
-Data connectivity is effective.
-Multiple development operations data management is amazing.
-Quick on clean and real time data analysis ceation with the software.
-Data protection and services Automation is excellent.
What do you dislike about the product?
-None at all since the learning is easy through their training guidance and helpful technical support.
What problems is the product solving and how is that benefiting you?
-Master on complex development projects data modeling and data management.
-The analytics are easy to provide.
-Big data transfer across third party tools.
-Service Automation.
-Data weahousing.
-The analytics are easy to provide.
-Big data transfer across third party tools.
-Service Automation.
-Data weahousing.
Improved efficiency 2x times
What do you like best about the product?
The best thing about OpenText Vertica is its ability to update its database in real time. The speed and accuracy of the software is just exceptional.
What do you dislike about the product?
Sometimes, it is difficult to delete/remove entries from the database.
What problems is the product solving and how is that benefiting you?
We use OpenText Vertica to leverage and maintain our tremendous database, and using ML techniques to make forecasts on future policy changes, product launches etc.
Review for Opentext Vertica
What do you like best about the product?
OpenText Vertica is really helpful to analyze data and providing business insights and analytics
What do you dislike about the product?
The products and services provided are a bit complicated to understand in the begining
What problems is the product solving and how is that benefiting you?
The data processing becomes really smooth and integration is seamless which makes the work easier.
Secured data shipping
What do you like best about the product?
Complete integration of data and cumulative services makes it one in all solution for data delivery and transfer on a big corporation level
What do you dislike about the product?
The affordability might not be the best feature as not small startups can afford it.
What problems is the product solving and how is that benefiting you?
Complete one in all integration makes it easy good to go solution for data management
Review for Open Text Vertica
What do you like best about the product?
1) Its high performance in handling large scale data differentiate it from competitors.
2) The columnar storage and parallel processing architecture help the enterprise to grow
2) The columnar storage and parallel processing architecture help the enterprise to grow
What do you dislike about the product?
Its learnning curve for new user makes it difiicult to understand and it involves high costs in in lisencing and hardware requirements
What problems is the product solving and how is that benefiting you?
It helps in handling and anayzing the large volume of data in real time . It helps in efficiently looking into large scale of data
Analytics tool for Datalake
What do you like best about the product?
On behalf of various data engineers I can say that opentext vertics is a solution for datawarehousing and running alaysis on huge datasets with productivity and speed.
All and all this comes up as a effective solution to quickly get results with respect to thousands of rows of data.
All and all this comes up as a effective solution to quickly get results with respect to thousands of rows of data.
What do you dislike about the product?
While it is suitable for your entire data (lake) this is a complex solution to analyze small data sets and the results might not be satisfactory.
What problems is the product solving and how is that benefiting you?
Running analysis, predictive, and other modelling using huge or in casis entire data sets.
Vertica: Powerful analytics tool
What do you like best about the product?
The vertica datawarehouse offers columnar store database structure capable of handling big data workloads
unlike other traditional databases.
This architecture coupled with other efficient parellel processing techniques
allows for exceptional performance when resolving complex OLAP problems
and rightly so that is their USP.
This comes in handy especially when you deal with near real-time stream workloads usecases.
Lastly, they have launched VerticaPylab which is a great addition for empowering ML based solutions
Also, integration to reporting services such as Tableau are easy to implement.
unlike other traditional databases.
This architecture coupled with other efficient parellel processing techniques
allows for exceptional performance when resolving complex OLAP problems
and rightly so that is their USP.
This comes in handy especially when you deal with near real-time stream workloads usecases.
Lastly, they have launched VerticaPylab which is a great addition for empowering ML based solutions
Also, integration to reporting services such as Tableau are easy to implement.
What do you dislike about the product?
In contrast to alternative tools in market, they have significantly
smaller userbase and hence getting help from online community for issues can be challenging.
After their aquisition from Micro focus to Opentext, there has been few changes in layout in documentation
as well as layout of UI , which creates additional learning curve.
After a certain threshold(of datasize), the operational costs drastically
increases which sometimes is not justifiable
smaller userbase and hence getting help from online community for issues can be challenging.
After their aquisition from Micro focus to Opentext, there has been few changes in layout in documentation
as well as layout of UI , which creates additional learning curve.
After a certain threshold(of datasize), the operational costs drastically
increases which sometimes is not justifiable
What problems is the product solving and how is that benefiting you?
The goal was to explore the capabilties of datawarehouse and finds its place
in the big list of other established datawarehouse solutions in the market
Specifically for catering the reporting dashboard department and its data requirements.
In contrast to other datawarehouses, we found that integration to reporting
services such as Tableau are highly reliable even for large datasets.
in the big list of other established datawarehouse solutions in the market
Specifically for catering the reporting dashboard department and its data requirements.
In contrast to other datawarehouses, we found that integration to reporting
services such as Tableau are highly reliable even for large datasets.
A good analytical tool fir big data analysis
What do you like best about the product?
It is extremely fast than other databases perhaps due to the columnar databse struture. It can be deployed on almost all cloud platform as well along with mainframe. Multiple node failure is very low.
What do you dislike about the product?
The documentation is not comprehensive and it could be imporved upon. the SaaS solution is only available in AWS and not fro Azure and GCP.
What problems is the product solving and how is that benefiting you?
The most important issue these days is the hosting and analyzing trillion of data especially in analytical companies. Vertica is an extremey useful and affordable database making query processing a lot faster than most other databases.
I would like to elaborate more about this product and it's technical overview
What do you like best about the product?
I love mostly about its scaling part and peak performance.
This product provides both multi cloud and hybrid cloud as well.
And it's unified interface and easiness to use.
This product provides both multi cloud and hybrid cloud as well.
And it's unified interface and easiness to use.
What do you dislike about the product?
Nothing much as of now I am loving this product
What problems is the product solving and how is that benefiting you?
Helping to store different format of data into this data Lake House.
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