Vertica by the Hour, Red Hat
OpenText | 24.4.0-0Linux/Unix, Red Hat Enterprise Linux 8 - 64-bit Amazon Machine Image (AMI)
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Smart Data Lakehouse for a traditional DBA to learn
What do you like best about the product?
The flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Resharding the database as needed Rollback snapshots.
What do you dislike about the product?
No dislike. But to learn this new kind "Lakehouse" takes a little more time for a "traditional" DBA
What problems is the product solving and how is that benefiting you?
Our traditional Data Warehouse always have had performance issue due to the over large size. Plus, the new un-structured feature added in, making it very difficult to processing on a lot of things (including daily ETL). We are trying to engage a lot of new tools on the market, OpenText Vertica, the Datalake seems like resolves some of our problems. We are still on exploring new features...
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Excel your Excellency
What do you like best about the product?
OpenText Veryica excels in understanding context, generating coherent responses, and aiding various natural language processing tasks. Its strengths lie in its versatility, adaptability, and the ability to provide contextually relevant information based on input. Users benefit from its capacity to handle diverse language-related queries and tasks effectively.
What do you dislike about the product?
As of now there is nothing.
I will feel free to mention if I will have anything.
I will feel free to mention if I will have anything.
What problems is the product solving and how is that benefiting you?
It is very effective and efficient.
Flexible and scalable
What do you like best about the product?
its ability to process large amounts of data quickly and efficiently, making it an ideal solution for organizations that need to process data in real-time. It provides robust security features, including encryption, access controls, and auditing, to ensure that data is protected and secure.
What do you dislike about the product?
It is complex to install and maintain, which can make it challenging without extensive technical expertise. Vertica can be a relatively expensive solution, especially for organizations with limited budgets.
What problems is the product solving and how is that benefiting you?
Vertica's real-time analytics capabilities can lead to improved business outcomes, such as better-informed decisions, improved operational efficiency, and reduced costs.
If you have large amount of data this vertica is the tool for you!
What do you like best about the product?
Quickly ingest a large amount of data from various sources and low cost compared to other analytical databases.
What do you dislike about the product?
Documentation is poor and has few resources to seek for help other than their official doc site.
What problems is the product solving and how is that benefiting you?
We have a massive amount of data from various sources that need to be processed; Vertica makes it easy to ingest this large amount of data.
Robust Data Modeling and Visualization Program
What do you like best about the product?
Vertica enables me to automatically integrate, collect and model data from disperate data repositories into one cloud analytics tool.
What do you dislike about the product?
Unavailability of mobile app like GCP to track data virtualization progress.
What problems is the product solving and how is that benefiting you?
We utilize Vertica for big data processing, modeling and visualization.
Nice experience
What do you like best about the product?
Vertica SQL on Hadoop are best in market
What do you dislike about the product?
No do far ..atleast you can try using it and see the automation results
What problems is the product solving and how is that benefiting you?
Its mostly help on complex queries to make easy
Product with great capabilities
What do you like best about the product?
We use Vertica as our primary data warehouse solution across different operations. It's very reliable in terms of performance and maintenance. We like the Eon Mode concept, which gives you an advantage on scaling, switching between On-Prem and Cloud. So far, vertica has been a good solution for us, and we look forward to exploring other inbuilt features such as ML and trying Vertica to be a part of On-Prem data lake.
What do you dislike about the product?
The price could be better, significantly when you purchase licenses based on TB. the product can also be improved by having a user interface to manage the connections, resources, etc.
What problems is the product solving and how is that benefiting you?
Vertica has been our primary data warehouse solution. Data from multiple source systems and of different types get processed into DWH. It is then transformed into data marts and used by other platforms like BI, CVM, and CRM.
Recommendations to others considering the product:
I would recommend Vertica for people looking for Analytical DWH. Given that it's a columar database, the query performance is impressive and can also be used for real-time integration. It also has features to separate computing from storage ability to scale up significantly.
Long-term leader for big data analytics
What do you like best about the product?
I most like the breadth of functionality that Vertica offers. For example, analytic lags and deltas and event pattern matching.
What do you dislike about the product?
Whilst the documentation is generally good, I do manage to find and report back mistakes. It can sometimes take a while for these corrections to be incorporated into another documentation release.
What problems is the product solving and how is that benefiting you?
Log analysis and aggregation, complex KPI generation, and sessionisation of data. Using Vertica we have managed to combine data from a large number of sources and query it in one place.
Data engineer using vertica for database
What do you like best about the product?
It Column-based analytical functions, this gives us the flexibility to work with massive data, and it makes our query fast and easy. Another point is its k-safety. It saves our data from any node failure
What do you dislike about the product?
If we can say wrong about Vertica, then it's not good. Still, the area where Vertica can update itself is the connector for its clients
because when we use Vertica with a new version for spark like 3.0, then it has not better connectivity with Hadoop and spark. We have faced so many issues while connecting our spark application.
because when we use Vertica with a new version for spark like 3.0, then it has not better connectivity with Hadoop and spark. We have faced so many issues while connecting our spark application.
What problems is the product solving and how is that benefiting you?
We have created a Business intelligence tool for clients where we have to save massive data and process/query it very fast for a response. I think in this Vertica help's us a lot
A great tool, if you are database person
What do you like best about the product?
The setup of the environment, preloaded parts, gui of the tool
What do you dislike about the product?
Some of the questions are more about exact values in the data rather than teoretical.
What problems is the product solving and how is that benefiting you?
I was doing the certification exam only
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