Birst Scalability
RH
Rick Hutchinson
Product Manager at a tech vendor
We use Birst cloud and so far have not seen any scalability issues.
View full review »Scalability is why we went with Birst. It had the robustness built in to take us to where we wanted to be. We looked at several popular tools and liked them, but Birst was the ultimate choice.
View full review »We have been able to scale pretty quickly and easily. It has been great experience and I love this product.
Buyer's Guide
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March 2024
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I encountered scalability issues.
View full review »Some minor scalability issues include:
- Copy over time
- Data connectivity
- Render time
I have not encountered any scalability issues.
View full review »We have not encountered any scalability issues. Just follow the guidelines on hardware/software requirements and this will scale fine.
View full review »I have not encountered any scalability issues so far. Scalability is one of the core features of this product that makes Birst great.
View full review »SK
Sreenivas K
Principal Engineering Manager I at a computer software company with 201-500 employees
There were scalability issues. We found regressions.
View full review »We did not encounter any scalability issues. For an additional cost, you can scale as needed. For our needs, it is scalable without additional cost at this time.
View full review »The non-enterprise version requires you to hook up data sources to each space you create. It doesn't let you create one data warehouse in which you can build all types of reporting. This allows for more control and better security, but it can slow down the scaling process if you need internal help from IT.
View full review »Data processing time increases as volume of the data increases. However, if you are in the typical data load cycle schedules for end-of-day loads during off-business-hours, the time is minimal.
View full review »The ETL, querying, and user interface did not accommodate our performance requirements.
View full review »As the volume of data gets bigger and bigger, so does the extraction/processing of the data and the dashboard rendering. There are always workarounds. The extraction/processing can be improved by using incremental data refresh. Dashboards can be optimized by using filters.
View full review »Personally, I did not encounter any scalability issues because I only had to deal with the given data for a six month period at a time (season) or maximum for a year's worth. However, I can imagine how slow the system would be, if we needed to look at it in terms of years and years of data.
View full review »I did not encounter any issues with scalability.
View full review »We have not encountered any scalability issues.
View full review »There have been no scalability issues.
View full review »Owing to the above reasons, we could not make use of the Birst tool productively. Hence, we will not be able to make a fair comment. In addition, this tool does not allow frequent updates.
View full review »Buyer's Guide
Reporting
March 2024
Find out what your peers are saying about Infor, Microsoft, Tableau and others in Reporting. Updated: March 2024.
765,386 professionals have used our research since 2012.