Birst Scalability

RH
Product Manager at a tech vendor

We use Birst cloud and so far have not seen any scalability issues.

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it_user653898 - PeerSpot reviewer
Manager Data Services at a logistics company with 201-500 employees

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.

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it_user653208 - PeerSpot reviewer
Senior Software Engineer at a healthcare company with 1,001-5,000 employees

We have been able to scale pretty quickly and easily. It has been great experience and I love this product.

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March 2024
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it_user526302 - PeerSpot reviewer
Director of Enterprise Data Architecture at a tech services company with 1,001-5,000 employees

I encountered scalability issues.

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it_user547323 - PeerSpot reviewer
Sr. Business Intelligence Consultant at Avantas, LLC

Some minor scalability issues include:

  • Copy over time
  • Data connectivity
  • Render time
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it_user560265 - PeerSpot reviewer
Lead, Analytics Global Enterprise & Government at a comms service provider with 10,001+ employees

I have not encountered any scalability issues.

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it_user566175 - PeerSpot reviewer
Director BI Services at a tech services company with 501-1,000 employees

We have not encountered any scalability issues. Just follow the guidelines on hardware/software requirements and this will scale fine.

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it_user529317 - PeerSpot reviewer
Senior BI Specialist at a tech company with 10,001+ employees

I have not encountered any scalability issues so far. Scalability is one of the core features of this product that makes Birst great.

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SK
Principal Engineering Manager I at a computer software company with 201-500 employees

There were scalability issues. We found regressions.

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it_user25359 - PeerSpot reviewer
Sr. Manager of Enterprise Applications with 501-1,000 employees

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.

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it_user560217 - PeerSpot reviewer
Fp&A And Reporting Manager at a healthcare company with 501-1,000 employees

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.

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it_user535434 - PeerSpot reviewer
Manager - Presales and Solutions at a tech services company with 1,001-5,000 employees

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.

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it_user560286 - PeerSpot reviewer
Software Engineer – BI Analyst at a recruiting/HR firm with 1,001-5,000 employees

The ETL, querying, and user interface did not accommodate our performance requirements.

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it_user562548 - PeerSpot reviewer
Business Intelligence Consultant and Birst Expert at a tech consulting company with 51-200 employees

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.

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it_user573501 - PeerSpot reviewer
Regional Marketing Communications & Campaigns Manager at a retailer with 1,001-5,000 employees

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.

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it_user538233 - PeerSpot reviewer
Business Intelligence Consultant at a tech company with 51-200 employees

I did not encounter any issues with scalability.

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it_user562521 - PeerSpot reviewer
Sr. Tech Specialist/ DBA/BI Developer at a educational organization with 501-1,000 employees

We have not encountered any scalability issues.

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it_user575829 - PeerSpot reviewer
Business Intelligence Manager at a real estate/law firm with 501-1,000 employees

There have been no scalability issues.

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it_user551520 - PeerSpot reviewer
Senior Data Engineer at a tech company with 5,001-10,000 employees

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.

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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.