Birst vs Pentaho Business Analytics comparison

I would recommend you to for Pentaho as it is open source and I think for 1000 users Pentaho is descent and cost effective.

Hello,
You can look at our BI & Data Analytics Platform 'pi'. We have replaced the BI Platforms mentioned above at few of our customer locations and will be glad to have a demo arranged for our BI Tool.
We are a company based out of India.

Regards,
Rahul
www.progenbusiness.com
+91-98663 97166

I'm not famialiar with these BI Tools, but I could advise you to use
SISENSE BI Tools.
It's really easy to use and for Non IT they could adopt it easily.

It can handle big data with a best performance and with their concept of
chipset technology to fetch data you can really the difference.

And for IT Team, it gives the end user the independance in term of
experience.

Hi,
I'm working with pentaho tools from 5 year and I've built small and big projects with it. Pentaho is a complete platform, because you can:
- build ETL
- build OLAP cube
- create flat report
- create OLAP analisys report with drag&drop
- manage user access with different role
- schedule and send report to managers
- and other
I projected, built and maintained OLAP projects for telecomunication companies (Telecomitalia Spa), automotive companies (Tomasi auto) and food retail companies (Frescomercato), and I can guaranty that all works fine.

Key to our situation are a number of elements that I did not go into since I was asking for specific feedback on three specific options. A couple of those were found to be more difficult which eliminated a number of suppliers including the ones suggested in reply to my original inquiry. Fuzzy matching between many different retailers transaction data and our control data set where there will be significant dirty data. Advanced filters to group data around business rules, such as +/- around different numeric values for comparisons within the group of similar transactions. Any specific feedback on Birst, Board, Pentaho?

Hi,

To be honest, I can't see why you are not looking at Jaspersoft?

In the words of Gartner... Jaspersoft is widely used by ISVs and end-user organizations to embed content in analytic applications and products. The embedded BI critical capability is another example where the collective strengths of the individual products result in a solid score for Tibco overall. It assesses both the ability of the platform to embed content through APIs, SDKs and open standards, and also its ability to consume PMML- and R-based models.

Both of TIBCO's core BI products are used in OEM/embedded use cases, so don't discount Spotfire of course, but if you are looking at embedded production reporting then I would suggest Jaspersoft.

Hi, I can't really help you decide between the options you've asked about since I only really have any hands-on experience with one of the tools that you've mentioned - but I can offer some advice, based on our own experience with OEM clients at Sisense (see, for example, here: www.sisense.com ).

From your question it's clear that there are two main issues you are concerned with: scalability and ease of deployment.

In terms of scalability, the first thing you should be worried about is PERFORMANCE. Will the tool continue to work at the same speed and stability when it's running not tens, but tens of thousands of concurrent queries? Which type of hardware infrastructure will this require? Will this force me to limit the size or granularity of the data that my end users see?

Of course any BI salesperson will tend to answer these questions with an enthusiastic "YES", but check to see that they have some support for their claims. Get your R&D \ IT department on the line and try to understand the technology behind each of the products and whether it is indeed built for the heavy lifting you will need it to do.

Ask for a real proof of concept, on your own data and according to the approximate "strain" 1000s of concurrent users would put on the system. If your vendor says this can't be done in a reasonable time-frame - run for the hills. At Sisense we're usually the ones who insist on having a full POC on the prospect's own data before signing a deal - to align expectations, prove our product's capabilities, etc.

In terms of DEPLOYMENT - I would recommend against relying strictly on consultants or your vendor's professional services. This is your own product: your own developers HAVE to know all the ins and outs. Relying too heavily on external developers is dicey - what happens when you want to give your app a complete overhaul in the next release, but only the consultant \ vendor really knows the code or data model that they have implemented? In this case you will be, so to speak, "at their mercy".

So I would recommend actually minimizing reliance on consultants and the vendor's developers, and instead opting to choose a product that can easily be white-labeled, customized and modified. At Sisense we have ensured this can be done using standard APIs such as REST and Javascript; and additionally included built-in features that allow you to set up data security, SSL, etc., without needing to write any code of your own.

Again, this is something you should ask the vendor to PROVE as part of a proof of concept, rather than take their word for it, but in the bottom line - I would strongly recommend retaining your developers' independence, rather than going down the consultant \ professional services road.

And if your shortlist isn't sealed shut yet, I'd take a look at the Sisense OEM program: www.sisense.com

Best,

Eran

Why not go for Tableau for quick easy implementation with robust reporting
& BI functionalities.