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Birst vs SAP Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.3
Birst offers substantial returns by providing visualization tools that impact the organization through enhanced sales and data access capabilities.
Sentiment score
7.7
SAP Analytics Cloud enhances ROI by streamlining business intelligence, simplifying reporting, and integrating with systems for quicker data-driven decisions.
 

Customer Service

Sentiment score
7.2
Birst's technical support is mixed; praised for responsiveness and customer service but faces challenges with time zones and reliance on forums.
Sentiment score
6.2
SAP Analytics Cloud's customer service is mixed, with praise for expertise but concerns about delays and technical assistance.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
 

Scalability Issues

Sentiment score
6.4
Birst's scalability receives mixed reviews; some praise it, while others face challenges, costs, and complexity, yet cloud solutions impress.
Sentiment score
7.4
SAP Analytics Cloud is highly scalable, accommodating diverse needs, with some users noting excellent flexibility and performance with occasional issues.
I would rate its scalability up to nine on a scale of one to ten.
 

Stability Issues

Sentiment score
6.3
Birst users experience varying stability, with issues during upgrades and large datasets, though some report smooth performance improvements.
Sentiment score
7.5
SAP Analytics Cloud is generally stable and secure, despite occasional connectivity and performance issues with large datasets.
 

Room For Improvement

Birst struggles with performance, customization, UI, visualization features, inefficiencies, and support, requiring enhancements and modernization in various areas.
SAP Analytics Cloud needs better integration, visualization, and usability, with enhanced documentation, ML capabilities, and competitive pricing.
Documentation-wise, we see some gaps when trying to connect different solutions.
 

Setup Cost

Birst offers market-standard pricing with a subscription model, providing comprehensive solutions and flexibility despite high entry costs.
SAP Analytics Cloud is seen as costly, with subscription-based licensing and integration benefits, yet lacks competitive pricing.
 

Valuable Features

Birst provides scalable data visualization, cloud-based architecture, and integrates ETL, reporting, and dashboards for efficient data-driven decisions.
SAP Analytics Cloud offers predictive analytics, seamless SAP integration, customization, user-friendly dashboards, and robust data handling with third-party connectivity.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
 

Categories and Ranking

Birst
Average Rating
7.4
Reviews Sentiment
7.1
Number of Reviews
20
Ranking in other categories
Reporting (32nd), Embedded BI (15th)
SAP Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
70
Ranking in other categories
BI (Business Intelligence) Tools (4th), Predictive Analytics (2nd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Birst is designed for Reporting and holds a mindshare of 0.2%, up 0.2% compared to last year.
SAP Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 4.4% mindshare, down 5.8% since last year.
Reporting
BI (Business Intelligence) Tools
 

Featured Reviews

it_user547323 - PeerSpot reviewer
We deploy dashboards using the integrated data warehousing and visualization abilities. Setup is complex.
From a visualization perspective, this tool claims to make several advances that are indeed interesting to a large proportion of the user base. However, it needs to prioritize several extremely fundamental features associated with charting, formatting and layout control. Some basic features that Birst needs to improve are: * Line graph between two measures (comparing one measure to another without summing them) – Basic scatter plot sums the measure up automatically. * Spark lines need to be made available. * Editing trend lines and gridlines in graphs – An option for customizing label location, label background under formatting chart elements such as gridlines and labels, custom label backgrounds and transparency, etc. * An option to customize the alignment of headings in any table as left, right, center, top, middle and bottom. Also there is need to add label customization in a table that is not associated to any measure but just plain text, instead of having to change it on the dashboard as a text input, which also does not re-size in the same ratio as the other components do when the screen size is modified. * Conditional filter – An additional option to use a filter “where variable-xyz in (a,b,c,d,)” type of statement for filtering attributes. This is helpful when the list of attributes is long and can be used instead of manually select each box. * Conditional display of KPI – For example, if the date range is x, then display KPI A; if the date range is y, then display KPI B. * Conditional indicators – A solution to give conditions to KPI indicators rather than to have a measure to check against a predefined number. * Unnecessary padding spaces around graphs, KPIs, tables – An option to be able to define the space and padding. * An option to customize a measure within a given timeline, embedded in the measure itself. There should be way to define that timeline dependent on a user-selected time in dashboard filters. Currently, there is no ability to display several measures on different time scales in the same table. For example, measure 1, 2 and 3 current, over last quarter and over last year.
RamasamyTelungupalayam - PeerSpot reviewer
Seamless integration, collaborative features, and enhances data exploration
There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
17%
Educational Organization
13%
Computer Software Company
9%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
What do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
What is your experience regarding pricing and costs for SAP Analytics Cloud?
The pricing model for SAP Analytics Cloud is quite competitive, but the cost for the planning functionality is high and can be a barrier to entry. The overall cost can be managed with better billin...
 

Also Known As

No data available
SAP BusinessObjects Cloud
 

Overview

 

Sample Customers

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