SAP Knowledge Base Article - Public

2511489 - Troubleshooting performance issues in SAP Analytics Cloud (Collective KBA)



SAP Analytics Cloud (Enterprise)


There are multiple reasons why performance may be affected. This collective Knowledge Base Article (KBA) describes how to collect more information, how to test your network, browser, stories, data actions and apps (applications written with SAC's application designer) and provides further resources to help overcome performance issues.


The overall performance of SAP Analytics Cloud (SAC) is mainly determined by the three components - client time (frontend), network time and the SAP Analytics Cloud service time (backend):

  • The performance of the frontend (client time) is affected by other applications running on your computer. If you have other CPU intensive applications/processes like video conferencing software running in parallel, that will have an impact on other CPU-intensive calculations in SAC like rendering of multiple thousands of cells in a table.
  • The performance on the network is similarly affected by other applications consuming the bandwidth and by some other potential issues over the network caused by VPN, firewalls, bad internet service provider connections, etc.
  • Regarding the backend (SAP Analytics Cloud service time), there is a finite amount of hardware available and multiple concurrent users triggering expensive computations in parallel will slow down processing and have a perceived effect of the overall performance of the system.
  • By using our Performance Analysis tool, you can identify the problematic parts of your scenario and see how much time is spent in which component (frontend, network, backend).
  • To understand the end-to-end time you're perceiving on the client side as well as any instabilities in the overall time or the differences between the different users, you need to check all three pieces and everything affecting them.
    • Note: This tool only traces the performance of stories, data actions and apps (applications written with SAC's application designer).
    • Other activities and navigation actions such as opening the SAC modeler, etc. are not traced.
  • If you have a story, data action or app where the performance is not optimal, run it more than once and check the results in the performance analysis tool to see where the time is spent and compare it for different user sessions, time stamps and systems (production system, test system, QA system, etc.), if needed, taking the above points under consideration.


Troubleshooting steps (reproduce, isolate and document)

  1. Review and analyze your scenario using the Performance Analysis tool (This content helps analyze a single story, data action or analytic application).
  2. Follow the steps in the Performance Decision Tree to find resources that will help resolve performance issues.
  3. Reproduce the problem (is the issue reproducible?):
    1. on more than one user’s machine (notebook, mobile device)?
    2. on the same notebook on a different network?
    3. on another story with the same connection?
    4. with a different user login?
    5. with both Google Chrome and Microsoft Edge?
    6. after clearing the browser cache (Ctrl + Shift + Delete  / clear browsing data)?
  4. Isolate the source:
    1. When did the problem start happening? If it worked before, what changed?  If it has always been slow, isolate and simplify the story.
    2. If at all possible, reproduce the issue on a responsive layout story, with a single analytic model using data acquired into SAC.
  5. Document clear reproduction steps when a performance issue occurs.

Browser (client)

  • Ensure that no third-party proxies or other applications are forcing the client (browser) to use the HTTP 1.1 protocol instead of the HTTP 2 protocol see KBA 3056467.
    • Please note: The HTTP/2 Protocol is currently only supported for Live Data Connectivity between SAC and BW and SAP BPC using HTTPS. For more information on how to enable HTTP 2 Support for these data sources, please see HTTP/2 Support.
    • All Network requests made to the SAC, will use HTTP 1.1, as HTTP/2 for these requests is not currently supported.
  • Perform the same action with a different computer. Your computer may be affected by domain policies, browser settings or specific configurations for your user account.
  • Check if other users in your location also experience the same problem.
  • Confirm that correct client software and client configuration requirements at System Requirements and Technical Prerequisites.
  • Enable "High Performance" power plan of your computer's power option plan. See KBA 2327454 - Low performance occurs in tables.


Your network connection has a significant influence on your experience.

Steps to test your network:

  1. Click the System (i) > Performance > Measurement Tool 
  2. Click Run Client Test.
  3. Click Run Network Test.
  4. Take a screen shot of the results.

Measurement Tool.png

  • Wireless: We all love wireless but it is not as fast as Gigabit ethernet and other network adapters.
  • Reverse proxy: Are you using a reverse proxy to access SAP Analytics Cloud? If so, verify that the behavior also happens when you connect to the public SAC URL and access the sample/demonstration stories (Sample - Revenue Analysis).
  • Internet connection: Test network latency from your network to SAP Analytics Cloud. Warning! This is only an estimate. Go to the Network Performance Measurement Tool and test the network bandwidth and latency or use the internet speed test Web site of your choice and simulate a connection to the location where your SAP Analytics Cloud data center is located.
  • VPN: Using VPNs may affect performance as you may be tunneling requests to SAP Analytics Cloud via your VPN connection. You can compare the performance when connected directly to your network. If you notice a significant improvement, contact your VPN / IT administrator.
  • Latency: Latency is measured in milliseconds (ms). It describes the time it takes from the starting request until the response arrives. A good latency is a ping rate within a low milliseconds range. Latency describes the amount of delay on a network or Internet connection. Low latency implies that there are no or almost no delays. High latency implies that there are many delays. One of the main aims of improving performance is to reduce latency.

Stories (Canvas / Responsive / Grid pages)

  • Quick win: Review the sections in the Optimize Your Story's Performance on the SAP Help Portal.
  • Quick win: Best Practice Performance Tips for Story Designers (in design mode) have now been added during story design processes. See the following for more information.
  • Quick win: Enable Optimized View Mode to improve the performance of stories (in certain scenarios) and provides usability improvements. See here, and here.
  • Quick win: Re-save the story to take advantage of incremental improvements since the last update of your system.
  • Quick win: In the model preferences under Data and Performance, toggle on “Optimize Story Building Performance”. This prevents automatic refreshing of data during story design.
  • Simplify story: Use canvas style stories to your advantage. 
  • Chart optimizations: Avoid charts with a large number of data points (>500).
  • Table optimizations: Leverage Explorer instead of using large tables.
  • Images: Resize SVG and PNG files to decrease download times of these files.
  • Linked analytics: Linking too many charts will trigger updating their values every time the selection or filter changes.
  • Settings: Take advantage of Progressive Chart Rendering. See article 2604574 for further information.
  • Blending: Use the "Exclude descendents" option if hierarchies have identical structure & ensure filtering uses currently selected members only (See link dimensions).
  • Geo maps / Geospatial: See KBA 2676310 - Story with geo map loading slowly in SAP Analytics Cloud (SAC) and geospatial best practices.
  • Review the following blog for some further tips and advice: Best Practices for Performance.

Analytics Designer / Analytic Apps

Live Data versus imported data (acquired models)

Data Actions and Planning Features (in Planning models)

Capturing Performance Information in Google Chrome

  • If you have tested all the previous steps and still experience performance problems, please conduct the following so that SAP Product Support can investigate further:
    • Capture a HAR file using the Network tab in Google Chrome Developer Tools. See article 2280022 - How to collect HTTP archive files (HAR) files.
    • Capture a performance trace using the Performance tab in Google Chrome Developer Tools. See article 2413393 for further information.
    • Google Chrome Performance Analysis Reference: Click here
    • Review article 2630653 - How to Troubleshoot and Trace SAP Analytics Cloud connecting to on-premise / acquired / imported data.

SAP Analytics Cloud Performance Analysis Tool and Administration Cockpit

Cloud availability center and data center status

See Also

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SAP Analytics Cloud 1.0


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