How powerful server do I need for my company?

Since our plugins work with Jira the first thing to consider is the Jira Sizing GuideThe additional footprint our plugins add is difficult to estimate due to the various possible configurations of modules and functionalities that can be used. 20 to 30 per cent more powerful servers should be safe to assume if you want to ensure comfortable interaction while working with our plugins.

We do not support HSQL and H2 databases. The plugin should work on them, but some bugs may happen and we cannot guarantee a smooth experience. The recommended databases are MSSQL, MySQL, PostgresSQL and Oracle.

Maximum number of Jira issues loaded into a single BigGantt module

To begin with, performance and load tests executed by SoftwarePlant have set the threshold of issues possible to present by a single BigGantt Box to 5000 issues.

We are constantly working on performance improvements so don't hesitate to contact us and let us know if you experience any problems with using BigGantt on a larger scale.

BigGantt users

When it comes to responsiveness, the end-user PC has impact. Having an updated Chrome or Firefox on a modern PC (dual-core PU, preferably at least a Sandy Bridge series for Intel and at least 2 GM RAM, preferably 3-4) is advised.

For the following table, notice that the order is not exact because Clocks are listed to give an idea of specific workload requirements. With the same clocks number, obviously an i5 will be more powerful than an i3. THis is actually more of a matrix than a table.

Batch sizeClocksRecommended
50100Pentium Dual-Core
5020,000Core i5-class CPU
500100Core i3-class CPU
50020,000Core i7-class CPU

The figures above are for Sandy Bridge and newer generations of Intel CPUs. Equivalents for AMD and other manufacturers vary, it is best to consult your server provider or administrator.

BigGantt performance tests conducted by SoftwarePlant

SoftwarePlant performs load and performance tests before each release to maintain optimal user experience of BigGantt.
Details of Jira environment used for performance tests:

  • Operating System: Linux
  • Database: PostgreSQL
  • Jira RAM: 1536 MB - for plain Jira and BigGantt
  • CPU of the host server: 8 cores - host server manages the CPU allocation

Jira server memory setup comfortable for BigGantt

The general rule of thumb is to preserve 4KB of RAM memory for each Jira issue registered in the system. This conversion formula includes overhead which is generated by BigGantt entities that accompany BigGantt tasks (which are entities wrapping Jira issues).

Additional 300MB approximately is required during the plugin startup.

To improve the performance we recommend increasing the JVM to at least 512MB.

Hard drive space required

Modern servers have usually enough storage space to accommodate Jira and plugins without problems. Plugins themselves are marginal size by modern standards:

  • BigGantt approximately 44MB
  • BigTemplate approximately 68MB (additionally consider custom templates that you wish to upload)

Some aspects that need to be considered here:

  • Backups - we recommend backing up your instance before every update(your Jira data size is the key concern here).
  • Logs - storing logs makes sense only for limited period of time and usually the default settings are OK

Example sizing

For a Jira instance with 1,7m Jira issues, 650 Custom fields, 185 issue types, 185 workflows, 2500 users.

  • For issues, always remember about the 4KB per issue rule of thumb.
  • All 650 custom fields can be used in a Box Column Views configuration. Number of columns has a direct impact on the BigGantt performance and Gantt loading speed.
  • Issue types, workflows, and users do not influence the performance of BigGantt.

BigGantt automatic WBS

Configuring synchronisers in any Box synchronization configuration directly affects the performance of BigGantt when opening Gantt.

Each synchronizer adds additional work performed for every Jira issue in the scope of a Box. If you configure your Jira based on best practices as described above it will ensure successful implementation of BigGantt into your environment.


"Are there any special configurations related to performance, is it possible to maybe reserve more threads for BigGantt? Or similar..."

Here are some tips that might help:

  • Use date filtering if your Box spans long period of time
  • Switch off Fine-grained logging
  • Do not use complicated JQL  query in the program scope and filters
  • Increase the Synchronization time interval
  • Change the Box status to closed
  • Switch off statistics collection and Feedback button
  • The more data fields such as columns on Gantt you show while using BigGantt Plugin the more time it takes for the browser to calculate and render it.

  • Switching off the WBS Widget on detailed issue view should improve the loading time of the issue.

  • Limit the number of tasks in the program as mentioned in chapter Maximum number of Jira issues loaded into a single BigGantt module.
  • Consider configuring custom database connection for the plugin
  • Limit tasks loaded each time a program is opened. Note though that all aggregation calculations will only take into account loaded tasks only.
  • Remember that each additional plugin installed shares Jira's resources
  • Archive old projects. Here's a link to the official Atlassian Knowledge base article on the topic
  • Disable the "Save task changes to Jira issue page"
  • Make sure that your browser does not block caching.

Support is always there to help

In case your needs are more complicated you are always welcome to contact our helpful Support Team. They are always more than happy to answer all inquiries.