Amazon QuickSight doubles SPICE capacity limit to 500m row
Amazon QuickSight now supports larger SPICE datasets on the Enterprise Edition. Earlier each SPICE dataset could hold up to 250 million rows and 500GB of data. Now, all new SPICE datasets can accommodate up to 500 million rows (or 500GB) of data in the Enterprise Edition and 25 million rows (or 25GB) for Standard Edition. This raises the limit for your datasets, letting you accelerate dashboards with more data. See here for details.
Amazon QuickSight now supports larger SPICE datasets on the Enterprise Edition. Earlier each SPICE dataset could hold up to 250 million rows and 500GB of data. Now, all new SPICE datasets can accommodate up to 500 million rows (or 500GB) of data in the Enterprise Edition and 25 million rows (or 25GB) for Standard Edition. This raises the limit for your datasets, letting you accelerate dashboards with more data. See here for details.
If you have an existing dataset that you've filtered to stay below the prior 250M row maximum, you can use SPICE's new capacity by removing or relaxing that filter in Data Prep. If you're creating a new dataset, there's no additional requirements or steps you need to take. You can just set up your dataset and watch it import all 500 million rows.
SPICE is Amazon QuickSight's Super-fast, Parallel, In-memory Calculation Engine. SPICE is a query acceleration layer for QuickSight customers to analyze their data. It's engineered to rapidly perform advanced calculations and serve data. By using SPICE, you save time because you don't need to retrieve the data every time you change an analysis or update a visual. For more information about using SPICE, see here.
SPICE’s new 500M data set maximum is available in Enterprise Edition in all supported QuickSight regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo). For more details, visit here.