Data Scale Limits
The following table contain the maximum data scale limits supported by each deployment method. Note, your specific environment might be configured with a lower limit, depending on your Kumo account. If you need these limits to be increased, feel free to get in touch with your point of contact at Kumo.| SaaS | Snowflake Native | Databricks Native | ||
|---|---|---|---|---|
| 1 | Number of rows in a table | 15 Billion | 1 Billion | 10 Billion |
| 2 | Number of columns in a table | 2000 | 100 | 2000 |
| 3 | Table size | 2 TB | 100 GB | 2 TB |
| 4 | Row size | 10 KB | 10 KB | 10 KB |
| 5 | Number of tables in a graph | 12 | 12 | 12 |
| 5 | Number of rows in a graph | 30 Billion | 1 Billion | 30 Billion |
| 7 | Graph size | 2 TB | 200 GB | 2 TB |
| 8 | Number of edges in a graph | 30 Billion | 4 Billion | 30 Billion |
| 9 | Parallel job execution | 10 | 1 | 10 |
Queueing of Jobs and Parallel Execution
- Kumo allows queueing of jobs which can kick-off one by one as ongoing jobs complete. We allow queueing up to 15 jobs (training or batch prediction).
- Jobs can also be executed in parallel, for environments where it is enabled. Parallel execution can be achieved in Snowflake by launching multiple Kumo applications.