Quotas and Limits
Default resource restrictions for your Kumo environment.
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 |
Number of edges in the graph denotes twice the total number of matching (primary key, foreign key) pairs.
Graph limits are summed across all tables in the graph.
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.
Updated 3 months ago