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# Quotas and Limits

> Maximum data scale limits and job execution quotas for Kumo deployments.

## Data Scale Limits

The following table lists the maximum data scale limits for Kumo deployments.

Your specific environment may be configured with lower limits, depending on your Kumo account.
To request a limit increase, contact your Kumo point of contact.

|   |                              | Default    |
| - | ---------------------------- | ---------- |
| 1 | Number of rows in a table    | 15 billion |
| 2 | Number of columns in a table | 2,048      |
| 3 | Table size                   | 2 TB       |
| 4 | Row size                     | 10 KB      |
| 5 | Number of tables in a graph  | 12         |
| 6 | Number of rows in a graph    | 30 billion |
| 7 | Graph size                   | 2 TB       |
| 8 | Number of edges in a graph   | 30 billion |
| 9 | Parallel job execution       | 10         |

"Number of edges in a graph" denotes twice the total number of matching (primary key, foreign key) pairs.

Graph limits are summed across all tables in the graph.

All limits are admin-configurable through environment variables (`MAX_TABLE_ROWS`, `MAX_TABLE_COLS`, `MAX_TABLE_SIZE_BYTES`, `MAX_GRAPH_TOTAL_ROWS`, `MAX_GRAPH_TOTAL_SIZE_BYTES`, `MAX_GRAPH_TOTAL_EDGES`, `MAX_TABLES_IN_A_GRAPH`, `ML_MAX_CONCURRENT_JOBS_TOTAL`).
For Helm deployments, pass these through `kumoConfig.extra` in `values.yaml`.
For Docker deployments, set them as environment variables in your Docker Compose configuration.

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## Queueing of Jobs and Parallel Execution

* Kumo allows queueing of jobs, which start one by one as ongoing jobs complete.
  By default, up to 10 jobs (training or batch prediction) may be queued.
  The queue length is admin-configurable through the `ML_JOB_QUEUE_SIZE` environment variable.
* Jobs can also be executed in parallel in environments where this feature is enabled.
  The number of parallel jobs is admin-configurable through `ML_MAX_CONCURRENT_JOBS_TOTAL`.