Quotas and Limits | Structured Data and Graph Models

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.