For the complete documentation index, see llms.txt. This page is also available as Markdown.

Cloud provider

Cloud-provider-specific limits and constraints when running e6data.

Limits and constraints that vary by cloud provider.

AWS

Limit
Default
Adjustable

Concurrent EC2 instances per cluster

Limited by AWS account quotas

Yes - request quota increase

VPC peering for In-VPC deployments

Up to AWS default limits

Yes - request via support

S3 bucket access

Same-region recommended

Cross-region works but adds latency/cost

Cross-account IAM trust

Supported via role assumption

Standard AWS configuration

Azure

Limit
Default
Adjustable

Subscription quota for VM cores

Per Azure subscription default

Yes - request quota increase in Azure portal

ADLS Gen2 access

Same-region recommended

Cross-region works but adds latency/cost

Cross-tenant access

Supported via Managed Identity federation

Standard Azure configuration

Network Contributor on VNet

Required for In-VPC internal LB

Configured per cluster

Universal limits across clouds

Limit
Value
Notes

Max executors per cluster

10,000

Practical limit; most clusters are far smaller

Concurrent queries per workspace

Workspace-dependent

Contact support to raise

Result set size per query

100 MB via REST API

Use streaming for larger

Catalog name length

64 characters

Reasonable practical limit

Workspace name length

1–18 characters

Hard limit

Region pairing recommendations

For minimal latency and cost, keep these in the same region:

  • e6data workspace

  • Underlying data (S3, ADLS Gen2)

  • Metastore (Hive, Glue, Unity, Polaris)

Cross-region or cross-cloud access works but introduces:

  • Egress costs (often significant for large data scans)

  • Latency (10–200ms added per query)

  • Reliability dependencies on cross-region networking

See also

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