Ascend Pricing & Packages
Ascend Packages & Pricing
Flexible pricing and deployment options that ensure you only pay for what you use.
Flexibility That Scales
Pay-As-You-Go
Simple usage-based pricing ensures you don’t get locked into big contracts.
Every Cloud
Deploy to AWS, Azure, and GCP. Available in nearly every region worldwide.
Custom Deployments
Choose from fully hosted options, or deployments into your existing cloud accounts.
Volume Discounts
Chat with our sales team for access to deeper discounts when you commit to usage.
Ascend Cloud Packages
DEVELOPER
FREE
- Currently available on Snowflake.
Spark, Databricks, BigQuery coming soon. - Ascend Hosted Multi-tennant
- BYO Snowflake
- Single User
- Support of Snowpark for Python
TEAM
Coming Soon
- All Features in Developer Tier Plus:
- Up to 5 Concurrent Jobs
- Unlimited Users
COMPANY
Coming Soon
- All Features in Team Tier Plus:
- Role-based Access Controls
- Unlimited Concurrent Jobs
Ascend Dedicated Packages
HOSTED
0.0408
credits/minute*
- Run in an Ascend Managed AWS, Azure, or GCP Account
- Dedicated Control & Data Plane
- Auto-scaling
- End-to-End Data Encryption
- SSH Tunnels
- Runs on Databricks, Qubole Spark, Snowflake and BigQuery
(Managed Spark available for 0.0058 credits)
STANDARD
0.0133
credits/minute*
- Runs in your AWS, Azure, or GCP
(remotely managed by Ascend) - Dedicated Control & Data Plane
- Auto-scaling
- End-to-End Data Encryption
- SSH Tunnels
- Runs on Databricks, Qubole Spark, Snowflake and BigQuery
(Managed Spark available for 0.0058 credits)
ENTERPRISE
0.0183
credits/minute*
- All Standard Features, plus
- HIPAA Compliance
- Restricted Access Control & Data Plane
- Customer Managed VPC
- AWS & Azure Private Link
- Private VPN Tunnels
- Runs on Databricks, Qubole Spark, Snowflake and BigQuery
(Managed Spark available for 0.0058 credits)
*1 credit = $1.00
Terms of Service
Shaving time off data ingest & Transformation
Accelerating Data Orchestration at Harry's
With Ascend.io, Harry’s moved away from technology that placed a heavy maintenance burden on the data engineering team, so building pipelines for new retail data sources, which used to take weeks (or months), the data analytics team is now able to turn around in minutes.