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 Packages
Choose from our three Ascend hosted cloud offerings or a fully-dedicated environment in your cloud for the ultimate control.
Ascend Hosted
Developer
Free
Get started today with access to our full platform
What's included?
All Build/Ops Capabilities
DataAware Control Plane
SSO
Single Data Cloud
Up to 2 Users
1 Concurrent Job
Team
$150 /User/mo
Great for small teams and startups
What's included?
All Build/Ops Capabilities
DataAware Control Plane
SSO
Single Data Cloud
Up to 8 Users
3 Concurrent Jobs
Enterprise
Usage-Based
Unlimited resources with consumption-based pricing
What's included?
All Build/Ops Capabilities
Data Aware Control Plane
SSO
Data Mesh/Multi-Data Clouds
Unlimited Users
Unlimited Concurrent Jobs
Role Based Access Control
Customer Hosted
Dedicated
Usage-Based
Deploy in your own cloud VPC for ultimate control
What's included?
All Build/Ops Capabilities
DataAware Control Plane
SSO
Data Mesh/Multi-Data Clouds
Unlimited Users
Unlimited Concurrent Jobs
Role Based Access Control
Deploy on your VPC
Compare Plan Features
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Developer
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Team
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Enterprise
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Dedicated
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Build Capabilities
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Data Ingest - Connectors
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1 Premium/5 total
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3 premium/10 total
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Full access
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Full Access
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Transform
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SQL/Python*
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SQL/Python*
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SQL/Python/Scala
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SQL/Python/Scala
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Cross-Pipeline Orchestration
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Share/Reverse-ETL
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Ops Capabilities
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Reliability
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Costing
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Observability
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Multi-Cloud Orchestration
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Deployments in your VPC
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Intelligent Data Pipeline Features
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Pause/Inspect/Resume
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Restart at Point of Failure
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Delete Orphaned Data Sets
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Actionable Data Quality
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Incremental Data Propagation
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Instant, Zero Cost Rollbacks
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Multi-Cloud Change Propagation
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Priority Pipeline Processing
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Warehouse/Cluster Overrides
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Support
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Uptime SLA
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Support Method
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Community
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Community
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Slack
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Slack
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Billing
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None
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Credit Card
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Direct Bill or Marketplace
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Direct Bill or Marketplace
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* Snowpark on Snowflake, Python on Databricks
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FAQ
How are job resources allocated in the Ascend cloud?
Every customer enjoys a fully isolated compute cluster with guaranteed resource minimums on every plan. Ascend cloud runs on a multi-tenant Kubernetes cluster with fully isolated namespaces to ensure there are no ‘noisy neighbors’ in your environment.
Can Ascend be deployed in any region of the world?
Yes! Our Dedicated plan includes a fully managed Kubernetes cluster that can be deployed in your cloud environment. This includes your own public/private cloud VPN in any region supported by AWS, Azure, or Google Cloud Platform.
Can I access my on-premise data sources with Ascend?
Yes. Our platform can be configured to sync your privately hosted data sources to the cloud using a variety of secure connection protocols. Our Dedicated clusters can be deployed within the same environment as your privately hosted sources, helping you build intelligent data pipelines behind your own firewall.
Do you charge extra for specific connectors?
No. Ascend customers get access to our entire connector library, including our flexible API connector with intelligent schema-drift correction, as part of the complete data pipeline automation platform.
Does the Dedicated plan put any maintenance work on my team?
No! Our self-hosted deployments are remotely supported by the Ascend team. There is no burden on your team for ongoing maintenance or upgrades.
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.