Sold by: WhaleOps
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WhaleStudio is a unified data integration and workflow orchestration platform built on Apache DolphinScheduler and Apache SeaTunnel. It combines native ETL and data synchronization with workflow orchestration, enabling users to build batch data pipelines, manage task dependencies, schedule executions, and monitor workflows in one platform.
Overview
WhaleStudio is a unified data integration and workflow orchestration platform that combines native ETL and data synchronization with workflow scheduling and execution management. Unlike tools focused solely on data integration or orchestration, WhaleStudio enables teams to build, run, and manage end-to-end data pipelines within a single platform.
WhaleStudio connects data across relational databases, cloud data warehouses, data lakes, object storage, and other enterprise data systems through a broad range of built-in connectors. With more than 30 built-in job types, users can visually build DAG workflows that combine data synchronization, SQL processing, Python scripts, and other data engineering tasks. The low-code, drag-and-drop interface supports task dependencies, scheduled execution, and centralized workflow monitoring, enabling teams to automate complex batch data pipelines.
Built on the open-source Apache DolphinScheduler and Apache SeaTunnel projects, WhaleStudio brings together workflow orchestration and data integration capabilities with additional management and operational features. It also enables agent-driven data engineering through CLI integration, allowing users to create, manage, and troubleshoot data pipelines using their preferred AI agents.
WhaleStudio is available as a fully managed SaaS offering on AWS Marketplace. Each subscription includes 1,000 credits per month for workflow execution and data synchronization. Additional usage is billed on a pay-as-you-go basis, allowing teams to scale usage without managing their own infrastructure.
Highlights
- Unified Data Integration and Orchestration: Combine native ETL and data synchronization with DAG-based workflow orchestration in one platform. Build, schedule, and monitor end-to-end batch data pipelines without managing separate integration and scheduling tools.
- Low-Code Simplicity, Full-Code Flexibility: Design complex workflows visually with drag-and-drop tools, or extend them using SQL, Python, and Java. Orchestrate data synchronization and processing tasks with flexible scheduling, dependencies, and centralized monitoring.
- Agent-Driven Data Engineering: Connect your preferred AI coding assistant to WhaleStudio through CLI integration to create, manage, and troubleshoot data pipelines. Simplify routine data engineering operations while retaining control over workflow execution.
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Pricing
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Base Monthly Contract | Includes 1,000 Credits per month as part of the subscription. Credits are consumed based on actual usage and reset monthly (approximately 200,000 synced records or 1,000 successful job runs). 1 Credit equals either 1 successful workflow job instance or 200 synced records. | $33.00 |
Dimensions summary
This listing uses one Base Monthly Contract billed as a monthly subscription. You pay for a set number of Credits each month, starting with 1,000 Credits included. Credits are the single usage unit that drives cost. One Credit covers either one successful workflow job instance or 200 synced records. That maps to roughly 200,000 synced records or 1,000 successful job runs per month. Credits reset each month and are consumed based on actual usage. Pricing scales with how many workflow runs and records you process, not by user count or data source.
Top-of-mind questions for buyers
The 1,000 Credits reset at the start of each month. You consume Credits based on actual usage during the month. Once your included Credits are used, contact the vendor to confirm how added usage is handled, since the marketplace listing covers the base monthly amount only.
One Credit equals either one successful workflow job instance or 200 synced records. A workflow job that completes successfully draws one Credit. Moving data draws one Credit per 200 records synced. The 1,000 monthly Credits map to roughly 1,000 successful job runs or 200,000 synced records.
No. Credits are consumed only by successful workflow job instances and synced records. The platform connects to databases, lakes, warehouses, SaaS apps, and streaming systems, but connecting more sources does not itself draw Credits. Only actual job runs and records moved consume your monthly allotment.
whaleops.io
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Vendor refund policy
This service is billed monthly and charges are finalized at the end of each billing period. If you cancel your subscription before the billing cycle ends, unused Credits are non-refundable. Your subscription will remain active through the end of the billing period, and you may continue to use the service until your remaining Credits are consumed or the billing period ends. No further charges will apply after cancellation.
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
WhaleStudio provides customer support via email. For product questions, technical issues, or usage inquiries, please contact support@whaleops.com
AWS infrastructure support
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