WhaleStudio: A Unified Data Integration & Orchestration Platform(SaaS)
WhaleOps · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
WhaleStudio is a commercial data integration and orchestration platform designed to help teams build, schedule, and monitor data pipelines in a centralized way.
The platform supports a wide range of batch and streaming scenarios through more than 30 built in job types, an intuitive low code drag and drop interface, and over 290 ready to use connectors covering databases, SaaS applications, messaging systems, and IoT data sources. These capabilities enable users to manage data synchronization and workflow orchestration with minimal operational overhead.
Show the rest of the publisher’s description (2 more lines)
WhaleStudio is based on the open source Apache DolphinScheduler and Apache SeaTunnel projects, combining their core scheduling and data integration capabilities into a commercially supported platform. The product extends the open source foundations with additional management, observability, and operational features to support production data workloads.
As a SaaS offering on AWS Marketplace, WhaleStudio is delivered as a fully managed service. Each subscription includes a system project per account and comes with 1,000 credits per month, which can be used to execute scheduling or data synchronization jobs. Usage beyond the included credits is billed on a pay as you go basis, allowing teams to scale workloads according to their actual usage without upfront capacity planning.
Highlights
Highlighted by the publisher on AWS Marketplace.
Integrated data pipeline management Build, schedule, and monitor ETL and data synchronization workflows within a centralized platform, supporting common data integration and orchestration use cases.
Flexible workflow development options Design workflows using a low code drag and drop interface, or extend them with SQL, Python, and Java to support custom logic and advanced processing requirements.
Extensive connectivity across data sources Integrate batch and change data workloads using over 290 pre built connectors, covering databases, SaaS applications, data lakes, messaging systems, and IoT data sources.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
2 listed- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
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.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.