WhaleStudio Plattform

DataOps-Plattform für Datenorchestrierung, Datenintegration und Data Governance

Name: WhaleStudio
Brand: WhaleOps

WhaleStudio verbindet WhaleScheduler und WhaleTunnel in einem gemeinsamen Betriebsmodell, damit Teams Integrationen schneller bewerten, Rollouts sicherer planen und Datenprozesse besser steuern können.

Built for modern data teams Designed for enterprise rollout Available through AWS Marketplace

Workflow orchestration

Coordinate batch, near-real-time, and AI/ML workflows from one control plane to improve release speed and operational visibility.

Broad integration coverage

Move data across databases, lakes, warehouses, SaaS apps, and streams with broad connector coverage and CDC-ready delivery patterns.

Governance and operations

Centralize monitoring, SLA awareness, lineage, and release control so teams can scale without adding fragmented tooling.

WHY WHALESTUDIO

Bridge the gap between product discovery and rollout planning

Use WhaleStudio when buyers need a clear platform story before they choose rollout scope, engagement path, or deployment model.

Align teams faster

Give data engineering, analytics, platform, and security teams one shared view of workflow design, data movement, and operational control.

Reduce evaluation friction

Keep buyers on-site longer with a clearer explanation of product roles, rollout stages, and next-step options.

Scale with governance

Add monitoring, lineage, auditability, and operational standards as data volume, stakeholders, and compliance requirements grow.

CORE STRENGTHS

Enterprise-grade reliability, security, and delivery readiness

Built for enterprise rollout. WhaleStudio combines a hardened open-source foundation with stronger operational control, security, and deployment consistency.

Fully proprietary in-house development, with an extensive and active global developer ecosystem

Full cloud-native compatibility, delivering unified batch-stream workflow orchestration for both real-time and offline workloads across cloud, data lake, and data warehouse environments

Low-code capabilities that enable enterprises to build a unified big data operating system and high-speed data transmission pipelines with minimal coding effort

Native support for high-performance real-time Change Data Capture (CDC) and batch data integration

Pre-built connectors for 100+ data engines, cloud services, and SaaS applications

End-to-end DataOps workflow enablement, with seamless integration with mainstream code management and development tools

Extensive data source compatibility and comprehensive support for traditional ETL data processing components

Enhanced observability and operability, empowering operation teams with streamlined maintenance and improved manual intervention capabilities for running workflows

Optimized scheduling for complex time-based scenarios, flexible and diverse trigger mechanisms, and robust support for leading data science platforms

Comprehensive role-based access control (RBAC), proactive vulnerability remediation, and a full-featured audit trail system

PRODUCT EDITIONS

Choose the edition that matches your rollout stage

Basic

Best for new teams and first production rollouts

Start with the capacity most teams need for early production use, onboarding, and initial platform standardization.

Data Volume 100 million rows / month

Workflow Scale 500 DAGs

Task Capacity 5,000 tasks

Enterprise

Designed for expanding teams and larger production estates

Scale throughput, security, and workflow coverage as more teams adopt the platform across business-critical environments.

Data Volume 1 billion rows / month

Workflow Scale 4,000 DAGs

Task Capacity 10,000 tasks

High Capacity

Built for the most demanding hybrid and business-critical workloads

Handle hybrid architectures, specialized operating models, and the largest data estates with advanced configuration flexibility.

Data Volume Unlimited row volume

Workflow Scale 12,000 DAGs

Task Capacity 30,000 tasks

COMPARE OPTIONS

Choose the right entry point

WhaleStudio

Best for teams evaluating an end-to-end platform

Need orchestration + integration + governance alignment
Want a shared platform narrative for multiple stakeholders
Need rollout planning before product selection

WhaleScheduler

Best for workflow orchestration first

Standardize scheduling and workflow control
Improve visibility, SLA management, and operations
Modernize existing scheduling stacks

WhaleTunnel

Best for data movement and connector coverage first

Need fast connector onboarding
Prioritize CDC, replication, and sync reliability
Expand data movement across modern stacks

EVALUATION PATHS

Pick the next step that matches buying intent

Talk to the team

Use a demo request when architecture review, migration planning, or stakeholder alignment matters most.

CONTACT SALES

Evaluate via AWS

Start procurement-ready trials or product evaluation through the WhaleOps AWS Marketplace seller profile.

Open AWS Marketplace