Sold by: ChiefCloudsÂ
Deployed on AWS
ChiefClouds Data Platform is a unified data development and governance platform covering the end-to-end lifecycle, from data ingestion, development and orchestration to governance, quality, and consumption, enabling teams to build reliable data production at lower cost and higher velocity.
Overview
ChiefClouds Data Platform provides enterprise-grade capabilities across the full data lifecycle: multi-source batch and streaming ingestion, visual and code-based development, reliable orchestration with built-in observability, and comprehensive data governance including catalog, lineage, quality, access control, and compliance. It supports flexible deployments, offers an extensible connector ecosystem, and exposes open APIs/SDKs to integrate seamlessly with your existing warehouses, lake houses, messaging systems, and compute engines.
Key capabilities: Ingestion and Integration: Built-in connectors and templates for batch and streaming; visual mapping, transformations, and incremental sync. Development and Collaboration: SQL (Hive SQL/Spark SQL), JDBC, Shell, and Python compute components to build visual pipelines; versioning, code review, and environment isolation for team collaboration and DevOps. Orchestration and Observability: Dependency-driven workflow scheduling with retry, skip, blocking, alerting, and metrics; provides end-to-end run health and cost visibility. Governance and Compliance: Data catalog and metadata, technical and business lineage, data quality rules and assessments, sensitive data handling, fine-grained RBAC and auditing. Common use cases: enterprise warehouse/lake house, data middle platform, metric governance, real-time and near-real-time analytics.
Highlights
- End-to-end unified data lifecycle: ingestion, development, orchestration, governance, and consumption in one platform with a single metadata backbone to reduce fragmentation and operational overhead.
- Engineered for speed and reliability: visual plus code-first workflows, reusable templates and best practices, and robust scheduling with observability to ship data products faster and safer.
- Enterprise-grade governance and compliance: catalog, lineage, and quality; fine-grained access control and auditing; designed for secure operations across diverse environments.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c5.4xlarge Recommended | $10.00 |
c5a.4xlarge | $10.00 |
c6a.4xlarge | $10.00 |
c7a.4xlarge | $10.00 |
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You may terminate the instance at anytime to stop incurring charges.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Data Ingestion & Integration: New connectors and templates for batch and real-time data ingestion, with visual mapping, transformation, and incremental sync.
Data Development & Collaboration: Build pipelines with SQL, JDBC, Shell, and Python. Added version control, code review, and environment isolation for teamwork and DevOps.
Orchestration & Observability: Dependency-based workflow scheduling with retry, skip, alerts, and metrics. End-to-end monitoring and cost visualization.
Data Governance & Compliance: Data catalog, metadata and lineage tracking, data quality checks, sensitive data masking, and fine-grained access control with auditing.
Additional details
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