Sold by: XenonStackÂ
The "Data on EKS" solution is a modern data lakehouse architecture built on AWS Elastic Kubernetes Service (EKS). It enables scalable, modular, and secure data ingestion, transformation, governance, and analytics using open-source and AWS-managed tools. The solution supports both real-time and batch processing to meet diverse enterprise data requirements.
Overview
Product Features
Product Benefits
Unified Architecture
Open Standards
High Performance
Faster Insights
Fine-Grained Governance
Cost Optimization
Enterprise Flexibility
Key Components:
Apache Iceberg: Open table format enabling fast queries, ACID compliance, and time travel
Apache Kafka: Real-time data ingestion
Apache Spark: Data transformation and enrichment
Apache Airflow: Pipeline orchestration
Trino: Query engine
Superset: BI & dashboarding
Unity Catalog: Metadata management
Apache Ranger: Access control and governance
Use Cases
Use Cases Primary Use Cases:
Unified batch and streaming pipelines for large-scale data processing
Building enterprise-grade data lakes with fine-grained governance
Democratizing data access through SQL and dashboards
Real-time alerting and operational analytics
Industry-Specific Applications:
Retail
Financial Services
Healthcare
Telecom
Product-Specific Information
AWS Services Used: Amazon EKS, Amazon S3, AWS DMS, IAM, CloudWatch, Secrets Manager
Open-Source Tools: Apache Kafka, Spark, Iceberg, Trino, Airflow, Ranger, Superset
Security Model: RBAC via Ranger, encryption via S3-SSE and TLS, scoped IAM roles
Supported Workloads: Streaming ingestion, batch ETL, ad hoc SQL, interactive dashboards
Scalability: Kubernetes-native autoscaling for pods and compute resources, modular microservices design
Highlights
- Modernizes data architecture with a governed, scalable, and cost-effective platform.
- Enhances productivity across data roles, improving efficiency.
- Supports rapid decision-making through real-time insights.
Details
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Delivery method
Deployed on AWS
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Pricing
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