Open-Source Data Lakehouse
Open standards. Cloud-neutral data.
We build open-source data lakehouse platforms using modern, portable technologies that reduce vendor lock-in and support scalable analytics across cloud and hybrid environments. For organizations that want control over their data architecture.
Problems we solve
Vendor lock-in
Some organizations want to reduce dependency on a single vendor's pricing model, roadmap, and platform constraints.
Licensing costs at scale
Commercial licensing can become difficult to control as data volumes, users, and workloads scale.
Multi-cloud and hybrid requirements
Data lives across on-premises, OCI, AWS, and Azure — and your analytics platform needs to work across all of them.
Integration with existing Oracle environments
You run Oracle databases and EBS, but you want analytics on an open-source stack without losing access to Oracle data.
Scale limitations
Current analytics infrastructure cannot handle the volume, variety, and velocity of modern data workloads.
Talent availability
Open-source skills (Spark, Trino, Airflow) are more widely available and transferable than proprietary platform expertise.
Our capabilities
Lakehouse architecture design
Design a data lakehouse using Apache Iceberg table format, MinIO or OCI Object Storage, and open compute engines.
Apache Spark deployment
Deploy and tune Spark for large-scale data processing, ETL, and batch analytics on Kubernetes or OCI Data Flow.
Trino query engine
Set up Trino for interactive SQL queries across your data lakehouse, Oracle databases, and external data sources.
Apache Iceberg table management
Implement Iceberg for ACID transactions, schema evolution, time travel, and partition optimization on your data lake.
Apache Airflow orchestration
Build and manage data pipelines with Airflow for scheduling, monitoring, retry logic, and dependency management.
Apache Superset dashboards
Deploy Superset for self-service analytics, data exploration, and business dashboards without commercial BI licensing.
Platforms & tools we work with
Delivery Approach
Data source inventory, analytics requirements, platform evaluation, and architecture recommendations.
Lakehouse architecture, compute sizing, storage strategy, pipeline design, and governance framework.
Platform deployment, pipeline development, dashboard creation, Oracle data integration, and performance testing.
Documentation, team training, admin procedures, and optional ongoing managed services.
Managed Services Option
XperTier manages your open-source lakehouse platform — cluster operations, pipeline monitoring, Spark tuning, Airflow management, and infrastructure scaling.
What sets us apart
Open-source conviction
We believe in open standards. We build on technologies you can run anywhere — on OCI, on AWS, on bare metal.
Oracle integration expertise
We connect open-source analytics to your Oracle databases and EBS because we understand both worlds.
Production-grade deployment
We deploy open-source platforms with enterprise monitoring, security, backup, and operational procedures — not proof-of-concept setups.
Knowledge transfer built in
Every engagement includes documentation and training so your team can operate the platform independently.
Ready to get started?
Tell us about your environment and requirements. We will scope a delivery plan tailored to your organization.