Onehouse.ai: The Universal Data Lakehouse for Modern Data Workloads

Onehouse.ai is a cutting-edge, open-source-friendly data platform designed to unify and optimize data lakehouse architectures across multiple cloud environments. Built by the original creators of Apache Hudi™, it empowers data engineers, analysts, and AI teams to break free from vendor and format lock-ins while achieving minute-level data freshness, lightning-fast ingestion, and up to 30x faster queries. With a focus on interoperability, security, and cost efficiency, Onehouse.ai delivers a seamless experience for building scalable, real-time analytics, data science, and generative AI pipelines. Its managed services and advanced engine optimizations make it ideal for organizations aiming to modernize their data infrastructure without sacrificing control or flexibility.

Key Features:

• Universal Data Lakehouse Architecture: Unified platform supporting Apache Hudi™, Apache Iceberg™, and Delta Lake table formats with full interoperability.
• Quanton™ Engine: Purpose-built execution engine that delivers 2-3x better SQL and Spark price/performance.
• Lakehouse Table Optimizer: Fully managed service that boosts Hudi performance and reduces costs by up to 80% without code changes.
• Lightning-Fast Data Ingestion: Supports CDC from PostgreSQL, MySQL, MongoDB, SQL Server, Kafka streams (Confluent Cloud, Amazon MSK), and cloud storage (S3, GCS) with low-latency, continuous pipelines.
• Serverless Spark Compute: Adaptive, auto-scaling clusters with workload-aware optimization for cost-effective processing.
• Open Engines Deployment: Deploy open-source compute engines (e.g., Spark, Trino, Ray) in minutes with no data migration.
• Multi-Catalog Synchronization: Seamlessly integrates with Snowflake, Databricks, BigQuery, and other query engines.
• Automated Data Management: Intelligent incremental clustering, async compaction, schema evolution, auto data discovery, and data quality validation with bad record quarantine.
• Automated Vector Embeddings: Native support for GenAI and LLM use cases with automated vector generation and storage in data lakehouse.
• Query Anywhere: Use data across any workload—warehouses, query engines, AI/ML platforms, vector databases—without moving data.
• Secure & Compliant: Deployed within the user’s VPC; compliant with SOC2 Types I and II and PCI DSS.
• Open-Source Contributions: Active development and support of Apache Hudi and Apache XTable™ (Incubating), including open-source tools like Lake Loader™.
• Free Tools & Resources: Includes free access to LakeView (for performance insights), a free cost savings estimator, Spark Cost Analysis Tool, and a 30 Minutes for 30% Savings program.
• Multi-Cloud Availability: Runs on AWS, GCP, and upcoming Azure support, enabling flexible, cloud-native deployment.

Pricing: Onehouse.ai offers a free trial with $1,000 in credit for 30 days, along with free tools like LakeView and cost analysis resources. The platform uses simple usage-based pricing for its managed services, making it accessible for teams of all sizes.

Conclusion: Onehouse.ai stands as a transformative force in data infrastructure, combining open-source excellence with managed innovation to deliver a high-performance, secure, and future-ready lakehouse platform—perfect for teams driving real-time analytics, AI/ML, and scalable data operations.