BUSINESS SOLUTION

Data Engineering

Streamline Pipeline Construction and Access Fresher Data at Lower Costs

A purple and black background with letters all over it.

Simplify Data Ingestion & Preparation for Analytics, ML, and GenAI

Preparing analytics, machine learning, or genAI-ready data involves error-prone and complex tasks like data ingestion, transformation, modeling, and optimization.

Onehouse's auto-optimized data lakehouse automates essential tasks such as scaling Spark clusters, optimizing data layouts for queries, ensuring data quality, and fine-tuning configurations to enhance data ingestion efficiency.

Maximize Efficiency: Fresh Data, Cost Savings, and 24/7 Reliability

Data Freshness

Speed up data ingestion for BI, analytics, machine learning, or GenAI with optimized storage and ingestion. Get high performance without the need for deep expertise in Spark or databases.

Cost Savings

Cut costs by reducing data duplication and storage expenses, streamlining ingestion and ETL processes, automating features like clustering and compaction, and optimizing query performance for the task at hand.

Fully Managed

Say goodbye to the hassle of building pipelines from scratch, tweaking complex settings, managing and scaling Spark clusters, and having to debug data pipeline failures in the middle of the night.

Interoperable & Open

Stay in control of your data and query with any engine by storing data in open-source formats (Hudi™, Iceberg, Delta Lake) within your cloud buckets.

Key Features To Make The Data Engineer’s Life Easier

Ingestion: Fast, Low-Cost, and Infinitely Scalable

Unlock swift and cost-effective data ingestion with incremental data writing, streamlined Spark job multiplexing, and infinite scalability to handle datasets ranging from gigabytes to petabytes

Onehouse Data Integrations

A computer screen with a line graph on it.

Two dashboards with different data on them.

Robust Pipelines: Transformations, Quality Checks, and Seamless Integration

Enjoy data quality checks, quarantine options, and pre-built or custom transformations for tasks like flattening and parsing JSON. Manage schema changes effortlessly, sync catalogs with platforms like Glue, Snowflake, and Databricks, and write data in formats like Hudi, Delta, and Iceberg. Easily set up change data capture (CDC) ingestion and database replication from start to finish.

Efficient Data Management: Optimization, Time Travel, and Access Control

Automatically optimize tables with table services, benefit from time travel support for data retrieval, and implement robust access control measures for enhanced data security and management.

Three screens of a dashboard showing the time and location of a device.

A screenshot of two screenshots of a web page.

Secure Architecture: Data Processing and Storage in Your VPC

Keep data within your private cloud by storing and processing it within your Virtual Private Cloud. Deploy effortlessly using Terraform on AWS/GCP or AWS CloudFormation, and take advantage of existing commitments and discounts from your Cloud Service Provider.

Streamline Data Transformation and Validation

Easily build pipelines with pre-made and custom transformations to clean data during ingestion and table modeling. Ensure data quality by adding validations to the pipeline to identify and handle errors, and manage schema changes smoothly.

Two screens of a dashboard showing the time and location of a device.

Streamline Your Pipelines and Access Fresh Data  at Lower Costs with Onehouse.

get started today