The concept of generative AI is gaining significant attention across various industries and is considered a key element of the ongoing technological revolution. Referred to as “GenAI,” this technology has the potential to revolutionize sectors such as finance, healthcare, and law.
While user-facing applications receive a lot of hype, it’s the companies driving this transformation that are reaping the most benefits. Recently, Nvidia briefly held the title of the world’s most valuable company, largely driven by the demand for AI computing power.
In addition to GPUs, businesses require robust infrastructure for managing data flow, including storage, processing, training, and analysis. This infrastructure is essential for unlocking the full capabilities of AI.
Onehouse, a startup founded by Vinoth Chandar, is capitalizing on this need by offering a managed data lakehouse platform that leverages the Apache Hudi project. Hudi bridges the gap between data warehouses and data lakes, enabling real-time querying and indexing on large datasets.
The platform simplifies data ingestion and standardization into open data formats, facilitating integration with major tools in the data science, AI, and machine learning ecosystems.
With a recent $35 million Series B funding, Onehouse is introducing new products to enhance Hudi’s performance and reduce cloud storage and processing costs.
Down at the (data) lakehouse
Hudi, an open-source project adopted by major companies like Amazon and Disney, addresses the complexities of managing data in a data lake by bringing features of data warehouses to the mix, such as ACID transactions and improved metadata management.
Onehouse’s fully-managed platform simplifies the deployment of Hudi, enabling companies to establish an operational data lakehouse quickly and efficiently.
The company’s latest offerings, Onehouse LakeView and Table Optimizer, aim to enhance observability and optimize data ingestion processes, respectively.
‘Open and interoperable’
In the evolving data management landscape, Onehouse stands out with its focus on an open and interoperable system that eliminates vendor lock-in. By providing accessibility to data across various platforms, including Databricks, Snowflake, and AWS, Onehouse aims to simplify data management and processing.
As data quality remains crucial for AI projects, companies need robust infrastructure to ingest, transform, and standardize data efficiently. Onehouse’s platform addresses these needs, positioning it as a key player in the AI data management space.
