Congrats Vinoth Chandar. It's great to see real open innovation being rewarded.
AI early funding rounds capture the headlines, but Lakehouses are quietly revolutionizing the Big Data that fuels them.
The term “Big Data” was popularized in the Hadoop era, primarily supporting unstructured content. Since then, object storage has replaced file systems for two key reasons:
Cost-efficiency from the separation of compute and storage.
Superior support for both unstructured and structured data.
EDW platforms with isolated storage, like Redshift, merely shift costs from on-premises to the cloud [pun intended]. In contrast, Lakehouses, built on open table formats, lower costs and disrupt vendor lock-in. This trend is evident with Databricks' acquisition of Tabular for an estimated $2-$3 billion and Onehouse's impressive $35 million Series B raise. More announcements in this space are sure to follow.
Astute investors recognize that the most impressive engine is inert without a fuel source. Similarly, data infrastructure is crucial for AI. From the boardroom to operations and the sales floor, data is as indispensable as the powerful generative AI algorithms and models that are transforming industries.
Forward-thinking VCs, such as Craft Ventures, are not only investing in high-profile areas like AI but also recognize that robust data infrastructure is essential for harnessing the full potential of AI and analytics.
Today, I am happy to announce our $35M series B funding round, led by Craft Ventures . The Craft team is well-renowned for its work with amazing SaaS companies. Michael Robinson is bringing the SaaS DNA to our board as we scale our customer base.
🏇 We remain laser-focused on building Onehouse as the most open and interoperable data lakehouse platform, with lightning-fast incremental data pipelines and unmatched cost efficiency, working seamlessly across clouds, warehouses, compute engines and data table formats.
✨ Customers have been clamoring for an open data architecture that decouples data into open formats from compute engines for over five years now. With recent support for open table formats across all major players and the mainstream focus on interoperability, the market feels right for this big shift.
🙌 In such a world, Onehouse will continue to be the agent of change, advocating for using the right engines for the right workloads on your data.
On the personal front, building an independent company with an ambitious vision in a large market like data is not for the faint of heart. I sincerely thank everyone on the team, my family and my friends; this could not have been possible without their support.
Until next time, back to work for our customers and the open-source data community.
Checkout the full blog here
https://lnkd.in/gvqVyUdH
#dataengineering #bigdata #data #datawarehouse #datalake #datalakehouse #datamanagement #streamprocessing #datascience #machinelearning #opensource #startups #cloud
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CMO @ Fyrii | Building Fabric | IIT (ISM)'20
1moThis is well documented, good work!