Rebuilding Data Engineering
Data engineering deserved a rebuild. Every data team we've ever met has the same number on the wall: a request backlog measured in weeks or months, and getting worse. We built Tabsdata because that number finally became fixable — but not by adding another tool to the pile.
Two Decades in Data Infrastructure
Tabsdata's founding team built StreamSets, the enterprise data integration platform that is now part of IBM. A couple of decades in this industry teaches you one uncomfortable lesson: the data request backlog survives every generation of tooling. Warehouses got faster, pipelines got easier to write, catalogs got prettier — and the queue kept aging, because every new tool added another disconnected system whose context lived somewhere else.
AI agents changed the math — but only in principle. An agent bolted across disconnected tools inherits all of their blindness. The backlog becomes fixable only if the agent and the infrastructure are one system: every table versioned, every execution traced, every definition current, and a human approving every change. That's the system we built. That's Tabsdata.
What We Won't Trade Away
Safe by Construction, Not by Supervision
Agent safety has to come from the architecture — versioned immutable state, native lineage, human approval gates — not from hoping the model behaves. If safety is a policy, it will be bypassed. If it's the substrate, it can't be.
Amplify Engineers, Don't Replace Them
Tabsdata exists to give data engineers their judgment back — the agent handles discovery, duplication checks, and boilerplate, and the engineer makes the calls that matter. The measure of success is a team doing more consequential work, not a smaller team.
Land Beside the Stack, Not on Top of It
Data Lakes and Data Warehouses are destinations, not enemies. We earn our place on net-new workloads, prove the number, and expand from there. No rip-and-replace, ever, as a precondition.
Meet Our Team
Tabsdata is headquartered in Sunnyvale, California, and was founded in 2024 by Alejandro Abdelnur and Arvind Prabhakar. We're backed by top-tier Silicon Valley investors.
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Build With Us
Join us in solving the complexity of data integration. Help us build the foundational tools that turn fragmented data into reliable insights for teams worldwide.
