Qubole is a technology company.
Qubole has raised $78.0M across 5 funding rounds.
Key people at Qubole.
Qubole has raised $78.0M in total across 5 funding rounds.
Key people at Qubole.
Qubole has raised $78.0M in total across 5 funding rounds.
Qubole's investors include Dell Technologies Capital, Long Journey Ventures, Moment Ventures, Norwest Venture Partners, Scale Venture Partners, Vista Equity Partners, Scott Banister, DST Global, Fifth Wall, Floodgate, Founders Fund, GSV Acceleration.
Qubole builds an open, secure, multi-cloud data lake platform called Qubole Data Service (QDS), the first autonomous big data platform that self-manages, self-optimizes, and learns from usage to focus teams on business outcomes.[1][4][6] It serves data engineers, data ops, analysts, and data scientists at over 300 leading brands like Expedia, Disney, Epic Games, and Adobe, solving the complexity of end-to-end big data processing—including ETL, ad-hoc analytics, streaming, machine learning, and AI—across clouds like AWS, Azure, and Google Cloud.[1][2][4] By leveraging optimized open-source engines (Apache Spark, Presto, Hive, Airflow), it cuts cloud costs by 50%, automates infrastructure, supports 10x more users/data, and eliminates vendor lock-in for faster time-to-value.[1][2][6]
Qubole was founded by the team that built and ran Facebook's data platform, including authors of Apache Hive, bringing proven expertise in scalable big data systems.[2][5] Headquartered in Santa Clara, California, with offices in Bengaluru, New York, London, and Singapore, it launched as a self-service multi-cloud platform to democratize big data access.[2][5] Early traction came from enabling rapid cluster spin-up (under 5 minutes) on public clouds with autoscaling, attracting data scientists for ad-hoc and batch queries; it has since evolved into an Idera Inc. company, trusted by 300+ brands for innovation in the big data era.[1][5]
Key leaders include CEO Joydeep Sensharma and CTO (not specified in sources).[2]
Qubole rides the explosive growth of data lakes, AI/ML, and real-time analytics in a multi-cloud world, where organizations process massive volumes to innovate amid data-driven disruption.[1][2][7] Timing aligns with cloud elasticity demands and open-source dominance, countering vendor lock-in while automating what legacy Hadoop systems couldn't—self-optimizing for SLAs, variety, and volume.[4][6] Market forces like rising cloud costs and ML pipeline complexity favor its efficiencies, influencing the ecosystem by accelerating adoption (e.g., 300+ brands modernizing), boosting productivity, and enabling scalable pipelines that feed broader AI transformations.[1][7]
Qubole's autonomous platform positions it to expand in generative AI and streaming ML pipelines, leveraging multi-cloud openness amid hybrid cloud shifts and cost pressures. Trends like edge-to-cloud data flows and automated ops will amplify its edge, potentially growing influence via deeper integrations and acquisitions like its Idera tie-up. As data volumes explode, Qubole could redefine self-service lakes, sustaining momentum for brands chasing big data innovation.
Qubole has raised $78.0M across 5 funding rounds. Most recently, it raised $3.0M Series E in August 2019.