Chronosphere vs Qumulo: Revenue, Funding & Team size compared. Chronosphere generates $160M in revenue; Qumulo generates $115.7M. Chronosphere is 1.4x bigger than Qumulo by revenue. The table below compares Chronosphere and Qumulo on funding, valuation, customers, team size and headquarters - every figure GetLatka has verified for each company. | Company | ChronosphereThis company | Qumulo | | Revenue | $160M | $115.7M | | Valuation | $3.4B | $1.2B | | Funding raised | $254.4M | $345.5M | | Team size | 307 | 569 | | Growth | 278.1% | Not disclosed | | Founded | 2019 | 2012 | | HQ | New York, United States | Seattle, United States | Want the full dataset? GetLatka tracks revenue, funding and team history for thousands of SaaS companies, with charts, growth rates and founder interviews. Chronosphere at a glance. Chronosphere generates $160M in revenue with 307 employees, headquartered in New York, United States. * Revenue - $160M * Valuation - $3.4B * Funding - $254.4M * Team size - 307 * Founded - 2019 Chronosphere is a cloud-native monitoring and observability platform that helps businesses manage and analyze their complex infrastructure and application environments. The platform provides real-time metrics, logs, and tracing data to... Qumulo at a glance. Qumulo generates $115.7M in revenue with 569 employees, headquartered in Seattle, United States. * Revenue - $115.7M * Valuation - $1.2B * Funding - $345.5M * Team size - 569 * Founded - 2012 Modern enterprises have to manage exponentially-growing exabyte-scale data stores comprised mostly of unstructured data. Someone (often IT) has the difficult job of staying on top of managing these data stores, which becomes more difficult... Other Chronosphere alternatives. Chronosphere competes with more than the companies on this page. Browse the full alternative lists to compare revenue, funding and team size across the category. Chronosphere vs Qumulo: frequently asked questions. Is Chronosphere or Qumulo bigger? Chronosphere is the bigger company by revenue, at $160M against $115.7M for Qumulo. How much revenue does Chronosphere make? Chronosphere generates $160M in annual revenue with a team of 307. How much revenue does Qumulo make? Qumulo generates $115.7M in annual revenue with a team of 569. How much funding has Chronosphere raised? Chronosphere has raised $254.4M in total funding since it was founded in 2019. How much funding has Qumulo raised? Qumulo has raised $345.5M in total funding since it was founded in 2012.

Qumulo announces NeuralSearch and ISV partnership with Databricks. Qumulo partners with Databricks to unify governed access to data for AI and analytics by integrating OpenSharing with Qumulo NeuralSearch. Qumulo, announced a partnership with Databricks, integrating Qumulo NeuralSearch with Databricks OpenSharing, the first open protocol to cover agent skills, AI models, and unstructured data.Customers can discover, query, and collaborate on tabular data across core, cloud, and edge environments, without replicating the data or adding operational complexity. The result: a single, geo-distributed view of enterprise data via Unity Catalog that spans locations, regions, and cloud providers. "By combining Qumulo NeuralSearch with [Databricks] OpenSharing, we're enabling customers to securely discover, query, and collaborate on data across data centers, edge locations, and public clouds, in real time, without moving the data itself." NeuralSearch is Qumulo's storage-native search platform. It turns unstructured data into searchable intelligence using SQL, natural language, and semantic search with no crawlers or third-party indexing required. NeuralSearch is built into Qumulo's Data Platform, including Cloud Data Fabric. With OpenSharing and Qumulo, users can discover and access datasets across on-premises, remote locations, and cloud regions and providers without replicating data. For Chief Data Officers and VPs of Data Analytics, governing massive unstructured data sets while accelerating time-to-value for AI is a critical challenge. This integration empowers organizations to fuel Generative AI, Retrieval-Augmented gen (RAG) applications, and advanced analytics. By securely connecting Databricks compute directly to Qumulo's edge-to-core storage framework, data teams can drastically reduce the latency traditionally associated with geo-distributed workloads, accelerating time-to-insights without the burden of constant data replication. "Organizations can no longer afford the cost, complexity, and delays of copying massive datasets across environments just to support AI and analytics," said Brandon Whitelaw, SVP and head, product, Qumulo. "By combining Qumulo NeuralSearch with OpenSharing, we're enabling customers to securely discover, query, and collaborate on data across data centers, edge locations, and public clouds, in real time, without moving the data itself. Together, we're helping organizations accelerate AI initiatives, simplify governance, and unlock faster insights from distributed data, all while maintaining a single source of truth." As enterprises scale agentic AI, AI applications, and advanced analytics, open access to governed data across distributed environments is becoming increasingly critical. By combining Qumulo's distributed data capabilities with the Databricks Data + AI Platform, customers can build and scale AI workloads on trusted, accessible data without creating additional silos. Marked by successful market and technical validation of the Qumulo Data Platform, the Databricks partnership allows Qumulo to support a massive market by offering an open architecture that avoids vendor lock-in for customers in verticals such as financial services, life sciences, and manufacturing. The collaboration enables seamless data flows between storage and advanced AI analytics tools across all major cloud providers. The key strategic advantages for joint customers include: * Open access to data across the enterprise: Qumulo leverages distinct technical advantages over rivals, notably its robust multi-format support. It seamlessly handles open table formats like Apache Iceberg and Delta Lake, alongside their underlying file formats like Parquet, simultaneously. It also serves as a unified file and object platform, being the first to seamlessly project data across multi-region and multi-cloud environments * Unified Governance for AI: By integrating with OpenSharing, Qumulo brings globally distributed data under Databricks Unity Catalog, ensuring centralized governance, security, and compliance across the entire data lifecycle * Workflow Acceleration: By allowing data to flow smoothly from Qumulo through Databricks for transformation, the partnership accelerates the "time-to-data-product" and reduces data cleansing overhead "Customers consistently tell us they want the freedom to leverage their enterprise data across a broad ecosystem without being constrained by proprietary architectures," said Stephen Orban, SVP, product ecosystem & partnerships, Databricks. "Our partnership with Qumulo reflects the commitment from Databricks to open platforms by enabling a non-proprietary, single source of truth for enterprise data, giving customers the architectural flexibility to seamlessly use their data across tools and environments." Read also: Powered by open source OpenSharing, our new storage partner ecosystem brings Databricks Data Intelligence Platform directly to your on-premises and hybrid infrastructure - without copying a single byte Top News By Philippe Nicolas June 24, 2026 | News A new open standard for sharing of data and AI assets across platforms and organizations Enabling enterprises to seamlessly extend file workloads into the cloud instantly, avoiding multi-month hardware lead times without disruptive migration or application refactoring And increases GPU utilization with a 90%+ more effective, practical approach by eliminating staging delays, idle GPU costs, and the data-gravity constraints that slow AI In honor of National Cancer Research Month, Qumulo spotlights research into cancer treatment breakthroughs