Dremio
United States · www.dremio.com · 14 vendors
Dremio is a data analytics company that provides an open data lakehouse platform, enabling self-service analytics with data warehouse functionality and data lake flexibility. It allows users to perform direct SQL queries on data lakes without data movement, simplifying data access and accelerating insights for enterprises. The platform is built on open standards like Apache Iceberg and Apache Arrow, aiming to reduce vendor lock-in and optimize query performance.
Resilience scores
- Digital Sovereignty: 79
- Digital Resilience: 8
Technology vendors
- Adobe Inc. — Technology — United States
- Google LLC — Technology — United States
- WP Rocket — Technology — France
- and 11 more
Services catalogue
2 services in catalogue across 2 categories; runs on 14 sub-vendors.
- Data Lake Analytics
- Data Query Engine
Insights
Last updated 2026-07-30 · revision 1
14 direct vendors, 243 subvendors
Direct vendors by controlling owner country (sample)
- Denmark: 1
- France: 1
- United States: 11
Subvendors by controlling owner country (sample)
- Luxembourg: 1
- Australia: 2
- Unknown: 1
Migration Readiness: 9/10
Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.
Dremio demonstrates very high migration readiness, scoring 90. This is primarily driven by its inherently cloud-native, containerized, and multi-cloud technical architecture. The company's internal tech stack includes major public cloud providers (AWS, Azure, GCP), Kubernetes for orchestration, and Docker, indicating a highly portable and flexible infrastructure. The Dremio Enterprise product itself can be deployed on-premises, in a private cloud VPC, or in public clouds via Kubernetes, showcasing built-in migration flexibility. A significant strength is the extensive use of open standards such as Apache Iceberg (table format), Apache Arrow (query engine runtime), and Apache Polaris (open catalog). These open standards drastically reduce data vendor lock-in, making it much easier to migrate data and workloads between different platforms or cloud providers without proprietary format conversions. The company also integrates with modern identity providers like Okta, Microsoft Entra ID, and Google Identity, simplifying identity management during migration. The main limitations to a perfect score are the lack of specified regulatory environment and data residency requirements, which could introduce complexities if strict compliance is needed during migration. Additionally, financial stability data (revenue concentration, growth) is missing, which could impact the ability to fund large-scale migration efforts. While the vendor relationships indicate 16 services from vendors in 3 unique countries, the specific vendor lock-in risk is stated as "Unknown," and the total number of distinct vendors is confusingly listed as 0. Assuming a reasonable diversity of vendors for these 16 services, the overall vendor landscape appears manageable. However, without explicit details on vendor lock-in for critical services, a minor degree of uncertainty remains. Overall, Dremio's architecture is exceptionally well-suited for migration.
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