Microsoft Fabric
The all-in-one AI-powered analytics platform for unified data simulation and real-time intelligence.
The Easy and Open Data Lakehouse Platform built for sub-second SQL queries and Git-like data management.
Dremio is a high-performance data lakehouse platform designed to provide a unified, self-service interface for data across diverse storage environments. Built on a foundation of open-source technologies including Apache Arrow, Project Nessie, and Apache Iceberg, Dremio eliminates the need for complex and costly ETL processes by allowing users to query data directly in-place. By 2026, Dremio has established itself as the premier solution for 'Git-for-Data' workflows, enabling data engineers to branch, merge, and version-control data lakes just like code. Its columnar cloud cache (C3) and 'Data Reflections' technology utilize Apache Arrow to deliver sub-second response times on petabyte-scale datasets. The platform's architecture is specifically optimized for modern AI workloads, providing the high-throughput data streams required for training Large Language Models (LLMs) and supporting vector search capabilities directly within the lakehouse environment. Dremio’s 2026 positioning emphasizes its role as the 'Open' alternative to proprietary data warehouses, championing a decentralized data mesh architecture that empowers analysts to access governed data across S3, Azure Data Lake, and Google Cloud Storage through a single SQL-compliant semantic layer.
Uses Apache Arrow to create and persist optimized physical representations of data that automatically accelerate various query patterns.
The all-in-one AI-powered analytics platform for unified data simulation and real-time intelligence.
Unify enterprise data warehousing and Big Data analytics into a single, limitless platform.
The hybrid data cloud for the complete data lifecycle and Enterprise AI.
The Business Cloud: Modernizing workflows through real-time data integration, AI, and intuitive app experiences.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Provides Git-like operations (commit, branch, merge) for Apache Iceberg tables.
A high-performance protocol for big data transfer that bypasses the bottlenecks of JDBC/ODBC.
An LLVM-based compiler for Apache Arrow that optimizes query expressions for high-performance SIMD instructions.
Automatically caches data from remote object stores onto local NVMe storage on executor nodes.
A virtual layer where users can define business logic and security policies across multiple sources without moving data.
Cloud-native compute engines that automatically scale up or down based on query concurrency.
Analysts face slow query times when connecting Tableau/PowerBI directly to S3/Parquet files.
Registry Updated:2/7/2026
Connect Tableau to Dremio via native connector to enjoy <1s dashboard refreshes.
Data scientists need a copy of production data for testing without doubling storage costs.
Querying data that is split between AWS S3 and Azure Data Lake without moving it.