Microsoft Fabric Notebooks vs Qubole

Microsoft Fabric Notebooks is a web-based coding surface for Apache Spark jobs and machine learning experiments. Data engineers and data scientists can import Jupyter .ipynb files and source files in .py, .scala, and .sql formats, then analyze CSV, TXT, JSON, Parquet, and Delta Lake data with Spark. Multiple lakehouses can be attached, with one pinned as default for local-path reads and writes. The Job Scheduler API handles parameterized runs, session and environment settings, runtime and lakehouse selection, monitoring, and cancellation. NotebookUtils works across ADLS Gen2, Azure Blob Storage, and Lakehouse storage and can retrieve Azure Key Vault secrets. Users can co-edit, see cursors and output, and comment on cells. Copilot can generate, refactor, summarize, validate, and repair code with approval. Security includes Entra ID authentication, encryption, private links, customer-managed keys, and outbound protection.

Qubole is a cloud data lake platform for data engineering, data management, streaming analysis, machine learning, data exploration, and ad-hoc analytics. It lists support for AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure, alongside Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow. Workbench lets users author, save, template, and share reports and queries, with optimized Presto SQL, Tableau and Looker integrations, and Git integration. The Assisted Pipeline Builder combines batch or streaming sources into streaming pipelines using fault-tolerant infrastructure. Qubole says it provisions, manages, and optimizes cloud resources, including workload-aware autoscaling and real-time spot buying. Security controls include encryption, role-based access, and integration with cloud IAM, Active Directory, and LDAP. The service states a 99.9% availability commitment, excluding scheduled and communicated maintenance. A 30-day full-featured trial is listed. Enterprise Edition is priced on request, billed per QCU per hr, and requires an annual contract; On-Demand is priced on request, billed per QCU per hr. Both exclude user fees; On-Demand lists them as $108 per user per month.