Databricks Data + AI Platform

Exabyte-scale fully managed data warehouse (formerly ODPS) optimised for batch analytics on structured and semi-structured data, with SQL, MapReduce, and Spark computation engines, columnar storage, and tight integration with DataWorks

Petabyte-scale columnar data warehouse with concurrency scaling, federated queries, and a serverless option for unpredictable workloads

Serverless interactive query service that runs ANSI SQL directly on S3 data lakes with per-query pricing, Apache Iceberg and Hudi table formats, and Glue catalog integration

Managed big-data platform for running Apache Spark, Hive, Presto, Flink, Trino, and HBase across EC2, EKS, and fully serverless deployments with up to 5x faster Spark runtime and Graviton price-performance

Unified analytics service combining data warehousing and big data processing with dedicated and serverless SQL pools, Apache Spark, Data Integration pipelines, and Power BI embedded

First-party Microsoft-co-engineered deployment of the Databricks Lakehouse with native Entra ID sign-in, private networking, serverless SQL warehouses, Unity Catalog governance, Delta Lake storage, and Azure Portal billing — the sanctioned way to run Databricks inside an Azure subscription

End-to-end SaaS analytics platform unifying Data Factory, Synapse (Warehouse, Data Engineering, Real-Time Intelligence, Data Science), Power BI, Activator, and Purview around OneLake — a single cross-workload Delta-Parquet data lake, with capacity-based licensing

Managed open-source analytics clusters for Hadoop, Apache Spark, Apache Hive LLAP, Apache Kafka, and Apache HBase with enterprise security via Enterprise Security Package, autoscale, and integration with ADLS Gen2 — used mainly for migrating existing OSS big-data estates into Azure

Serverless SQL analytics warehouse optimised for BI workloads, with a native query editor, dashboards, visualisations, and connectors for Tableau, Power BI, and dbt

Serverless, highly scalable enterprise data warehouse with separated storage and compute, streaming inserts, BigQuery ML, federated queries across Cloud SQL and Spanner, and Omni for multi-cloud

Managed Apache Spark and Hadoop (formerly Dataproc and Serverless for Apache Spark), offered as per-second-billed clusters on Compute Engine or as serverless Spark batches and sessions, with Flink, Trino and other open-source components.

MPP-architected cloud data warehouse based on Huawei's openGauss kernel with PostgreSQL compatibility, standard and stream data loading, columnar and row storage, and native integration with MRS (MapReduce Service) and OBS

Fully managed big-data platform running Apache Spark, Hive, HBase, Flink, Hadoop, and Kudu clusters with autoscaling, Kerberos security, and integration with OBS for compute-storage separation

Unified data platform, based on ForePaaS, combining connectors, an ETL/ELT processing engine, an Apache Iceberg lakehouse, a Trino-based analytics and dashboard manager, and serverless app services. Compute is billed per vCPU-hour and data scanned; there is a free tier.

Serverless analytics data warehouse — Google BigQuery operating under S3NS's French sovereign boundary. Same standard SQL surface as commercial BigQuery with datasets confined to French geography, BQML for in-warehouse ML, and integration with S3NS Cloud Storage as an external source.

Cloud-native data warehouse with separation of compute and storage, supporting structured and semi-structured data

Managed big-data platform running Apache Spark, Hadoop, Hive, HBase, Flink, Presto, and ClickHouse with autoscaling, Kerberos authentication, integration with COS for compute-storage separation, and Jupyter notebooks for interactive analysis