Azure Synapse Analytics

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

Real-time cloud data warehouse family with MySQL-compatible and PostgreSQL-compatible editions, MPP query engine, compute-storage separation and lakehouse integration

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

Serverless distributed SQL engine for querying Apache Iceberg tables in Basin Catalog without provisioning or scaling query clusters. Formerly R2 SQL; GA since October 2026.

Unified data lakehouse combining the reliability of data warehouses with the scale of data lakes, built on Delta Lake with ACID transactions, schema enforcement, and time travel

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

Managed Hadoop ecosystem clusters (Hadoop, Spark, Hive, HBase and more) for big-data processing

Oracle AI Database (26ai) delivered as a self-managing cloud service that automates tuning, patching, backups and recovery, for transaction processing, data warehouse and JSON workloads on serverless or dedicated Exadata infrastructure.

Managed Hadoop and Spark clusters built on Oracle Distribution including Apache Hadoop (ODH), with Hive, HBase, Spark, Trino and Ambari management, highly available master/worker/edge nodes and OCI integrations.

Serverless managed Apache Spark — submit a Spark job, OCI runs it on transient infrastructure, returns the result. No cluster to manage; pay per OCPU-second of execution.

Managed pay-per-use data warehouse that consolidates data from multiple sources into a common model for analysis, with support for MapReduce clusters and HDFS data

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.

Managed ClickHouse columnar data warehouse for real-time analytics, with 3-AZ high availability, 14-day automatic backups, tiered storage, Parquet/Iceberg/Delta Lake support, BI connectors and vRack private networking.

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.

Managed ClickHouse® analytical data warehouse with autoscaling compute, sharding and replication, Private Network support and BI tool connectivity; generally available since March 2026 in Paris and Milan

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

Open-format table support letting Snowflake query, write, and govern Apache Iceberg tables stored in customer-owned cloud storage — full Snowflake performance without vendor lock-in

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