Big Data
cloud_upload Cloud Data Warehouses
Cloud-native data warehouse with separation of storage and compute, automatic scaling, zero-copy cloning, and support for semi-structured data with SQL interface.
Serverless, highly scalable data warehouse from Google Cloud with built-in machine learning, geospatial analysis, and pay-per-query pricing for petabyte-scale analytics.
Fully managed petabyte-scale data warehouse from AWS with columnar storage, massively parallel processing, and integration with AWS data lakes and BI tools.
Integrated analytics service from Microsoft combining data warehousing, big data, and data integration with on-demand query and provisioned resources.
Cloud data warehouse optimized for sub-second query performance on massive datasets using advanced indexing and caching, designed for interactive analytics.
analytics OLAP & Analytics Databases
Column-oriented OLAP database management system capable of real-time query processing on billions of rows with exceptional compression and aggregation performance.
Real-time analytics database designed for fast slice-and-dice analytics on large datasets with sub-second queries, time-series optimization, and streaming ingestion.
Real-time distributed OLAP datastore designed for low-latency, high-throughput analytics on fresh data with user-facing analytics workloads at massive scale.
In-process SQL OLAP database management system designed for analytical queries with excellent performance for aggregations, window functions, and complex SQL.
Distributed analytics engine providing SQL interface and multidimensional analysis (OLAP) on Hadoop with pre-computation for extremely fast query performance.
water_drop Data Lakehouse Platforms
Unified analytics platform built on Apache Spark combining data warehousing, data engineering, and machine learning with collaborative notebooks and Delta Lake.
Open-source storage layer providing ACID transactions, scalable metadata handling, and unified streaming/batch data processing on top of data lakes.
Open table format for huge analytic datasets with ACID transactions, time travel, schema evolution, and partition evolution for data lakes.
Data lakehouse platform with SQL query engine, semantic layer, and reflections for accelerating queries on data lakes without moving or copying data.
speed Real-Time Analytics
Real-time analytics database built on RocksDB with millisecond query latency, auto-indexing, and SQL support for operational analytics on streaming data.
Distributed SQL database with in-memory row store and disk-based column store, delivering fast transactions and analytics in a single unified engine.
Next-generation sub-second MPP database for full analytics scenarios including multi-dimensional analytics, real-time analytics, and ad-hoc queries.
MPP-based real-time analytical database designed for sub-second query response times on large datasets with MySQL protocol compatibility.