Microsoft at PostgresConf US 2018
At Microsoft, our approach is to listen to customers and bring solutions and tools that can help solve their problems.
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Azure Databricks, industry-leading analytics platform powered by Apache Spark™
The confluence of cloud, data, and AI is driving unprecedented change. -
Making Azure the best place for all your applications and data
The confluence of cloud, data and AI is driving unprecedented change. -
Connect(“2017”).GetTopAnnouncementsList (“Cloud”,”Data”,”AI”);
Introducing Azure Databricks, Azure Cosmos DB with Apache Cassandra API, and Azure Database for MariaDB, to name a few… -
Microsoft’s Azure SQL Database ranked #1 Database as a Service for developer satisfaction by SlashData
Today we’re excited and honored to be recognized for three Developer Satisfaction awards from SlashData, a leading analyst firm in the developer community. -
Microsoft at PostgresOpen 2017
Earlier this year at Microsoft Build, we announced the public preview of Azure Database for PostgreSQL. -
Azure SQL Data Warehouse previews 3x compute scale with unlimited columnar storage
Today we are making an exciting announcement. Azure SQL Data Warehouse is increasing its compute scale threefold, raising the compute scale from 6,000 to 18,000 Data Warehouse Units (DWU) so that customers can run their most compute intensive data warehouse workloads in the cloud. -
Microsoft extends Azure managed database services with introduction of MySQL and PostgreSQL
As we look across what is happening at Microsoft Build, we are excited to announce the preview of managed database services with Azure Database for MySQL and Azure Database for PostgreSQL. -
New options to modernize your application with Azure SQL Database
In today’s cloud-centric world, enterprises increasingly focus on their core competencies while relying on their cloud provider to offer an affordable, worry-free computing infrastructure that scales with their needs. -
Microsoft Azure SQL Database provides unparalleled performance with In-Memory technologies
In-Memory technologies are now generally available in Azure SQL Database, to optimize performance of transaction processing, analytics, as well as hybrid transactional and analytical workloads (HTAP).