Oracle reported revenue growth on the back of cloud infrastructure services and SaaS sales, and is looking at a massive cloud region expansion.
Stories by Anirban Ghoshal
Snowflake's updates include the introduction of support for Python on Snowpark, data access capabilities, and external tables for on-premises storage.
Snowflake now offers developers the ability to build and run apps on a common cloud-based data platform and leverage its Data Marketplace.
Updates include new analytics capabilities, a data lake for its Atlas database as-a-service, and the ability to query encrypted data.
Despite talk of the pandemic slowing down, concerns around supply chain are continuing to grow, with a shortage of semiconductors a top issue.
Informatica looks to solve the challenges of unstructured and siloed data by combining machine learning capabilities with specific integrations.
CloudFlare claims that its new serverless database will reduce data transfer fees and latency for developers when compared to rival databases.
As enterprises step up efforts to enhance customer experience, Oracle is integrating data from its Unity CDP into its Oracle Service application.
Google Cloud's AlloyDB for PostgreSQL has moved into public preview and will take on offerings from AWS and Microsoft in the red-hot PostgreSQL market.
The solutions aim to unify and analyse data from manufacturing assets and will compete with similar offerings from AWS, Oracle, Microsoft and IBM.
Data lakehouses combine the storage and analytics features of data warehouses and data lakes, with vendors like Databricks offering solutions for specific industries.
A PwC survey covering operations and tech leaders has identified three main roadblocks stopping them from digitising supply chain operations.
Oracle ME, an employee experience suite, is aimed at resolving workforce challenges such as attrition in the wake of the pandemic.
Google Cloud has released a new fully managed search tool aimed at retailers concerned about product discovery on their digital platforms.
Databricks new ETL framework aims to cut down the time taken by data scientists and engineers setting up reliable data pipelines and managing infrastructure.