Microsoft SQL Server
MongoDB
PostgreSQL
MariaDB
SQLite
Redis
MySQL
CouchBase
Azure Synapse Analytics
Databricks Unified Analytics Platform
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Cloud Dataprep
GeoSpock
Delta Lake
Microsoft SQL Server Azure Synapse AnalyticsMicrosoft SQL Server might be a bit more popular than Azure Synapse Analytics. We know about 4 links to it since March 2021 and only 3 links to Azure Synapse Analytics. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: 5 months ago
You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: 11 months ago
This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / almost 3 years ago
Right now, AWS couldn’t be a better choice. AWS has been for many years—and continues to be—the market leader between all the cloud platforms. Whilst the competitors like GCP and Azure are catching up, they’ve still not toppled AWS which continues to be, by far, the biggest cloud provider. - Source: dev.to / about 3 years ago
A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago
You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago
Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
MariaDB - An enhanced, drop-in replacement for MySQL
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.