Maria's journey in the data fields

If you want to make DATA a part of EVERYDAY decision-making, then you must try this amazing Data Analysis Platform. Dataiku is a tool for everyone, it has Notebooks and Python for Coders, Visual data flows for Clickers, relationships, statistics and visual data forecasting for Decision Makers. It's technology agnostic, you can install it on a public cloud, use it as SaaS service or install on-premises. You also can choose ANY DATA PROCESSING ENGINE that will process your workload, use Azure Synapse, Spark or Sql Server and analyze the data WITHOUT ANY DATA MOVEMENT, in "a spreadsheet" like manner.  Dataiku has many enterprise-scale features, like build-in flow audit, Data Quality features, easy deployments between Dataiku environments and much more. https://www.dataiku.com/

  Azure CosmosDB is a modern distributed data store that can handle any data volume, any data velocity ( data arrival speed) and any data variety (different types of data). CosmosDb requires minimal setup and management efforts. It is very easy to integrate CosmosDB into your existing data infrastructure using various APIs that can either mimic your existing data management systems, like MongoDB, PostgreSQL or Cassandra and provide you with under 10s latency from anywhere, 99.999% availability and instant scalability. From the cost perspective, storage costs and utilization costs are almost the same regardless of which API you are planning to use. There is neither an autoscale nor serverless option for PostgreSQL API. Serverless NoSql API,  Serverless   Gremlin API,  Serverless  MongoDB API,  Serverless  Cassandra API and Serverless Table API are available as only as Single Region write architecture. If you are interested in Multi-region write cluster, you will need to use "Provis