Modern Data Platforms

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts.

Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers.

Data build tool (dbt) is a command line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into your data warehouse.

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness — no more complex workarounds or compromises needed.

Stitch is a cloud-first powerful Extract, Transform, Load (ETL) service, which integrates your various data sources into a central data warehouse.

BigQuery, Google’s serverless, highly scalable enterprise data warehouse, is designed to make data analysts more productive with unmatched price-performance. Because there is no infrastructure to manage, you can focus on uncovering meaningful insights using familiar SQL without the need for a database administrator.

Amazon Redshift is a fully-managed petabyte-scale cloud based data warehouse product designed for large scale data set storage and analysis. It is also used to perform large scale database migrations.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Azure Data Warehouse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.

Elasticsearch is a distributed, open source search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.

Qlik provides an end-to-end platform which includes data integration, user-driven business intelligence and conversational analytics. 

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

ThoughtSpot is a next-generation search and AI driven analytics platform that empowers non-technical people to answer their own data questions through a simple Google-like search function.

Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.

Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.

Tableau is business intelligence software that helps people see and understand their data. It helps people transform data into actionable insights.

Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud.

Azure Machine Learning offers web interfaces & SDKs so you can quickly train and deploy your machine learning models and pipelines at scale.

BigQuery, Google’s serverless, highly scalable enterprise data warehouse, is designed to make data analysts more productive with unmatched price-performance. Because there is no infrastructure to manage, you can focus on uncovering meaningful insights using familiar SQL without the need for a database administrator.

Cloud Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way.

Amazon Web Services (AWS) provides on-demand cloud computing platforms to individuals, companies, and governments.

Google Cloud Platform is a cloud computing platform and infrastructure created by Google to provide a variety of cloud services, including those for analytics, computing, data storage and networking.

Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.