Big data

Streamline real-time data processing with Amazon Kinesis on AWS

Snowflake Computing provides a cloud-based data warehouse solution designed for scalability and performance.

Apache Kafka is a distributed event streaming platform trusted by Fortune 100 companies for high-performance data pipelines and real-time analytics.

Databricks delivers a unified analytics platform to accelerate innovation by integrating data science, engineering, and business workflows.

Apache Hadoop: Scalable, distributed computing for big data processing

Qubole provides a self-service data lake platform for analytics, machine learning, and streaming on AWS, Azure, and Google Cloud.

DuckDB: A fast, embeddable SQL database for analytics

Snowflake: The cloud-native data platform for all your data and users

Amazon Redshift: The cloud data warehouse delivering unmatched price-performance for analytics and AI

Run and scale big data workloads efficiently with Amazon EMR

Apache Flink is a powerful stream processing framework for real-time data analytics and event-driven applications.

Google Cloud Dataflow: A fully managed service for scalable batch and streaming data processing

Apache Spark: A unified analytics engine for large-scale data processing, SQL, streaming, machine learning, and graph analytics.

Google BigQuery: A serverless data warehouse for AI-driven analytics and large-scale data processing.

Open-source cloud-native log management and analytics platform

Open source observability framework for cloud-native applications