Data lakes, pipelines, and large-scale analytics.
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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
