Data Analytics

Airbyte is an open-source data integration engine that helps you consolidate your data in your data warehouses, lakes and databases.

The Apache Airflow scheduler executes your tasks on an array of workers while following the specified dependencies.

Apache Hadoop is an open-source distributed processing framework that is used to process and analyze large datasets. It is based on the MapReduce programming model and can be deployed on clusters of commodity hardware.

The Apache Hadoop MapReduce platform enables distributed data processing across large-scale clusters by dividing workloads into map and reduce tasks, delivering reliable and scalable batch data computation.

Apache Hive is an open-source data warehouse software project built on top of Apache Hadoop. It provides a SQL-like interface for querying data stored in HDFS.

Apache Ignite is an open-source in-memory data grid that can store and process data in memory for high performance and scalability.

Apache Kafka is a distributed event store and stream-processing platform.. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

Apache Kylin is primarily needed for organizations that require real-time analytics and business intelligence (BI) on large-scale datasets.

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Apache Pinot is an open-source real-time distributed OLAP datastore designed to deliver low-latency analytics on high-throughput event streams.