Data Management and Analytics

Apache HBase is an open-source NoSQL database that is built on top of Hadoop. It is a distributed, scalable, and fault-tolerant database that is well-suited for storing large amounts of unstructured data.

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 Kafka Mirror is a tool for replicating data across multiple Kafka clusters, providing seamless synchronization, high availability, and disaster recovery capabilities

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.

The Apache Solr platform enables powerful, scalable enterprise search and indexing through a centralized interface, delivering fast and relevant results across distributed data.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.