6/16/2023 0 Comments Apache lucene alternativesThis big data tool enables users to discover complex connections and explore diverse relationships in their data through a suite of analytic options, including graph visualisations, full-text faceted search, dynamic histograms, interactive geospatial views, and collaborative workspaces shared in real-time. Lumify is a popular big data fusion, analysis, and visualisation platform that supports the development of actionable intelligence. Some of its key features include support for stream and batch processing, sophisticated state management, event-time processing semantics, and exactly-once consistency guarantees for the state. Flink can be used to develop and run many different types of applications due to its extensive features set. The framework has been created to run in all the common cluster environments and then perform computations at the in-memory speed at any scale. Apache FlinkĪpache Flink is a framework, and a distributed processing engine meant for stateful computations over unbounded and bounded data streams. Storm integrates with the database technologies and its features include scalability, fault-tolerance as well as guarantees that the data will be processed in an easy manner and is simple to set up and operate. Apache Storm has many use cases, including real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Developers use this system mainly to process streams of data in real-time. Apache StormĪpache Storm is an open-source distributed real-time computation system. ![]() It is Google Cloud’s fully managed, petabyte-scale and cost-effective analytics data warehouse that lets developers run analytics over vast amounts of data in near real-time. Google BigQuery is one of the cloud-based big data analytics web services for processing very large read-only data sets. The file storing system is typically used for organising the files. ![]() Apache Hadoop has its own file distribution system known as the HDFS (Hadoop Distributed File System). ![]() The framework is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Apache HadoopĪpache Hadoop is a framework that allows distributed processing of large data sets across clusters of computers using simple programming models. Some of its features include ease of writing applications quickly in various languages, such as Java, Scala, Python, R, and SQL and accessibility in diverse data sources.īelow here is a compilation of the top eight alternatives to Apache Spark. With more than 28k GitHub stars, this analytics engine can be said as one of the most active open-sourced big data projects and is popular for its various intuitive features. Launched in the year 2009, Apache Spark is an open-source unified analytics engine for large-scale data processing.
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