Best Big Data Processing And Distribution Systems - Page 9
Big data processing and distribution systems offer a way to collect, distribute, store, and manage massive, unstructured data sets in real time. These solutions provide a simple way to process and distribute data amongst parallel computing clusters in an organized fashion. Built for scale, these products are created to run on hundreds or thousands of machines simultaneously, each providing local computation and storage capabilities. Big data processing and distribution systems provide a level of simplicity to the common business problem of data collection at a massive scale and are most often used by companies that need to organize an exorbitant amount of data. Many of these products offer a distribution that runs on top of the open-source big data clustering tool Hadoop.
Companies commonly have a dedicated administrator for managing big data clusters. The role requires in-depth knowledge of database administration, data extraction, and writing host system scripting languages. Administrator responsibilities often include implementation of data storage, performance upkeep, maintenance, security, and pulling the data sets. Businesses often use big data analytics tools to then prepare, manipulate, and model the data collected by these systems.
To qualify for inclusion in the Big Data Processing And Distribution Systems category, a product must:
Featured Big Data Processing And Distribution Systems At A Glance
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Solix Common Data Platform (CDP) is a uniform data collection, retention management and bulk data storage solution for structured and unstructured data. The Solix CDP features enterprise archiving, da
2,258 Twitter followers
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The Stackable Data Platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka®, Apache Druid, Trino and A
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In-memory computing with TIBCO ActiveSpaces provides a distributed, scale-out, in-memory data grid, delivering a consistent, fault-tolerant database that supports scalability for mixed read/write work
119 Twitter followers
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vLens is a robust data management and analytics platform developed by Vichara Technologies, designed to handle extensive datasets and transform raw data into actionable insights. It specializes in man
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The Volt Active Data Platform enables companies to unlock the full value of their data and applications by making it possible to have scale without compromising on speed, accuracy, or consistency. Bas
- 33% Enterprise
- 33% Mid-Market
5,200 Twitter followers
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WarpStream, the Apache Kafka®-compatible data streaming platform built directly on top of object storage, is now a part of Confluent. We’re joining forces to advance next-gen BYOC data streaming. New
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Yeedu is a next-generation data platform designed to accelerate data workloads by 4–10x and cut cloud costs by up to 60%. Powered by a re-architected Spark engine—the Turbo Engine—Yeedu harnesses mod
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Fast and Simple Deployment of Hadoop Clusters
1,581 Twitter followers
