Best Big Data Processing and Distribution Software

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 category, a product must:

  • Collect and process big data sets in real-time
  • Distribute data across parallel computing clusters
  • Organize the data in such a manner that it can be managed by system administrators and pulled for analysis
  • Allow businesses to scale machines to the number necessary to store its data
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    BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. BigQuery is serverless. There is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL. BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies.

    Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data across dynamically scalable Amazon EC2 instances.

    (61)4.1 out of 5
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    Qubole is revolutionizing the way companies activate their data--the process of putting data into active use across their organizations. With Qubole's cloud-native Data Platform for analytics and machine learning, companies exponentially activate petabytes of data faster, for everyone and any use case, while continuously lowering costs. Qubole overcomes the challenges of expanding users, use cases, and variety and volume of data while constrained by limited budgets and a global shortage of big d

    HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.

    IBM Db2
    (11)3.8 out of 5
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    About IBM Db2 IBM believes in unlocking the potential of your data, not throttling it. We hold our databases to a higher standard, making it easy to deploy your data wherever it's needed, fluidly adapting to your changing needs and integrating with multiple platforms, languages and workloads. IBM Db2 is supported across Linux, Unix, and Windows operating systems.

    Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Cloudera, based in Palo Alto, California, U.S, offers Cloudera Enterprise, a platform that includes Cloudera Analytic DB (for BI & SQL workloads based on Apache Impala), Cloudera Data Science & Engineering (for data processing and machine learning based on Apache Spark and Cloudera Data Science Workbench), and Cloudera Operational DB (for real-time data serving based on Apache HBase and Apache Kudu). Through their SDX (shared data experience) technologies, the platform provides unified s

    Oracle Big Data Cloud Service offers an integrated portfolio of products to help organize and analyze diverse data sources alongside existing data.

    Snowplow is an enterprise-grade data collection platform for companies who demand high-quality, real-time event data, delivered by a cloud-native data pipeline they fully control. The Snowplow tech is built from the ground up to maximize data granularity, richness and scalability; our customers use our tech stack to track 100s of millions of events each day. Our customers have full control and complete ownership of their data collection infrastructure; they have their data data pipeline in the

    Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.

    Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.

    Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

    Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

    MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports many mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use, and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform.

    Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.

    Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Build and deploy clusters within minutes with simplified user experience, scalability, and reliability. Custom configure the environment. Administer through multiple interfaces. Scale on demand.

    HVR is a real-time data replication solution designed to move large volumes of data FAST and efficiently in hybrid environments for real-time analytics. Our goal is to keep your data continuously moving and in sync, as you adopt new technologies for storing, streaming, and analyzing data. Our scalable solution gives you everything you need for efficient data integration from beginning to end so that you can readily revolutionize your business. HVR supports commonly used platforms such as SQL Ser

    ASG Technologies’ Enterprise Data Intelligence Solution delivers a tool-agnostic solution that supports the creation of custom metadata interfaces for your enterprise sources, providing a complete data lineage knowledge base. The range and flexibility offered by ASG includes discovery of mainframe, distributed and other ETL code, analyzing to ensure there are no gaps in your end-to-end lineage.

    AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

    Alibaba MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security

    Apache Apex is an enterprise grade native YARN big data-in-motion platform designed to unify stream processing as well as batch processing.

    Apache AsterixDB is a scalable, open source Big Data Management System (BDMS).

    Apache Bahir provides extensions to multiple distributed analytic platforms, extending their reach with a diversity of streaming connectors and SQL data sources.

    Apache Chukwa is an open source data collection system for monitoring large distributed systems.

    Apache Falcon is a feed processing and feed management system designed to make it easier for end consumers to onboard their feed processing and feed management on hadoop clusters.

    Apache Fluo is an open source implementation of Percolator (which populates Google's search index) for Apache Accumulo.

    Apache Storm is a distributed, fault-tolerant, open-source, real-time event processing solution for large, fast streams of data.

    A New Lightweight, Distributed Data Processing Engine

    Combines open source Hadoop and Spark to cost-effectively analyze and manage big data Combines Hadoop and Spark Integrates Hadoop and Spark for fast processing of any type of data at scale. Improves ROI Provides data management and analytical tools to enhance Hadoop capabilities. Helps improve your ROI, whether in the cloud or on-premises. Scalable and adaptible Helps integrate Hadoop as part of a hybrid architecture that supports multiple data types and technologies. Provides the scalability

    All the talk about qualitative data analysis is for naught if you can’t understand language as it is spoken. That is what Natural Language Processing (NLP) is all about. NewSci NLP brings this power to organization’s seeking to extract insights from their unstructured data. Just as you know what a person is saying when you hear, “I’m hungry, I want an apple” vs. “I really want an Apple™ instead of a PC,” so now can a computer. NewSci NLP enables a computer to understand the people, places, and

    The Syncfusion Big Data Platform is the first and the only complete Hadoop distribution designed for Windows. Its users can develop on Windows using familiar tools, and deploy on Windows. Syncfusion has taken the advantages of the Hadoop environment – from easy querying across structured and unstructured data to cost-effective storage of any amount of data using commodity hardware with linear scalability- and made them available on Windows. With extremely minimal prerequisites and no manual conf

    Allows very large Adabas files to be separated into multiple, smaller physical files with no changes to the application. Available for Adabas on mainframe. Read more

    Alibaba Cloud Elastic MapReduce (E-MapReduce) is a big data processing solution to quickly process huge amounts of data. Based on open source Apache Hadoop and Apache Spark, E-MapReduce flexibly manages your big data use cases such as trend analysis, data warehousing, and analysis of continuously streaming data

    Altiscale Data Cloud is a fully managed Big Data platform, delivering instant access to production-ready Hadoop and Spark.

    AMETRAS Automatic Documents Processing can help you collect relevant information from your documents in order to process, provide and distribute them.

    AMR Win Control offers software for data acquisition and measured data processing.

    Bare Metal Cloud Infrastructure as a Service (IaaS) offering single tenant, on-demand environments built for high traffic websites, micro-services architectures, IoT & mobile backends, big data and more.

    BlueData is a Big Data infrastructure software that reduce the complexity, cost, and time to deploy Hadoop and Spark and enable Big-Data-as-a-Service (BDaaS)

    Bluemetrix Data Manager is a suite of modules automating the ingestion, transformation and governance of data on Hadoop. Data Manager provides a fully interactive drag and drop interface allowing dynamic workflow creation for the ingest & transformation of data. The suite is built on BMC’s Control-M.

    Bright Computing provides comprehensive software solutions for provisioning and managing HPC clusters, Hadoop clusters, and OpenStack private clouds in your data center or in the cloud.

    A comprehensive development and operating environment for rapid data integration, preparation, governance, and exploration of large volumes of heterogeneous data.

    Cask is an open source software company bringing virtualization to Hadoop data and apps.

    Tervela Data Fabric is a lightening-fast, fault-tolerant platform that allows you to capture, share, and distribute data from hundreds of enterprise and cloud data sources down to a diverse set of downstream applications and environments.

    DNIF offers a comprehensive solution based on a Big Data platform that offers an end-to-end capability of processing unstructured log data, identify patterns using high speed analytics and detect complex threats.

    XenonStack is a software company that specializes in product development and providing DevOps, big data integration, real time analytics and data science solutions.

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