Name: Cloudera DataFlow
Rating: 8.9 (3 reviews)
Author: Cloudera

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Agile Development

Product Analytics

Version Control

Development

Business Intelligence (BI)

Collaboration

IP PBX

Knowledge Management

Policy Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Scheduling

HR Management

Payroll

Talent Intelligence

Talent Management

Time Tracking

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Code Review

Data Catalog

Data Deduplication

Data Privacy Management

Data Warehouse

Edge Computing

Embedded Database

Ethernet Switches

Firewall Security Management

Fraud Detection

IP Address Management (IPAM)

Integration Platform as a Service (iPaaS)

Low-Code Development

Mainframe Monitoring

Migration

Mobile Identity

Network Monitoring

Network Performance Monitoring

Network Simulation

Rack Servers

Tape Storage

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Experience Management

Data Cleansing

Digital Experience Intelligence

Digital Rewards

Email Marketing

Marketing Automation

Mobile Analytics

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Presales

Sales Incentive Compensation Management

Sales

GDPR Compliance

Security Orchestration, Automation and Response (SOAR)

Security

Animal Shelter

Apparel

Computer-Aided Design (CAD)

ID Card

Last Mile Delivery

Lease Management

Oil and Gas

Online Ordering

Vertical-Specific

large

medium

small

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

Confluent

Streaming Analytics

Real-Time Data Analysis

Visualization Dashboards

Data Ingestion from Multiple Data Sources

Low Latency

Integrated Development Tools

Linear Scale-Out

Data Enrichment

IBM Event Streams

Message Queue

IBM Streams

Likelihood to Recommend

Data wrangling and preparation

Machine Learning Automation

Google Cloud Dataflow

Google

Spotfire Streaming

Support Rating

Spotfire

Amazon Kinesis

Amazon AWS

StreamSets DataOps Platform

StreamSets

Apache Spark Streaming

Apache

Apache Flink

Azure Anomaly Detector

Microsoft

Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. It is designed to process real-time data streaming at high volume and high scale.

Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.

Amazon Kinesis Data Streams

Amazon Kinesis Data Firehose

Amazon Kinesis Data Analytics

Amazon Kinesis Video Streams

Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.

Striim Platform

Striim Cloud Enterprise Platform

Striim

Data Integration

Data Source Connection

Data Transformations

Data Modeling

Data Governance

Connect to traditional data sources

Connecto to Big Data and NoSQL

Simple transformations

Complex transformations

Data model creation

Metadata management

Business rules and workflow

Testing and debugging

Integration with data quality tools

Integration with MDM tools

Cloudera DataFlow

Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.

Use Case — Universal Data Distribution With Cloudera DataFlow for Public Cloud (CDF-PC)

Cloudera presents a unified Platform for Big Data, an enterprise data hub built on Apache Hadoop™.

Cloudera offers enterprises one place to store, process and analyze data, to extend the value of existing investments while enabling fundamental new ways to derive value from data. Cloudera offers everything needed on a journey to an enterprise data hub, including software for business critical data challenges such as storage, access, management, analysis, security and search. As an educator of Hadoop professionals, Cloudera has trained over 40,000 individuals worldwide. Over 800 partners and a seasoned professional services team help deliver greater time to value. Finally, Cloudera provides proactive and predictive support to run an enterprise data hub with confidence. Leading organizations in every industry plus top public sector organizations globally run Cloudera in production.

Behind some of the top minds in Big Data, including Doug Cutting, who invented Hadoop, Cloudera enhances the storage and processing technologies originally developed by the world’s biggest Web companies. Today, Cloudera is a market leader in Hadoop with tens of thousands of nodes under management, as well as the top contributor of code to the Hadoop ecosystem. Markets include financial services, government, telecommunications, media, web, advertising, retail, energy, bioinformatics, pharma/healthcare, university research, oil and gas, gaming and more.

Cloudera

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

Easy-to-understand pictorial illustration of data with graphs charts and dashboards

Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or
data-point

Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined
functions and operators

Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

Machine learning helps automate predictive scoring on streaming data

Ability to enrich the data stream with static reference data

Reviews

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Streaming Analytics Software

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Cloudera DataFlow
Formerly Hortonworks DataFlow

Overview

What is Cloudera DataFlow?

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Pricing

Cloudera DataFlow

What is Cloudera DataFlow?

Entry-level set up fee?

Offerings

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Alternatives Pricing

Amazon Kinesis

What is Amazon Kinesis?

Striim

What is Striim?

Product Demos

Use Case — Universal Data Distribution With Cloudera DataFlow for Public Cloud (CDF-PC)

Product Details

What is Cloudera DataFlow?

Cloudera DataFlow Technical Details

Comparisons

Compare with

Confluent

IBM Event Streams

IBM Streams

Google Cloud Dataflow

Spotfire Streaming

Amazon Kinesis

StreamSets

Apache Spark Streaming

Apache Flink

Azure Anomaly Detector

Reviews