Coming October 25: PeerSpot Awards will be announced! Learn more

Cloudera DataFlow vs Informatica Big Data Parser comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cloudera DataFlow and Informatica Big Data Parser based on real PeerSpot user reviews.

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cloudera DataFlow vs. Informatica Big Data Parser report (Updated: September 2022).
635,987 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
report
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
635,987 professionals have used our research since 2012.
Questions from the Community
Top Answer:This solution is very scalable and robust.
Top Answer:Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other… more »
Top Answer:We use this solution for sentimental analysis and fraud detection. We also use it to analyze product royalties.
Ask a question

Earn 20 points

Ranking
14th
out of 38 in Streaming Analytics
Views
2,106
Comparisons
1,456
Reviews
1
Average Words per Review
252
Rating
8.0
8th
out of 22 in Hadoop
Views
391
Comparisons
349
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
CDF, Hortonworks DataFlow, HDF
Big Data Parser
Learn More
Overview

Cloudera DataFlow (CDF) is a comprehensive edge-to-cloud real-time streaming data platform that gathers, curates, and analyzes data to provide customers with useful insight for immediately actionable intelligence. It resolves issues with real-time stream processing, streaming analytics, data provenance, and data ingestion from IoT devices and other sources that are associated with data in motion. Cloudera DataFlow enables secure and controlled data intake, data transformation, and content routing because it is built entirely on open-source technologies. With regard to all of your strategic digital projects, Cloudera DataFlow enables you to provide a superior customer experience, increase operational effectiveness, and maintain a competitive edge.

With Cloudera DataFlow, you can take the next step in modernizing your data streams by connecting your on-premises flow management, streams messaging, and stream processing and analytics capabilities to the public cloud.

Cloudera DataFlow Advantage Features

Cloudera DataFlow has many valuable key features. Some of the most useful ones include:

  • Edge and flow management: Edge agents and an edge management hub work together to provide the edge management capability. Edge agents can be managed, controlled, and watched over in order to gather information from edge hardware and push intelligence back to the edge. Thousands of edge devices can now be used to design, deploy, run, and monitor edge flow apps. Edge Flow Manager (EFM) is an agent management hub that enables the development, deployment, and monitoring of edge flows on thousands of MiNiFi agents using a graphical flow-based programming model.
  • Streams messaging: The CDF platform guarantees that all ingested data streams can be temporarily buffered so that other applications can use the data as needed. This makes it possible for a business to scale efficiently, as data streams from thousands of origination points start to grow to petabyte sizes. To achieve IoT-scale, streams messaging allows you to buffer large data streams using a publish-subscribe strategy.
  • Stream analytics and processing: The third tenet of the CDF platform is its capacity to analyze incoming data streams in real time and with minimal latency, providing actionable intelligence in the form of predictive and prescriptive insights. This stage is essential to completing the Data-in-Motion lifecycle for an enterprise because there is only a use in absorbing all real-time streams if something useful is done with them in the moment to benefit your company.
  • Shared Data Experience (SDX): The most crucial component that transforms CDF into a genuine platform is Cloudera Data Platform's SDX. It is a powerful data fabric that offers the broadest possible deployment flexibility and guarantees total security, governance, and control across infrastructures. You get a single experience for security (with Apache Ranger), governance (with Apache Atlas), and data lineage from edge to cloud because all the CDF components seamlessly connect with SDX.

Cloudera DataFlow Advantage Benefits

There are many benefits to implementing Cloudera DataFlow . Some of the biggest advantages the solution offers include:

  • Completely open source: Invest in your architecture with confidence, knowing that there will be no vendor lock-in.
  • More than 300 pre-built processors: This is the only product that provides edge-to-cloud connection this comprehensive as well as a no-code user experience
  • Integrated data provenance: The market's only platform that offers out-of-the-box, end-to-end data lineage tracking and provenance across MiNiFi, NiFi, Kafka, Flink, and more.
  • Multiple stream processing engines to choose from: Supports Spark structured streaming, Kafka Streams, and Apache Flink for real-time insights and predictive analytics.
  • Hundred of Kafka consumers: Cloudera has hundreds of satisfied customers who receive exceptional support for their complex Kafka implementations.
  • Use cases for edge IoT: IoT data from thousands of endpoints may be easily collected, processed, and managed from the edge to the cloud with a multi-cloud/hybrid cloud strategy.
  • Hybrid/multi-cloud approach: Choose a flexible deployment option for your streaming architecture that spans across edge, on-premises, and various cloud environments with ease thanks to the power of CDP.

Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

Offer
Learn more about Cloudera DataFlow
Learn more about Informatica Big Data Parser
Sample Customers
Clearsense
Western Union, UPMC, BNY Mellon
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider15%
Financial Services Firm11%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company19%
Financial Services Firm14%
Comms Service Provider12%
Manufacturing Company10%
Company Size
VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise12%
Large Enterprise73%
VISITORS READING REVIEWS
Small Business12%
Midsize Enterprise6%
Large Enterprise82%
Buyer's Guide
Streaming Analytics
September 2022
Find out what your peers are saying about Databricks, Amazon, Apache and others in Streaming Analytics. Updated: September 2022.
635,987 professionals have used our research since 2012.

Cloudera DataFlow is ranked 14th in Streaming Analytics with 1 review while Informatica Big Data Parser is ranked 8th in Hadoop. Cloudera DataFlow is rated 8.0, while Informatica Big Data Parser is rated 0.0. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, Cloudera DataFlow is most compared with Spring Cloud Data Flow, Confluent, Databricks, Amazon MSK and Hortonworks Data Platform, whereas Informatica Big Data Parser is most compared with Apache Spark, HPE Ezmeral Data Fabric and Spark SQL.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.