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Platfora VS Concurrent

Compare Platfora VS Concurrent and see what are their differences

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Platfora logo Platfora

BI and Analytics Platform

Concurrent logo Concurrent

Concurrent is a technology solution providing real-time computing solutions for businesses and individuals.
  • Platfora Landing page
    Landing page //
    2018-10-16
  • Concurrent Landing page
    Landing page //
    2023-07-13

Platfora features and specs

  • User-Friendly Interface
    Platfora offers an intuitive and user-friendly interface that allows users to create and analyze big data visualizations with minimal training.
  • Unified Data Platform
    The platform integrates data preparation, data analysis, and data visualization capabilities into one cohesive solution, reducing the need for multiple tools.
  • Real-Time Analytics
    Platfora provides real-time data processing and analytics, enabling users to make timely and informed decisions based on up-to-date information.
  • Scalability
    Designed to handle large volumes of data, Platfora can scale to meet the needs of growing organizations and extensive data sets.
  • Big Data Compatibility
    Platfora is compatible with major big data platforms like Hadoop, allowing for seamless integration into existing data ecosystems.
  • Customizable Dashboards
    Users can create customized dashboards to monitor key performance indicators and other critical metrics specific to their business needs.

Possible disadvantages of Platfora

  • Cost
    Platfora can be expensive, particularly for small and medium-sized businesses, due to its enterprise-level capabilities and features.
  • Complex Implementation
    Setting up Platfora can be complex and may require IT support and significant initial configuration, which could be a barrier for less technically skilled teams.
  • Learning Curve
    Despite its user-friendly interface, there can still be a learning curve associated with fully utilizing all the advanced features and functionalities.
  • Limited Third-Party Integrations
    Although Platfora integrates well with big data platforms, it may have limited compatibility with other third-party tools and software, potentially requiring additional custom integrations.
  • Resource Intensive
    Operating Platfora can demand significant computational resources, potentially requiring investments in hardware or cloud infrastructure.

Concurrent features and specs

  • Scalable Data Processing
    Concurrent provides tools that enable scalable data processing on distributed systems, which can handle large datasets and complex pipelines efficiently.
  • Open Source Tools
    The company offers open-source tools, such as Cascading, which allows developers to build powerful data applications and workflows without being tied to proprietary solutions.
  • Integration with Hadoop
    Concurrent provides strong integration with Hadoop, allowing users to leverage the vast Hadoop ecosystem for advanced data processing capabilities.
  • Developer Productivity
    By using tools like Cascading, developers can focus more on business logic rather than the intricacies of distributed computing and low-level detail plumbing.
  • Community Support
    Being based on open-source projects, Concurrent benefits from a large community of users and contributors, providing robust support and continuous improvements.

Possible disadvantages of Concurrent

  • Steep Learning Curve
    Tools like Cascading can have a steep learning curve for developers who are not already familiar with Hadoop and the MapReduce paradigm.
  • Dependency on Hadoop
    Strong integration with Hadoop can be a downside for organizations looking to migrate away from Hadoop or use different big data processing frameworks.
  • Performance Overhead
    Abstracting away lower-level details and focusing on developer productivity can sometimes introduce performance overhead compared to writing optimized, low-level code.
  • Complex Setups
    Setting up Cascading and related tooling within an organization's infrastructure might require significant time and effort, especially for teams with less experience in the big data domain.
  • Limited Vendor-Specific Features
    As open-source tools need to remain general and widely applicable, they may lack some of the specific features and optimizations provided by proprietary, vendor-specific solutions suited for particular use cases.

Analysis of Platfora

Overall verdict

  • Platfora is generally regarded as a good solution for businesses aiming to capitalize on big data analytics, particularly those that use Hadoop environments. Its user-friendly interface and powerful analytics capabilities help it stand out as a viable platform for data exploration and visualization.

Why this product is good

  • Platfora is a data discovery tool designed to help users analyze big data and transform it into actionable insights. It is particularly known for its ability to work directly with Hadoop data, providing an interactive and intuitive interface for users to explore data without the need for complex programming skills. This makes it a strong choice for organizations looking to leverage big data analytics with relative ease. Its interactive visualizations and ability to process large datasets efficiently make it a powerful tool for data-driven decision-making.

Recommended for

    Platfora is recommended for data analysts, business intelligence professionals, and organizations that utilize Hadoop and need a scalable, intuitive solution for big data analytics. It is suitable for medium to large enterprises that require deep analytics and insights drawn from complex datasets.

Analysis of Concurrent

Overall verdict

  • Concurrent Inc. is generally considered a good choice for organizations that need scalable and flexible solutions for big data applications. Their tools are highly regarded in the industry, particularly for enterprises that use Hadoop and require dependable data workflow management solutions. However, as with any technology solution, it's essential for organizations to evaluate if Concurrent's offerings align with their specific needs and infrastructure.

Why this product is good

  • Concurrent Inc. provides powerful data application infrastructure tools, particularly for enterprises that are leveraging big data analytics. Their technology is centered around making big data applications easier to manage, deploy, and scale, which can be invaluable for businesses that need robust data processing capabilities. Their flagship product, Cascading, is well-regarded for its ability to simplify the development of complex data workflows, making it a strong choice for companies that require efficient data processing and analytics capabilities.

Recommended for

  • Enterprises utilizing Hadoop-based infrastructures
  • Organizations looking for reliable and scalable data workflow management
  • Developers seeking to simplify complex big data application development
  • Businesses focused on enhancing their data analytics capabilities

Platfora videos

+ Add

Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

Concurrent videos

+ Add

LOCADTR Concurrent Review Module Walk Through

More videos:

  • Review - Concurrent Review Instructions
  • Review - Documentation Requirements for Claim Submission and Concurrent Review

Category Popularity

0-100% (relative to Platfora and Concurrent)

Platfora

Concurrent

Data Dashboard
30 30%
Data Dashboard
70% 70
Development
100 100%
Development
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100
Database Tools
16 16%
Database Tools
84% 84

User comments

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What are some alternatives?

When comparing Platfora and Concurrent, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Rakam - Custom analytics platform

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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