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RJ Metrics VS Apache ORC

Compare RJ Metrics VS Apache ORC and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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RJ Metrics logo RJ Metrics

RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • RJ Metrics Landing page
    Landing page //
    2023-07-06
  • Apache ORC Landing page
    Landing page //
    2022-09-18

RJ Metrics features and specs

  • Ease of Use
    RJ Metrics provides an intuitive user interface that makes it accessible for users with varying levels of technical expertise.
  • Data Integration
    RJ Metrics supports integration with multiple data sources, allowing for comprehensive data analysis across several platforms.
  • Customizable Dashboards
    Users can create highly customizable dashboards to monitor key metrics and visualize data in a manner that suits their specific business needs.
  • Scalability
    The platform is designed to scale with businesses as their data needs grow, accommodating increased data volume and complexity.
  • Automated Reporting
    RJ Metrics allows for automated reporting, reducing the time and effort required to generate and share insights within an organization.

Possible disadvantages of RJ Metrics

  • Pricing Structure
    Some users may find the pricing structure of RJ Metrics to be on the higher side, especially for smaller businesses or startups.
  • Learning Curve for Advanced Features
    While the basic features are easy to use, there may be a learning curve associated with more advanced analytics features.
  • Limited Offline Access
    RJ Metrics primarily functions as a cloud-based tool, which may limit accessibility in environments with unreliable internet connectivity.
  • Customer Support
    Some users have reported that customer support response times can be slow, which may hinder quick resolution of technical issues.
  • Dependence on Internet Connectivity
    Being a web-based tool, RJ Metrics requires consistent internet access, which might be a disadvantage for users with limited connectivity.

Apache ORC features and specs

No features have been listed yet.

RJ Metrics videos

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RJ Metrics

More videos:

  • Review - Props RJ Metrics Promo

Apache ORC videos

No Apache ORC videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to RJ Metrics and Apache ORC)

RJ Metrics

Apache ORC

Web Analytics
100 100%
Web Analytics
0% 0
Big Data
0 0%
Big Data
100% 100
Analytics
100 100%
Analytics
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using RJ Metrics and Apache ORC. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache ORC seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RJ Metrics mentions (0)

We have not tracked any mentions of RJ Metrics yet. Tracking of RJ Metrics recommendations started around Mar 2021.

Apache ORC mentions (3)

  • Java Serialization with Protocol Buffers
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 2 years ago
  • AWS EMR Cost Optimization Guide
    Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / over 3 years ago
  • Apache Hudi - The Streaming Data Lake Platform
    The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing RJ Metrics and Apache ORC, you can also consider the following products

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

Woopra - Track your customers' web and mobile activity, forms, emails, support tickets and more, all in one place with customer analytics. Analyze and take action.

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

CAKE - CAKE provides a SaaS-based solution for advertisers, publishers and networks to track, attribute and optimize their spend in real-time.

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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