Software Alternatives & Reviews

RJ Metrics VS Apache ORC

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

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 videos

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.

+ Add video

Category Popularity

0-100% (relative to RJ Metrics and Apache ORC)
eCommerce
100 100%
0% 0
Databases
0 0%
100% 100
Analytics
100 100%
0% 0
Big Data
0 0%
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?
Log in or Post with

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 1 year 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 2 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 / over 2 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.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

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