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Apache ORC VS BitRefiney

Compare Apache ORC VS BitRefiney and see what are their differences

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.

BitRefiney logo BitRefiney

Bit Refinery is an enterprise VMware and Big Data hosting provider.
  • Apache ORC Landing page
    Landing page //
    2022-09-18
  • BitRefiney Landing page
    Landing page //
    2023-09-18

Category Popularity

0-100% (relative to Apache ORC and BitRefiney)
Databases
100 100%
0% 0
Big Data
60 60%
40% 40
Data Management
0 0%
100% 100
Data Dashboard
53 53%
47% 47

User comments

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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.

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 / almost 3 years ago

BitRefiney mentions (0)

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

What are some alternatives?

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

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

BlueData - BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

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

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

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

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.