Software Alternatives & Reviews

Apache ORC VS ATLAS.ti

Compare Apache ORC VS ATLAS.ti and see what are their differences

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.

ATLAS.ti logo ATLAS.ti

ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
  • Apache ORC Landing page
    Landing page //
    2022-09-18
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04

Apache ORC videos

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ATLAS.ti videos

Literature Review with ATLAS.ti 8 Windows and Mac (Jan. 25th, 2018)

More videos:

  • Review - Overview of ATLAS.ti 8 Windows April 10th, 2018
  • Review - Literature Review and Qualitative Data Analysis Using Atlas.ti by Muhammad Farooq Buzdar

Category Popularity

0-100% (relative to Apache ORC and ATLAS.ti)
Databases
100 100%
0% 0
Text Analytics
0 0%
100% 100
Big Data
100 100%
0% 0
Market Research
0 0%
100% 100

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

ATLAS.ti mentions (0)

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

What are some alternatives?

When comparing Apache ORC and ATLAS.ti, you can also consider the following products

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

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

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

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.