Software Alternatives & Reviews

Impala VS Apache ORC

Compare Impala VS Apache ORC and see what are their differences

Impala logo Impala

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

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • Impala Landing page
    Landing page //
    2023-04-02
  • Apache ORC Landing page
    Landing page //
    2022-09-18

Impala videos

2016 Chevrolet Impala - Review and Road Test

More videos:

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Apache ORC videos

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Category Popularity

0-100% (relative to Impala and Apache ORC)
Big Data
57 57%
43% 43
Databases
49 49%
51% 51
Data Dashboard
69 69%
31% 31
Big Data Infrastructure
100 100%
0% 0

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.

Impala mentions (0)

We have not tracked any mentions of Impala yet. Tracking of Impala 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 / almost 3 years ago

What are some alternatives?

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

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

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

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

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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.