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Apache AsterixDB VS Apache ORC

Compare Apache AsterixDB VS Apache ORC and see what are their differences

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Apache AsterixDB logo Apache AsterixDB

Apache AsterixDB is a scalable, open source Big Data Management System.

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • Apache AsterixDB Landing page
    Landing page //
    2018-10-02
  • Apache ORC Landing page
    Landing page //
    2022-09-18

Category Popularity

0-100% (relative to Apache AsterixDB and Apache ORC)

Apache AsterixDB

Apache ORC

Big Data
40 40%
Big Data
60% 60
Databases
0 0%
Databases
100% 100
Data Management
100 100%
Data Management
0% 0
Big Data Infrastructure
100 100%
Big Data Infrastructure
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.

Apache AsterixDB mentions (0)

We have not tracked any mentions of Apache AsterixDB yet. Tracking of Apache AsterixDB 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 Apache AsterixDB and Apache ORC, you can also consider the following products

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

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

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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