Software Alternatives, Accelerators & Startups

Pepperdata VS Apache ORC

Compare Pepperdata VS Apache ORC and see what are their differences

Pepperdata logo Pepperdata

Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

Apache ORC logo Apache ORC

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

Pepperdata videos

Boost Spark AI workloads with Pepperdata

More videos:

  • Tutorial - How To Implement Cloud Observability Like A Pro | Pepperdata
  • Review - The ONLY Thing That Matters with Data – Ash Munshi, CEO @ Pepperdata | #InsightJam Panel Highlights

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 Pepperdata and Apache ORC)
Monitoring Tools
100 100%
0% 0
Databases
0 0%
100% 100
Application Performance Monitoring
Big Data
0 0%
100% 100

User comments

Share your experience with using Pepperdata 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.

Pepperdata mentions (0)

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

LightStep - We deliver insights that put organizations back in control of their complex software apps.

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

9 Spokes - 9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.

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

CySight - CySight is an artificial intelligence-based cyber network intelligence platform that provides enterprises with the right information at the right time to proactively prevent and detect cyber threats.

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