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Apache Parquet VS LightStep

Compare Apache Parquet VS LightStep and see what are their differences

Apache Parquet logo Apache Parquet

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

LightStep logo LightStep

We deliver insights that put organizations back in control of their complex software apps.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • LightStep Landing page
    Landing page //
    2023-08-21

Apache Parquet videos

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LightStep videos

Lightstep Chronicles Review: The Shiniest Sci-Fi Visual Novel!

More videos:

  • Review - Lightstep Chronicles Review

Category Popularity

0-100% (relative to Apache Parquet and LightStep)
Databases
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Application Performance Monitoring

User comments

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Social recommendations and mentions

Apache Parquet might be a bit more popular than LightStep. We know about 19 links to it since March 2021 and only 15 links to LightStep. 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 Parquet mentions (19)

  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
  • Demystifying Apache Arrow
    Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / about 1 year ago
  • Parquet: more than just "Turbo CSV"
    Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago
  • Beginner question about transformation
    You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: over 1 year ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: over 1 year ago
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LightStep mentions (15)

  • KubeCon + CloudNativeCon Europe 2023: Highlights from Amsterdam
    We focused on the observability ecosystem and took the time to interact with our friends from Lightstep, New Relic, Honeycomb, Dynatrace, Instana, and many more. With that in mind, keep an eye out for more integrations coming to Tracetest! - Source: dev.to / about 1 year ago
  • Top 9 Commercial Distributed Tracing Tools
    Lightstep bills itself as a platform for the reliability of cloud-native applications. The people behind Lightstep co-founded OpenTelemetry and OpenTracing, which gives them a unique perspective on the use cases of distributed tracing and the value of having a vendor-neutral tracing data format. - Source: dev.to / about 1 year ago
  • Observability - Types Of Vendor Pricing Models
    In the last 5 to 10 years, new Observability vendors have entered the market, including Honeycomb, Instana, Lightstep and Datadog. Similarly, traditional APM vendors such as Dynatrace, AppDynamics, and New Relic, as well as SIEM (and log management) vendors such as Splunk and Sumo Logic, have joined them in the Observability space too. Finally you also have major cloud providers such as AWS with their own... - Source: dev.to / over 1 year ago
  • KubeCon North America 2022: A Retrospective
    I spent Day 2 at the Colony Club to attend OTel Unplugged. This event was sponsored by Lightstep, Honeycomb, New Relic, Splunk, Dynatrace, Crowdstrike, and NGINX. I came into the event not knowing what to expect. I can sometimes clamp up when I’m around folks that I don’t know, but because I was helping with the event check-in, I got to say hello to a number of the attendees, which helped break the ice. And it... - Source: dev.to / over 1 year ago
  • Grafana Phlare, open source database for continuous profiling at scale
    Https://lightstep.com, but that’s the only one :). - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing Apache Parquet and LightStep, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!