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Apache Parquet VS CAKE

Compare Apache Parquet VS CAKE and see what are their differences

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Apache Parquet logo Apache Parquet

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

CAKE logo CAKE

CAKE provides a SaaS-based solution for advertisers, publishers and networks to track, attribute and optimize their spend in real-time.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • CAKE Landing page
    Landing page //
    2021-09-19

Apache Parquet videos

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CAKE videos

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I ordered a CUSTOM cake from 1 vs. 5 STAR BAKERY

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Category Popularity

0-100% (relative to Apache Parquet and CAKE)

Apache Parquet

CAKE

Databases
100 100%
Databases
0% 0
Marketing Platform
0 0%
Marketing Platform
100% 100
Big Data
100 100%
Big Data
0% 0
Affiliate Marketing
0 0%
Affiliate Marketing
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Parquet and CAKE

Apache Parquet Reviews

We have no reviews of Apache Parquet yet.
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CAKE Reviews

15 Marketing Softwares That Can Boost Your Business
CAKE provides real-time analytics and tracking for efficient marketing campaigns. CAKE organizes all information in one place and lets the marketer control everything from location, device and even traffic source to be targeted. Launched in 2007, the company has a client base which includes ScoreBig, Convert 2 Media and Lifescript among others.
Source: www.forbes.com

Social recommendations and mentions

Based on our record, Apache Parquet seems to be more popular. It has been mentiond 19 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 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: 5 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 / 12 months 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: about 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: about 1 year ago
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CAKE mentions (0)

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

What are some alternatives?

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

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

Post Affiliate Pro - Post Affiliate Pro is the #1 ranked affiliate software, trusted by more than 27,000 companies worldwide. Start your affiliate program now.

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

Refersion - Seamless influencer tracking system for online retailers.

Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.

TrackingDesk - Conversion Tracking & Attribution platform for performance marketers.

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