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Snowflake VS Hadoop

Compare Snowflake VS Hadoop and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Snowflake logo Snowflake

Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Snowflake Landing page
    Landing page //
    2022-12-29
  • Hadoop Landing page
    Landing page //
    2021-09-17

Snowflake videos

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Grand Seiko Spring Drive "Snowflake" SBGA211 Luxury Watch Review

More videos:

  • Review - BEST GRAND SEIKO? Snowflake SBGA211 Review
  • Review - Grand Seiko Snowflake SBGA211 - Review and Impressions

Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Snowflake and Hadoop)

Snowflake

Hadoop

Big Data
60 60%
Big Data
40% 40
Databases
21 21%
Databases
79% 79
Data Dashboard
100 100%
Data Dashboard
0% 0
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Snowflake and Hadoop

Snowflake Reviews

Top 6 Cloud Data Warehouses in 2023
Snowflake accommodates data analysts of all levels since it does not use Python or R programming language. It is also well known for its secure and compressed storage for semi-structured data. Besides this, it allows you to spin multiple virtual warehouses based on your needs while parallelizing and isolating individual queries boosting their performance. You can interact...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Snowflake is one of the most popular data warehousing solutions on the market and delivers an incredible experience across multiple public clouds. By using Snowflake, companies can pull data from various business intelligence tools to do reporting and analytics without any database administration, thus avoiding high overhead costs. Unlike other data warehousing services,...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Plus, Snowflake doesn’t include data integrations, so teams will have to bolt on an ETL tool to pipe their data into the warehouse. Those third-party pipelines add extra cost and overhead in the form of setup and maintenance that some teams may not want to absorb.
Source: blog.panoply.io
Top Big Data Tools For 2021
This platform can be used for data warehousing, data science, data engineering, sharing, and application development. It enables you to easily secure your data and execute various analytic workloads. Snowflake also ensures a seamless experience when working with multiple public clouds.
Source: blog.bismart.com

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop should be more popular than Snowflake. It has been mentiond 15 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.

Snowflake mentions (4)

  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Snowflake, a data warehousing company founded by ex-Oracle and ex-VectorWise experts, responded with a blog post that critically reviewed Databricks' findings, reported different results for the same benchmark, and claimed comparable price/performance to Databricks. - Source: dev.to / almost 2 years ago
  • Personal Support at Internet Scale
    Snowflake: Snowflake is fast, and works well as a product analytics database. - Source: dev.to / over 2 years ago
  • Less than 1TB of data what tools should I get better at?
    If you just go to snowflake.com you can sign up for a demo account for free for a month and I'm fairly certain you can get more than one of these accounts (I would recycle emails doing it all the time.) Once you have an account there's lots of docs and videos out there either using the Database via their UI or via python using their connector. They also have a pyspark connector but you might want to just learn... Source: over 2 years ago
  • *BOMATO*
    Early stage funding & VCs clearly demarcate between tech companies and tech enabled companies. But, once the PE comes into the picture at the scale of BlackStone, the border between doordash.com and snowflake.com starts to blur. The motivation is to make some bucks by going to IPO and they know how to get it done. Source: over 2 years ago

Hadoop mentions (15)

View more

What are some alternatives?

When comparing Snowflake and Hadoop, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

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

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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