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PostGraphile VS Hadoop

Compare PostGraphile VS Hadoop and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PostGraphile logo PostGraphile

GraphQL API for Postgres

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • PostGraphile Landing page
    Landing page //
    2022-12-23
  • Hadoop Landing page
    Landing page //
    2021-09-17

PostGraphile videos

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Full-Stack Developer talks PostGraphile, GraphQL, Angular and Philosophy of Developing!

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 PostGraphile and Hadoop)

PostGraphile

Hadoop

API Tools
100 100%
API Tools
0% 0
Databases
0 0%
Databases
100% 100
GraphQL
100 100%
GraphQL
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using PostGraphile and Hadoop. For example, how are they different and which one is better?
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Reviews

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

PostGraphile Reviews

We have no reviews of PostGraphile yet.
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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 seems to be a lot more popular than PostGraphile. While we know about 15 links to Hadoop, we've tracked only 1 mention of PostGraphile. 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.

PostGraphile mentions (1)

  • [Question] What will it take to create an automated graphQL API with Elixir?
    There are tools like Hasura/Haskell, Postgraphile/Node.js or Graphjin/Golang that could generate an automatic graphQL API from a Postgres database. Im new to Elixir and really love it. I wonder if there is anything similar these. I heard about Absinthe for graphQL, however as far as I understand it requires to write your own resolvers. What will it take to create a similar tool in Elixir like the one stated above?... Source: over 1 year ago

Hadoop mentions (15)

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What are some alternatives?

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

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

Graphene - Query Languages

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

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

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

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