Software Alternatives, Accelerators & Startups

Apache Spark VS Hasura

Compare Apache Spark VS Hasura and see what are their differences

Apache Spark logo Apache Spark

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

Hasura logo Hasura

Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Hasura Landing page
    Landing page //
    2023-10-21

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Hasura videos

Scott Tries Hasura - A Realtime GraphQL API Builder

More videos:

  • Review - Evaluating Hasura
  • Review - The founder of Hasura teaching me about Hasura - FUN!

Category Popularity

0-100% (relative to Apache Spark and Hasura)
Databases
100 100%
0% 0
GraphQL
0 0%
100% 100
Big Data
100 100%
0% 0
Developer Tools
0 0%
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 Spark and Hasura

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Hasura Reviews

We have no reviews of Hasura yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Hasura should be more popular than Apache Spark. It has been mentiond 117 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 Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

Hasura mentions (117)

  • Serious flaws in SQL – Edgar F. Codd (1990)
    > 2. ORMs do not hide SQL nastiness. This is certainly true! I mean: ORMs are now well known to "make the easy queries slightly more easy, while making intermediate queries really hard and complex queries impossible". I think the are of ORMs is over. It simply did not deliver. If a book on SQL is --say-- 100 pages, a book on Hibernate is 400 pages. So much to learn just to make the easy queries slightly easier to... - Source: Hacker News / 20 days ago
  • The Many Ways Not to Build an API
    Another strategy is to model access control declaratively and enforce it in the application layer. ZenStack (built above Prisma ORM) and Hasura are good examples of this approach. The following code shows how access policies are defined with ZenStack and how a secured CRUD API can be derived automatically. - Source: dev.to / about 1 month ago
  • The 2024 Web Hosting Report
    Today, this ecosystem is going strong with new providers like Hasura, AppWrite and Supabase powering millions of projects. There are a few reasons people choose this style of hosting, especially if they are more comfortable with frontend development. BaaS lets them set up a database in a secure way, expose some business logic on top of the data, and connect via a dev-friendly SDK from their app or website code to... - Source: dev.to / 3 months ago
  • Ask HN: Is There a Zapier for APIs?
    Hi! If you’ve ever thought about something like using GraphQL for something like this.. You might like Hasura. (Obligatory I work for Hasura) We’ve got an OpenAPI import and you can setup cron-jobs or one-off jobs and do things like load in headers from the environment variables to pass through. There isn’t currently an easy journey for chaining multiple calls together without writing any code at all, but you can... - Source: Hacker News / 3 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Hasura.io — Hasura extends your existing databases wherever it is hosted and provides an instant GraphQL API that can be securely accessed for web, mobile, and data integration workloads. Free for 1GB/month of data pass-through. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Apache Spark and Hasura, you can also consider the following products

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

Supabase - An open source Firebase alternative

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

GraphQL Playground - GraphQL IDE for better development workflows

Hadoop - Open-source software for reliable, scalable, distributed computing

GraphQl Editor - Editor for GraphQL that lets you draw GraphQL schemas using visual nodes