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Dapr VS Apache Spark

Compare Dapr VS Apache Spark and see what are their differences

Dapr logo Dapr

Application and Data, Build, Test, Deploy, and Microservices Tools

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.
  • Dapr Landing page
    Landing page //
    2022-11-22
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Dapr videos

Dapr. Hair Pomade - Overview

More videos:

  • Review - Outstanding Indian Hair Products Episode 2 - DAPR | GIVEAWAY
  • Review - REVIEW OF DAPR HAIR POMADE || UNBOXING DAPR || USING DAPR HAIR POMADE | WOW FRAGRANCE | MISTER BAGGA

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

Category Popularity

0-100% (relative to Dapr and Apache Spark)
Monitoring Tools
100 100%
0% 0
Databases
0 0%
100% 100
Web And Application Servers
Big Data
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 Dapr and Apache Spark

Dapr Reviews

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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...

Social recommendations and mentions

Apache Spark might be a bit more popular than Dapr. We know about 56 links to it since March 2021 and only 46 links to Dapr. 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.

Dapr mentions (46)

  • .NET Aspire is the best way to experiment with Dapr during local development
    Dapr provides a set of building blocks that abstract concepts commonly used in distributed systems. This includes secured synchronous and asynchronous communication between services, caching, workflows, resiliency, secret management and much more. Not having to implement these features yourself eliminates boilerplate, reduce complexity and allows you to focus on developing your business features. - Source: dev.to / 19 days ago
  • Join the Diagrid Catalyst AWS Hackathon!
    Diagrid Catalyst is a Developer API platform providing a brand-new approach to distributed application development. Using the Catalyst APIs, powered by the Dapr open source project, developers can overcome the complexity of rewriting common software patterns and achieve higher productivity by offloading infrastructure concerns from their code to Catalyst. - Source: dev.to / 25 days ago
  • Interesting projects using WebAssembly
    The following two examples are open-source projects maintained by Fermyon with contributions from companies like Microsoft and SUSE. The first is Spin, which allows us to use WebAssembly to create Serverless applications. The second, SpinKube, combines some of the topics I'm most excited about these days: WebAssembly and Kubernetes Operators :) The official website says, "By running applications in the Wasm... - Source: dev.to / about 2 months ago
  • The Ambassador Pattern
    Speaking of this has anyone had much experience with Dapr (https://dapr.io/) before? I always thought this was a particularly interesting approach from Microsoft where they use this pattern to essentially take the complexity of micro services and instead try and keep it as simple as a normal .NET application but (and I think this is the clever part) in both a vendor and language neutral way. But all of a sudden it... - Source: Hacker News / 6 months ago
  • Comparing Azure Functions vs Dapr on Azure Container Apps
    Azure Container Apps hosting of Azure Functions is a way to host Azure Functions directly in Container Apps - additionally to App Service with and without containers. This offering also adds some Container Apps built-in capabilities like the Dapr microservices framework which would allow for mixing microservices workloads on the same environment with Functions. - Source: dev.to / 8 months ago
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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 / 3 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

What are some alternatives?

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

Akka - Build powerful reactive, concurrent, and distributed applications in Java and Scala

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

Istio - Open platform to connect, manage, and secure microservices

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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