Software Alternatives, Accelerators & Startups

Apache Spark VS Okteto

Compare Apache Spark VS Okteto 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.

Okteto logo Okteto

Development platform for Kubernetes applications.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Okteto Landing page
    Landing page //
    2023-02-14

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

Okteto videos

Okteto Walk Through

More videos:

  • Review - Cloud Native Development | Ramiro Berrelleza, Founder of Okteto & Sangam Biradar | OSCON 2020

Category Popularity

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

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...

Okteto Reviews

Top 10 Ephemeral Environments Solutions in 2024
Okteto emphasizes ease of use within ephemeral environments, simplifying deployment and management processes. Its user-friendly interface and scalability options cater to diverse development teams. Okteto's ability to provide real-time development environments that mirror production allows for quick iterations and faster feedback loops for developers.
Source: www.qovery.com

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Okteto. It has been mentiond 57 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 (57)

  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / about 11 hours ago
  • 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 / 5 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 / 6 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 / 6 months ago
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Okteto mentions (17)

  • Noob question: How do you setup your local dev environment?
    Check also devspace.sh and okteto.com. Source: about 1 year ago
  • Local development set up for microservices with Kubernetes - Skaffold
    There are dedicated tools just for that. Apart from skaffold check also tilt.dev, garden.io, devspace.sh, okteto.com. Source: about 1 year ago
  • Approaches in Cloud Development Ergonomics
    With Infrastructure as Code at its current state of maturity, it’s now easier than ever to replicate microservice environments in the cloud. This unlocked a new approach of having a personal production-like cloud environment for every developer, which they can use freely and in isolation. It comes in two flavors - persistent environments, or ephemeral environments created on demand with products like Okteto or... - Source: dev.to / over 1 year ago
  • free-for.dev
    Okteto Cloud - Managed Kubernetes service designed for remote development. Free developer accounts come with 5 Kubernetes namespaces, 3Gi/pod with a maximum of 8Gi/namespace, 1CPU/pod with a maximum of 4CPUs/namespace and 5GB Disk space. The apps sleep after 24 hours of inactivity. - Source: dev.to / over 1 year ago
  • Mutagen – Cloud-based development using your local tools
    Hi Jacob. I am one of the founders of Okteto (https://okteto.com/), a remote development platform for Compose and Kubernetes applications. We use Syncthing to sync code between the developer laptop and pods running in Kubernetes. I would love to know your thoughts on the strengths and weak points of Mutagen vs Syncthing for this use case. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing Apache Spark and Okteto, 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.

Garden.io - Cloud native & Kubernetes testing done right

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

Telepresence - Telepresence is an open source tool that lets you develop and debug your Kubernetes services...

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

DevSpace (for Kubernetes and Docker) - Cloud-Native Software Development with Kubernetes and Docker