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Apache Spark VS ActiveBatch

Compare Apache Spark VS ActiveBatch and see what are their differences

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  2. » Videos
  3. » Reviews
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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.

ActiveBatch logo ActiveBatch

Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • ActiveBatch Landing page
    Landing page //
    2020-12-04

Orchestrate your entire tech stack with ActiveBatch Workload Automation and Enterprise Job Scheduling. Build and centralize end-to-end workflows under a single pane of glass. Seamlessly manage systems, applications, and services across your organization. Eliminate manual workflows with ActiveBatch so you can focus on higher value activities that drive your company forward.

Limitless Endpoints: Use native integrations and our low-code REST API adapter to connect to any server, any application, any service.

Proactive Support Model: 24/7- US-based support and predictive diagnostics.

Low Code Drag-and-Drop GUI: Easily build reliable, customizable, end-to-end processes.

Apache Spark

Website
spark.apache.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

ActiveBatch

Website
advsyscon.com
Pricing URL
Official ActiveBatch Pricing
$ Details
paid Free Trial
Platforms
Cross Platform
Release Date
2000 January
Edit details

Apache Spark videos

+ Add

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

ActiveBatch videos

+ Add

Redefine Your IT Automation Strategy with ActiveBatch

More videos:

  • Review - Demand More From Your IT Automation
  • Demo - ActiveBatch Self-Service Portal for Business Users

Category Popularity

0-100% (relative to Apache Spark and ActiveBatch)

Apache Spark

ActiveBatch

Databases
100 100%
Databases
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
Big Data
100 100%
Big Data
0% 0
IT Automation
0 0%
IT Automation
100% 100

User comments

Share your experience with using Apache Spark and ActiveBatch. 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 Apache Spark and ActiveBatch

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...
Source: searchbusinessanalytics.techtarget.com
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...
Source: www.spec-india.com
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...
Source: www.analyticsinsight.net

ActiveBatch Reviews

6 Best Power Automate Alternatives & Competitors in 2024
ActiveBatch is an all-in-one solution that gives organizations the power to centrally manage workload automation and job scheduling. By seamlessly bringing together different tools and applications, ActiveBatch offers a unified platform that gets rid of bottlenecks and failures while improving IT service levels.
Source: www.softwaretestingmaterial.com
Top 10 Control-M Alternatives in ’23
ActiveBatch is a versatile workload automation tool that can optimize and simplify manual and redundant tasks, enabling business process automation. ActiveBatch offers an intuitive drag-and-drop interface and a wide range of functionalities on a single platform for a centralized workload automation.
Source: research.aimultiple.com
9 Control-M Alternatives & Competitors In 2023
ActiveBatch offers a feature-rich workload automation tool. It’s a robust platform that provides security, auditing, and compliance as well as high availability of non-cluster failover. ActiveBatch’s Mobile Ops app makes it easy for field agents to stay connected with their workflows and processes while on the go.
Source: www.softwaretestingmaterial.com
The Top 5 BMC Control-M API Alternatives
ActiveBatch offers many features, including job scheduling, event-based triggers, file transfers, workload balancing, dependency tracking, notification and reporting capabilities, and support for various technologies and platforms. The software also includes a drag-and-drop visual interface and a pre-built library of job steps and templates, making it easier for users to...
Source: www.redwood.com

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 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

ActiveBatch mentions (0)

We have not tracked any mentions of ActiveBatch yet. Tracking of ActiveBatch recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Spark and ActiveBatch, 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.

Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.

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

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

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

JAMS Scheduler - Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.

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