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ActiveBatch VS Hadoop

Compare ActiveBatch VS Hadoop and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

ActiveBatch logo ActiveBatch

Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • 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.

  • Hadoop Landing page
    Landing page //
    2021-09-17

ActiveBatch

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

Hadoop

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

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

Hadoop videos

+ Add

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 ActiveBatch and Hadoop)

ActiveBatch

Hadoop

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

User comments

Share your experience with using ActiveBatch 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 ActiveBatch and Hadoop

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

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 more popular. It has been mentiond 16 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.

ActiveBatch mentions (0)

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

Hadoop mentions (16)

View more

What are some alternatives?

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

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

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

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

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