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ActiveBatch VS Apache Avro

Compare ActiveBatch VS Apache Avro and see what are their differences

SysAid
SysAid is a robust IT Service Management (ITSM) platform powered by Agentic AI, automating the repetitive, time-consuming work. featured
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ActiveBatch logo ActiveBatch

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

Apache Avro logo Apache Avro

Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.
  • 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 Avro Landing page
    Landing page //
    2022-10-21

ActiveBatch

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

Apache Avro

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

ActiveBatch features and specs

  • Comprehensive Automation Capabilities
    ActiveBatch offers a wide range of automation capabilities, allowing users to manage complex workflows across various systems and applications effectively.
  • Integration with Multiple Platforms
    ActiveBatch supports integration with numerous third-party applications, cloud services, and databases, facilitating seamless workflow automation across diverse environments.
  • User-Friendly Interface
    The platform provides an intuitive drag-and-drop interface that simplifies the creation and management of workflows, making it accessible for users without extensive technical knowledge.
  • Scalability
    ActiveBatch is designed to scale and accommodate growing business needs, providing robust performance for both small and large operations.
  • Extensive Library of Pre-Built Templates
    The solution comes with a wide range of pre-built job steps and templates, helping users accelerate deployment and reduce the complexity of workflow automation setup.

Apache Avro features and specs

  • Schema Evolution
    Avro supports seamless schema evolution, allowing you to add fields and change data types without impacting existing data. This flexibility is advantageous in environments where data structures frequently change.
  • Compact Binary Format
    Avro uses a compact binary format for data serialization, leading to efficient storage and faster data transmission compared to text-based formats like JSON or XML.
  • Language Agnostic
    Avro is designed to be language agnostic, with support for multiple programming languages, including Java, Python, C++, and more. This makes it easier to integrate with various systems.
  • No Code Generation Required
    Unlike other serialization frameworks such as Protocol Buffers and Thrift, Avro does not require generating code from the schema, simplifying the development process.
  • Self Describing
    Each Avro data file contains its schema, making the data self-describing. This helps maintain consistency between data producers and consumers.

Possible disadvantages of Apache Avro

  • Lack of Human Readability
    Avro's binary format is not human-readable, making it challenging to debug or inspect data without specialized tools.
  • Schema Management Overhead
    While Avro supports schema evolution, managing and maintaining these schemas across multiple services can become complex and require additional coordination.
  • Limited Support for Complex Data Types
    Avro has limitations when it comes to the representation of certain complex data types, which might necessitate workarounds or transformations that add complexity.
  • Learning Curve
    Users who are new to Apache Avro may face a learning curve to understand schema creation, evolution, and integration within their data pipelines.
  • Dependency on Schema Registry
    Using Avro effectively often requires integrating with a schema registry, adding an extra layer of infrastructure and potential points of failure.

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

Apache Avro videos

+ Add

CCA 175 : Apache Avro Introduction

More videos:

  • Review - End to end Data Governance with Apache Avro and Atlas

Category Popularity

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

ActiveBatch

Apache Avro

Workflow Automation
100 100%
Workflow Automation
0% 0
Development
0 0%
Development
100% 100
IT Automation
100 100%
IT Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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

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

Apache Avro Reviews

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

Social recommendations and mentions

Based on our record, Apache Avro seems to be more popular. It has been mentiond 14 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.

Apache Avro mentions (14)

  • Pulumi Gestalt 0.0.1 released
    A schema.json converter for easier ingestion (likely supporting Avro and Protobuf). - Source: dev.to / about 2 months ago
  • Why Data Security is Broken and How to Fix it?
    Security Aware Data Metadata Data schema formats such as Avro and Json currently lack built-in support for data sensitivity or security-aware metadata. Additionally, common formats like Parquet and Iceberg, while efficient for storing large datasets, don’t natively include security-aware metadata. At Jarrid, we are exploring various metadata formats to incorporate data sensitivity and security-aware attributes... - Source: dev.to / 7 months ago
  • Open Table Formats Such as Apache Iceberg Are Inevitable for Analytical Data
    Apache AVRO [1] is one but it has been largely replaced by Parquet [2] which is a hybrid row/columnar format [1] https://avro.apache.org/. - Source: Hacker News / over 1 year ago
  • Generating Avro Schemas from Go types
    The most common format for describing schema in this scenario is Apache Avro. - Source: dev.to / over 1 year ago
  • gRPC on the client side
    Other serialization alternatives have a schema validation option: e.g., Avro, Kryo and Protocol Buffers. Interestingly enough, gRPC uses Protobuf to offer RPC across distributed components:. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing ActiveBatch and Apache Avro, 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 Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

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

Apache HBase - Apache HBase – Apache HBase™ Home

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

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

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