Software Alternatives, Accelerators & Startups

Stonebranch VS Apache Avro

Compare Stonebranch VS Apache Avro and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Stonebranch logo 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 Avro logo Apache Avro

Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.
  • Stonebranch Landing Page as of 10-30-24
    Landing Page as of 10-30-24 //
    2024-10-30
  • Stonebranch Drag-and-Drop Workflow
    Drag-and-Drop Workflow //
    2024-01-22
  • Stonebranch Integrated Dashboard
    Integrated Dashboard //
    2024-01-22

No matter the degree of automation, the Stonebranch platform is simple, modern, and secure. Using the Stonebranch Universal Automation Center, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Atlanta, Georgia, with points of contact and support across the globe Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. Learn more: www.stonebranch.com

  • Apache Avro Landing page
    Landing page //
    2022-10-21

Stonebranch features and specs

  • Workload Automation
    Job scheduling and Workload Automation capabilities that support on-prem, cloud and containerized microservices in a hybrid IT enviornment.
  • Data Pipeline Orchestration
    Simplify the management of your data pipeline with a centralized orchestration solution built to keep data moving—so that insights are delivered to the business without error.
  • Cloud Automation
    Centralize the management of automated workloads across private cloud, public cloud, and multi-cloud environment.
  • Managed File Transfer
    Move data between any type of cloud, on-prem or containerized system.
  • DevOps and DataOps Enabled
    Support dev, test, prod processes within the platorm, or by connecting to third party repositories like GitHub.
  • SaaS
    Deployment options include both SaaS and on-premises.

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.

Stonebranch videos

Stonebranch's Service Orchestration and Automation Platform (SOAP)

More videos:

  • Review - About the Stonebranch Universal Automation Center Platform

Apache Avro videos

CCA 175 : Apache Avro Introduction

More videos:

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

Category Popularity

0-100% (relative to Stonebranch and Apache Avro)
IT Automation
100 100%
0% 0
Development
0 0%
100% 100
Workflow Automation
100 100%
0% 0
Data Dashboard
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 Stonebranch and Apache Avro

Stonebranch Reviews

Top 10 Control-M Alternatives in ’23
However, choosing a workload automation solution that fits your business goals and objectives in a complex market landscape can be challenging. For instance, Control-M is one of the WLA market leaders along with ActiveBatch, Redwood RunMyJobs, Stonebranch Universal Automation Center (UAC) and JAMS WLA according to AIMultiple’s analysis based on 7 different data sources.
9 Control-M Alternatives & Competitors In 2023
Stonebranch helps organizations of any size scale and complexity scale up or down as needed. In addition to providing scalable IT automation, Stonebranch simplifies complex IT environments with its platform-agnostic, cloud-based architecture. Customers can benefit from a smoother transition to the cloud without sacrificing security, flexibility, or data security. Regardless...
The Top 5 BMC Control-M API Alternatives
With Stonebranch, organizations can centrally manage and automate complex business processes across on-premises, cloud, and hybrid environments. UAC is designed to simplify IT automation and make it more accessible to business users while still providing advanced features for IT operations teams.
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.

Stonebranch mentions (0)

We have not tracked any mentions of Stonebranch yet. Tracking of Stonebranch 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 Stonebranch and Apache Avro, you can also consider the following products

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

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.