Apache Avro

Apache Avro

Apache Software Foundation
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About

​AWS Developer Tools are designed to help developers and IT operations professionals practicing DevOps to rapidly and safely deliver software. These tools enable you to securely store and version control your application's source code and automatically build, test, and deploy your application to AWS or your on-premises environment. You can use AWS CodePipeline to orchestrate an end-to-end software release workflow using these services and third-party tools or integrate each service independently with your existing tools. ​Implement CI/CD with the AWS developer tools to accelerate your software development and release cycle. AWS developer tools are built to work with AWS, making it easier for your team to get set up and be productive. Define application infrastructure in familiar, easy-to-use programming languages. Use ML and big data to identify issues and suggest solutions based on Amazon's best practices.

About

Apache Avro™ is a data serialization system. Avro provides rich data structures, a compact, fast, binary data format, a container file, to store persistent data, remote procedure call (RPC). Also, it provides simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation as an optional optimization, only worth implementing for statically typed languages. Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overheads, making serialization both fast and small. This also facilitates use with dynamic, scripting languages, since data, together with its schema, is fully self-describing. When Avro data is stored in a file, its schema is stored with it, so that files may be processed later by any program. If the program reading the data expects a different schema this can be easily resolved.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software development teams wanting a tool to implement DevOps practices by automating their continuous integration and delivery pipelines using AWS services

Audience

Developers looking for a data serialization system for rich data structures, data storage, and remote procedure calls

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Aamazon
Founded: 1994
United States
aws.amazon.com/es/products/developer-tools/

Company Information

Apache Software Foundation
Founded: 1999
United States
avro.apache.org

Alternatives

Maestro

Maestro

MaestroDev

Alternatives

Liquid XML Data Binder

Liquid XML Data Binder

Liquid Technologies Ltd
DbSchema

DbSchema

Wise Coders
AD Query

AD Query

SysOp Tools

Categories

Categories

Integrations

AWS CodePipeline
Amazon Web Services (AWS)
Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Timeplus
Tonic Ephemeral
Warp 10
e6data

Integrations

AWS CodePipeline
Amazon Web Services (AWS)
Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Timeplus
Tonic Ephemeral
Warp 10
e6data
Claim AWS Developer Tools and update features and information
Claim AWS Developer Tools and update features and information
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