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Description
Apache Avro™ serves as a system for data serialization, offering intricate data structures and a fast, compact binary format along with a container file for persistent data storage and remote procedure calls (RPC). It also allows for straightforward integration with dynamic programming languages, eliminating the need for code generation when reading or writing data files or implementing RPC protocols; this only becomes a recommended optimization for statically typed languages. Central to Avro's functionality is its reliance on schemas, which accompany the data at all times, ensuring that the schema used for writing is always available during reading. This design choice minimizes the overhead per value, resulting in both rapid serialization and reduced file size. Furthermore, it enhances compatibility with dynamic and scripting languages since the data is entirely self-describing along with its schema. When data is saved in a file, its corresponding schema remains embedded within, allowing for subsequent processing by any compatible program. In instances where the reading program anticipates a different schema, this discrepancy can be resolved with relative ease, showcasing Avro's flexibility and efficiency in data management. Overall, Avro's architecture significantly streamlines the handling of data across a variety of programming environments.
Description
One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache DataFusion
Yes
Apache Hive
Yes
Arroyo
Yes
Beats
Yes
Bitbucket
No
DBmarlin
No
Data Sentinel
Yes
Delphix
No
GitHub
No
GitLab
No
Integrations
Apache DataFusion
No
Apache Hive
No
Arroyo
No
Beats
No
Bitbucket
Yes
DBmarlin
Yes
Data Sentinel
No
Delphix
Yes
GitHub
Yes
GitLab
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$5000 per year
Billed annually
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
avro.apache.org
Vendor Details
Company Name
Liquibase
Founded
2012
Country
United States
Website
www.liquibase.com
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Product Features
Continuous Delivery
Application Lifecycle Management
No
Application Release Automation
Yes
Build Automation
Yes
Build Log
Yes
Change Management
Yes
Configuration Management
Yes
Continuous Deployment
Yes
Continuous Integration
Yes
Feature Toggles / Feature Flags
Yes
Quality Management
Yes
Testing Management
Yes
Continuous Integration
Build Log
No
Change Management
Yes
Configuration Management
Yes
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
No
Permission Management
No
Quality Assurance Management
Yes
Testing Management
Yes
Database
Backup and Recovery
No
Creation / Development
Yes
Data Migration
No
Data Replication
No
Data Search
No
Data Security
Yes
Database Conversion
Yes
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
DevOps
Approval Workflow
Yes
Dashboard
Yes
KPIs
No
Policy Management
Yes
Portfolio Management
No
Prioritization
No
Release Management
Yes
Timeline Management
No
Troubleshooting Reports
No
