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Average Ratings 0 Ratings
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
Organizations must exhibit adaptability and responsiveness in crafting and executing their data strategies to effectively navigate evolving landscapes, while simultaneously maintaining robust data governance practices. Datumize Zentral (DZ) serves as a comprehensive self-service management platform designed for the creation, configuration, testing, deployment, and monitoring of data pipelines, agents, and third-party bundles. With its intuitive user interface and API, it caters to the needs of clients and partners alike. Furthermore, its hosting capabilities are versatile, allowing it to be deployed on Datumize Cloud, any preferred cloud provider, or even on local servers. This flexibility ensures that businesses can tailor their data solutions to fit their specific operational requirements.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache DataFusion
Yes
Apache Hive
Yes
Arroyo
Yes
Beats
Yes
Data Sentinel
Yes
Hackolade
Yes
SSIS Integration Toolkit
Yes
Semarchy xDI
Yes
Specmatic
Yes
Timeplus
Yes
Integrations
Apache DataFusion
No
Apache Hive
No
Arroyo
No
Beats
No
Data Sentinel
No
Hackolade
No
SSIS Integration Toolkit
No
Semarchy xDI
No
Specmatic
No
Timeplus
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
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)
Yes
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
avro.apache.org
Vendor Details
Company Name
Datumize
Founded
2014
Country
Spain
Website
www.datumize.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
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
No
Data Quality Control
Yes
Data Security
No
Information Governance
Yes
Master Data Management
Yes
Match & Merge
Yes