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features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 
Tonic Ephemeral Yes 
Warp 10 Yes 
e6data 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 
Tonic Ephemeral No 
Warp 10 No 
e6data 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 

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