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What is DeltaMerge?

DeltaJSON offers a variety of solutions for comparing and managing JSON data efficiently. Our software-as-a-service platform enables users to compare, merge, patch, and utilize smart grafting through either our web application or REST API. You can easily select options to compare your JSON files, merge them, apply patches, or perform grafting tasks. Simply upload two or more JSON documents or paste your data directly into the application for a swift comparison. The 'Jobs History tab' feature allows users to conveniently download past comparison results with a simple click, facilitating easy sharing of findings with team members. This innovative tool replaces the outdated "stare and compare" technique, which relied solely on visual inspection to identify changes across multiple JSON files. DeltaJSON is capable of detecting even the tiniest modifications and can provide a comprehensive summary of these changes, thereby significantly conserving your time and resources. You also have the flexibility to customize how changes are reported, with additions marked in green and deletions in red, ensuring clarity and ease of understanding for all users. Embrace a more efficient way of handling your JSON data with DeltaJSON.

What is Delta Lake?

Delta Lake acts as an open-source storage solution that integrates ACID transactions within Apache Spark™ and enhances operations in big data environments. In conventional data lakes, various pipelines function concurrently to read and write data, often requiring data engineers to invest considerable time and effort into preserving data integrity due to the lack of transactional support. With the implementation of ACID transactions, Delta Lake significantly improves data lakes, providing a high level of consistency thanks to its serializability feature, which represents the highest standard of isolation. For more detailed exploration, you can refer to Diving into Delta Lake: Unpacking the Transaction Log. In the big data landscape, even metadata can become quite large, and Delta Lake treats metadata with the same importance as the data itself, leveraging Spark's distributed processing capabilities for effective management. As a result, Delta Lake can handle enormous tables that scale to petabytes, containing billions of partitions and files with ease. Moreover, Delta Lake's provision for data snapshots empowers developers to access and restore previous versions of data, making audits, rollbacks, or experimental replication straightforward, while simultaneously ensuring data reliability and consistency throughout the system. This comprehensive approach not only streamlines data management but also enhances operational efficiency in data-intensive applications.

Media

Media

Integrations Supported

Integrations Supported

Acryl Data
Actian Data Observability
Apache Spark
Ascend
Booz Allen MDR
Comcast Business VoiceEdge
Dell AI-Ready Data Platform
Edmunds Financial Management
IBM StreamSets
IBM watsonx.data integration
MySQL
Okera
Onehouse
Subsalt
Talend Data Fabric
Tecton
Timbr.ai
Trellix Data Encryption
Truthlocks
Upwork

API Availability

Has API

API Availability

Has API

Pricing Information

Based on project requirements.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

DeltaXignia

Date Founded

2001

Company Location

United Kingdom

Company Website

www.deltaxignia.com

Company Facts

Organization Name

Delta Lake

Date Founded

2019

Company Location

United States

Company Website

delta.io

Categories and Features

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Lake

Not specified

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