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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 This innovative tool replaces the outdated "stare and compare" technique, which relied solely on visual inspection to identify changes across multiple JSON files.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 Apache Iceberg?

Iceberg is an advanced format tailored for high-performance large-scale analytics, merging the user-friendly nature of SQL tables with the robust demands of big data. It allows multiple engines, including Spark, Trino, Flink, Presto, Hive, and Impala, to access the same tables seamlessly, enhancing collaboration and efficiency. Users can execute a variety of SQL commands to incorporate new data, alter existing records, and perform selective deletions. Moreover, Iceberg has the capability to proactively optimize data files to boost read performance, or it can leverage delete deltas for faster updates. By expertly managing the often intricate and error-prone generation of partition values within tables, Iceberg minimizes unnecessary partitions and files, simplifying the query process. This optimization leads to a reduction in additional filtering, resulting in swifter query responses, while the table structure can be adjusted in real time to accommodate evolving data and query needs, ensuring peak performance and adaptability. Additionally, Iceberg’s architecture encourages effective data management practices that are responsive to shifting workloads, underscoring its significance for data engineers and analysts in a rapidly changing environment. This makes Iceberg not just a tool, but a critical asset in modern data processing strategies.

Media

Media

Integrations Supported

Integrations Supported

Amazon Data Firehose
Apache Flink
Apache Hive
Apache Impala
Apache Spark
Cloudflare R2
Daft
Dremio
Google Cloud Lakehouse
Impala
OLake Fusion
OLake Go
Onehouse
OpenMetadata
PuppyGraph
Salesforce Data 360
Stackable
StarRocks
Streamkap

API Availability

Has API

API Availability

Pricing Information

Based on project requirements.

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

DeltaXignia

Date Founded

2001

Company Location

United Kingdom

Company Website

www.deltaxignia.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

iceberg.apache.org

Categories and Features

Categories and Features

Big Data

Not specified

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