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features
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support

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Description

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.

Description

Comparing Excel files can be a crucial task, but is often underestimated. It can be time-consuming as you have to consider several factors. The level of expertise of the user The complexity of files The specific insights needed Sheetmatcher does not require any prior Excel knowledge. Drag and drop two files and select the key field. Even if the columns or rows have been rearranged, you will be able to identify discrepancies and missing records instantly. Sheetmatcher ensures accurate results and reduces the time required to complete this task. Use cases: 1. accountants who need to compare financial data 2. any employee that needs to compare KPIs 3. IT consultants who need to compare customization parameters/settings 4. IT consultants who need to verify migrated data In Basic Plan: - 3-step guided process - Color-coded report that shows missing records, missing columns, and discrepancies (value file 1 vs value file 2) - Define one or multiple columns as key - Match per column names - Check Keys are unique Only in the Advanced Plan: - Export of comparison results in Xlsx - Use a mapping file to map the Keys in case they are different - Text-based search to use names as Key (with % success rate)

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AnalyticsCreator
Databricks
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
LanceDB
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQL
SkySQL
Streamkap
Tad
Union Cloud
Unity Catalog
nao

Integrations

AnalyticsCreator
Databricks
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
LanceDB
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQL
SkySQL
Streamkap
Tad
Union Cloud
Unity Catalog
nao

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$5
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DuckDB

Website

duckdb.org

Vendor Details

Company Name

Francesco Cortese - IT Solutions

Founded

2024

Country

Germany

Website

www.sheetmatcher.com

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Product Features

File and Document Comparison

Audio Comparison
Barcode Comparison
Braille Comparison
Code Comparison
Document Comparison
File Comparison
Image Comparison
PDF Comparison
Video Comparison

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