Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
AnalyticsCreator
Databricks
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
LanceDB
MotherDuck
Observable
Integrations
AnalyticsCreator
Databricks
DbGate
DbVisualizer
Enrich.sh
Flyte
Kestra
LanceDB
MotherDuck
Observable
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