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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Integrate the TableFlow import functionality directly into your application with minimal coding effort. Users can conveniently upload CSV files, map their columns, and address any errors to finalize the import process. Developers can then access the refined JSON data through the frontend SDK or the TableFlow API. This allows your engineering team to dedicate more time to enhancing core product features and innovations. Speed up the onboarding process for new customers with TableFlow’s efficient data import system. Eliminate the burden of manual data cleaning by utilizing advanced error detection and automatic correction capabilities. You can embed a fully customizable modal in your app using our frontend SDKs. The importer can be easily configured and tailored to your needs without any coding. Adjust the import process to seamlessly align with your application’s design. The system can automatically identify header rows and map the corresponding columns accordingly. You can impose requirements on all incoming data, enabling the import of millions of rows in mere seconds. With TableFlow, the open-source CSV importer, you can significantly accelerate the onboarding of customer data and enhance user satisfaction in the process. Ensure a smoother transition for your users by providing them with a reliable and efficient data import experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AnalyticsCreator
CSS
Databricks Data Intelligence Platform
DbVisualizer
Flyte
JSON
JavaScript
Kestra
LanceDB
QStudio
Quary
React
SQL
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI

Integrations

AnalyticsCreator
CSS
Databricks Data Intelligence Platform
DbVisualizer
Flyte
JSON
JavaScript
Kestra
LanceDB
QStudio
Quary
React
SQL
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$99 per month
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

TableFlow

Website

tableflow.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

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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