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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Today’s data warehouses are more advanced than they have ever been, yet the methods for integrating data have not kept pace with these advancements. The outdated middleware systems present significant obstacles for businesses aiming for agility. By utilizing SQL functions in Snowflake, organizations can effectively push data to their applications. It's also important to manage integration alongside other tasks in the data pipeline. Minimizing the need for extensive data infrastructure can help alleviate security concerns and reduce vendor assurance burdens. Complicated middleware and ETL processes contribute to deployment delays. Maintaining agility while minimizing code complexity is essential. Addressing the issues of consolidating customer data is key to establishing a reliable single source of truth. Recent advancements offer unprecedented connectivity and flexibility. Integrations can now operate without any intermediary infrastructure between the data source and its destination. Instead of transferring data, Connect utilizes live queries to present information directly within the destination application, ensuring that users always have access to the most current data.

Description

Effortlessly create, edit, and manage your data models without the hassle of needing another tool by using Weld. This platform is equipped with an array of features designed to streamline your data modeling process, including intelligent autocomplete, code folding, error highlighting, audit logs, version control, and collaboration capabilities. Moreover, it utilizes the same text editor as VS Code, ensuring a fast, efficient, and visually appealing experience. Your queries are neatly organized in a library that is not only easily searchable but also accessible at any time. The audit logs provide transparency by showing when a query was last modified and by whom. Weld Model allows you to materialize your models in various formats such as tables, incremental tables, views, or tailored materializations that suit your specific design. Furthermore, you can conduct all your data operations within a single, user-friendly platform, supported by a dedicated team of data analysts ready to assist you. This integrated approach simplifies the complexities of data management, making it more efficient and less time-consuming.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery Yes 
Salesforce Yes 
Snowflake Yes 
Zendesk Yes 
Amazon Ads No 
Amazon S3 No 
Customer.io No 
Google Cloud Storage No 
HubSpot CRM No 
Intercom No 
Meta Ads No 
Microsoft Advertising No 
MongoDB No 
MySQL No 
Ortto No 
Pinterest No 
SQL Server No 
Snapchat No 
Stripe No 
e-conomic No 

Integrations

Google Cloud BigQuery Yes 
Salesforce Yes 
Snowflake Yes 
Zendesk Yes 
Amazon Ads Yes 
Amazon S3 Yes 
Customer.io Yes 
Google Cloud Storage Yes 
HubSpot CRM Yes 
Intercom Yes 
Meta Ads Yes 
Microsoft Advertising Yes 
MongoDB Yes 
MySQL Yes 
Ortto Yes 
Pinterest Yes 
SQL Server Yes 
Snapchat Yes 
Stripe Yes 
e-conomic Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

€750 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Omnata

Country

Australia

Website

omnata.com

Vendor Details

Company Name

Weld

Founded

2021

Country

Denmark

Website

weld.app/

Product Features

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Alternatives

Alternatives