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Streamlining Your Data Journey: A Comprehensive Review of Weld

Emilio Biz
#modern data stack#ETL#data pipeline#reverse ETL#orchestration#connectors
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Introduction

Launching a modern data stack can be daunting due to the overwhelming number of available tools, upfront costs, and the need for skilled expertise. A typical data stack often includes tools like Fivetran, Snowflake, dbt, and a visualisation platform of choice. Each of these tools requires specific expertise, separate pricing, and different tabs in your browser. This decentralisation complicates developments, governance and onboarding, making it a nightmare to get started on your data journey. These challenges sparked the need for a comprehensive solution: Weld.

Review of Weld

Weld has become the preferred solution for our customers due to its short time-to-value, user-friendly interface, and streamlined setup process. Here’s a closer look at what makes Weld stand out.

Connectors to Over 150+ Sources

Weld connects to over 150 data sources, including PostgreSQL, Stripe, Salesforce, and HubSpot, enabling seamless data integration without custom coding. This connectivity makes it accessible for teams without technical expertise. For unique business needs, users can also create custom connectors within the platform.

SQL Editor with Built-In AI Assistant

Weld’s SQL editor features an AI assistant, Ed, which helps generate data models, fix SQL errors, and optimise queries. Leveraging GPT-4o, Ed speeds up the data modelling process and reduces errors, enhancing productivity for data teams.

Data Governance & Observability

Weld ensures data governance and observability with built-in sync alerts and automated email notifications for data pipeline failures. Comprehensive testing capabilities validate data before it reaches business users, maintaining high data quality and trust in analytics processes.

Live Collaboration in the Editor

Weld supports real-time collaboration within its SQL editor, allowing multiple users to work on the same data models simultaneously. This is particularly beneficial for distributed teams.

End-to-End Data Lineage

Weld provides comprehensive data lineage capabilities, enabling users to trace data from its source through various transformations to its final state. This is invaluable for debugging and auditing.

Orchestration

Weld’s orchestration capabilities allow users to schedule and automate data pipelines, SQL models, and reverse ETL processes, ensuring efficient data processing with reduced manual intervention.

Reverse ETL

With reverse ETL, Weld enables businesses to push data back into operational tools like CRM systems and marketing platforms, ensuring insights from data analysis directly inform business decisions and actions.

Pricing

Starting at 79€ per month for 2M rows, Weld gives great value for money. The clear and transparent pricing ensures that businesses can scale their usage without unexpected costs.

Customer Support

Last, but not least, Weld offers exceptional customer support through its in-app chat feature, ensuring help is just a few clicks away. Users, including ourselves, have consistently experienced prompt response times, enhancing the overall user experience.

Who is Weld for?

Data engineers, analysts, scientists, and anyone curious about extracting value from data—from marketing managers to heads of growth—can benefit from Weld’s simplicity and AI capabilities.

Weld in action

At Pyne we use Weld in a wide range of projects thanks to the many connectors available and how easy it is to integrate with other tools (+ the reverse ETL capabilities of course).

In our project with Installatørgruppen we used the connectors in Weld to get finance data from Navision, E-conomic, Business Central, and Ekomplet. Thereafter we built a data model in Weld to consolidate the finance data from the different systems and different entities of Installatørgruppen. Once we had all of the finance data in one centralised place, we could build further analytics on top of it which in the end reduced the time it took for Installatørgruppen to integrate new companies into the system, helped them make better informed decisions and put them as a frontrunner in data-driven consolidation in their market. For Tekla, we implemented Weld as the core of their data warehousing solution, enabling us to centralise data from their e-commerce, retail, and B2B operations. This integration with BigQuery provided a unified view of their business, simplifying data management and enhancing their ability to make informed decisions. By using Weld, we helped Tekla streamline their operations and improve customer experiences, ensuring they stay competitive in the luxury bedding market.

Conclusion

Weld offers a robust solution for navigating the complexities of modern data management, bringing together extensive connectivity options, AI-powered SQL editing, and reverse ETL capabilities into a single platform. At Pyne, we’ve successfully leveraged Weld in projects to streamline data integration and modelling, demonstrating its value in real-world applications. Whether you’re a data engineer, analyst, or business leader, Weld’s comprehensive features can help you manage your data more effectively, ultimately supporting smarter, data-driven decisions.

If you are interested in hearing more about how Weld can be implemented in your company, do not hesitate to reach out to us directly or sign up for our 3-hour free data assessment.

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