Why we built free data connectors for analysts
Why do you need to pay more just to access your own marketing data?
For many analysts and marketing teams, traditional SaaS connectors often come with frustrating limitations**, high costs, rigid pricing models, and limited control** over what’s happening behind the scenes. If you’ve ever hit a plan limit or waited weeks for a support ticket, you’re not alone.
We built a free, open-source connectors library to fix that. It’s for analysts who want transparency, for marketers who need flexibility, and for teams that value control over their data pipelines. No black boxes. No surprise fees. Just clean, customizable, and scalable integration, on your terms.
The problem with traditional SaaS data connectors
The problem with traditional SaaS data connectors
SaaS data connectors promise convenience, but come with hidden trade-offs. From rising costs to limited flexibility, they often create more problems than they solve. Let’s break down the key issues analysts and marketing teams face when relying on these tools.
High costs and usage-based pricing models
Traditional connectors often come with usage-based pricing and hidden fees. Costs rise quickly as you add data sources or increase volume. Even small changes can trigger higher bills. For growing teams, this makes scaling unpredictable and forces tough trade-offs between full reporting and staying within budget.
Black-box logic and vendor lock-in
Most SaaS connectors do not clearly show how your data is processed. You can’t verify the logic, resolve issues, or tailor it to your needs. You’re tied to their system, pricing, and update rules, making it hard to scale or stay flexible as your reporting needs evolve.
Limited customization for evolving needs
Traditional SaaS connectors are rigid; they rarely let you tailor how data is mapped, transformed, or filtered. As marketing strategies change, you’re stuck waiting for vendors or paying extra for new features. Custom requirements become bottlenecks, not opportunities, forcing analysts to work around limitations instead of having tools adapt to them.
Integration challenges
Many SaaS tools fail to keep systems truly connected. Integration gaps result in delayed updates, missing fields, and inconsistent data across platforms. Over time, this slows down reporting, increases manual work, and makes it harder for teams to trust the numbers they rely on every day.
Scaling limits
As your data and integrations grow, traditional SaaS connectors often struggle to keep up. They struggle to handle increased volume, leading to slow syncs or failed jobs. You hit performance ceilings and must pay more for higher tiers, yet still face the same limitations. It’s a costly bottleneck that stalls your team’s growth plans.
How SaaS connector pricing grows with you
How SaaS connector pricing grows with you
SaaS connector tools are priced on the things that grow as your reporting grows: sources, destinations, accounts and refresh frequency. Their own pricing pages say so (checked in October 2026; see each page for current plans).
Supermetrics: sources, destinations, users, accounts
Supermetrics’ pricing page sets each plan by the number of data sources, the destinations, the users and the accounts per data source. Data warehouse destinations such as BigQuery and Snowflake are listed under its Enterprise plan.
Funnel: connectors and destinations per tier
Funnel’s pricing page separates its tiers by how many connectors and destinations each one includes, with the top tier priced on request.
Coupler.io: accounts, destinations and refresh frequency
Coupler.io’s pricing page scales plans by accounts, destinations and refresh frequency, with a row limit per run on its lowest tiers.
None of this is hidden, and for a small setup it can be good value. The point is the direction: every new channel, client account or destination is a pricing event.
OWOX Data Marts
See your first report built in real time. 15 minutes.
- Connect your data warehouse
- Pick your metrics
- Get a live Google Sheets report
In the time it takes to write a ticket. Then imagine never writing that ticket again.
Book a DemoWe'll use your actual use case
Why open-source connectors are a better alternative
Why open-source connectors are a better alternative
Not all data connectors are built for control or growth. Unlike SaaS tools, open-source options offer full visibility, flexibility, and ownership. Here’s how they solve the problems listed above.
Full control and transparency
With open source, you’re in full control. You can view, edit, and version every part of the connector. When APIs change or new fields are introduced, you can update the code instantly, eliminating vendor delays and guesswork. Everything is transparent, adaptable, and built to match your data needs.
Easy to customize and extend
Open-source connectors enable you to adapt instantly when APIs change or new data is required. Instead of waiting for vendor updates, you can customize mappings, add custom fields, or connect unique systems yourself. This flexibility means your integrations evolve with your workflows, without delays or additional costs.
Built by a community, for the community
Open-source connectors improve through community collaboration. Developers and analysts contribute by adding new sources, fixing bugs, and enhancing features. This shared effort creates a fast-evolving ecosystem that meets real-world needs, often more reliably and quickly than closed vendor systems.
Cost-effective and scalable
Open-source connectors eliminate licensing fees, allowing teams to scale integrations without unexpected costs. You’re free to add data sources or ramp up syncs without worrying about usage tiers. This DIY model delivers significant long-term savings, especially for startups and SMEs with tight budgets.
Improved security and compliance
Open-source connectors offer full visibility into how data is handled, allowing teams to audit transformations, control access, and apply their own security standards. This transparency supports compliance needs, making it easier to meet internal policies and external regulations without relying on third-party black boxes.
Who benefits from free and open connectors?
Who benefits from free and open connectors?
Not every team has the budget for premium tools or the time to work around their limits. Open-source connectors offer flexibility, control, and cost savings across roles. Here’s how different teams benefit.
Data analysts powering marketing insights
Open-source connectors provide analysts with complete visibility and control over their ETL pipelines, enabling them to debug, refine, and enhance data flows to create richer and more accurate insights. This independence accelerates analysis and ensures that reports align with real-world needs, helping marketing teams deliver precision-driven insights on time.
Marketing & RevOps teams gain flexibility
Open-source connectors enable Marketing and RevOps teams to bring data from ad platforms, CRMs, and analytics into unified dashboards, without requiring coding or expensive tools. They get real-time campaign metrics, simplify tracking, and reduce reliance on IT. This enables faster insights and better decision-making.
Startups and SMEs get more for less
Small businesses and startups often face tight budgets and can’t afford costly SaaS tools. Open-source connectors offer a free way to integrate ad platforms, CRMs, and data warehouses. They allow these teams to scale operations, automate reporting, and access quality data, without increasing costs or relying on paid platforms.
What makes the OWOX connector library unique
What makes the OWOX connector library unique
OWOX connectors are more than just open-source; they’re designed with real marketing and analytics workflows in mind. Here’s what makes this library stand out.
Built on open-source JavaScript connectors
OWOX connectors are open-source JavaScript, in the OWOX Data Marts repository, so you can read, modify and extend the code as needed. You are not tied to a vendor’s update schedule.
Ad platforms, exchange rates and more
The library covers the main ad platforms, including Facebook Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads, X Ads and Reddit Ads, plus Open Exchange Rates for currency data. The full list is on the connectors page.
Your data warehouse, your choice
Each connector is set up as a data mart of the Connector type and loads into the data warehouse you choose: BigQuery, Snowflake, Databricks, AWS Athena or AWS Redshift. The data stays there, under your control.
Roadmap transparency and community involvement
Everything is open on GitHub, including current features, upcoming updates, and ideas from the community. Anyone can raise issues, request features, or contribute code, following the contributing guide.
From the data warehouse to the tools people read
Loaded data is the start. In OWOX Data Marts an analyst defines data marts in SQL on top of it, and the same data mart is published to Google Sheets, Looker Studio, Slack and email.
How open-source connectors fit your analytics stack
How open-source connectors fit your analytics stack
Modern analytics workflows demand tools that are adaptable, transparent, and easy to integrate. Open-source connectors meet these needs by fitting into every layer of the stack, without adding complexity or cost. Here’s where they make the biggest impact.
Modular, cloud-native architecture
Open-source connectors plug directly into today’s data stacks, integrating with warehouses like BigQuery, transformation tools, and BI platforms. Built as independent, cloud-native modules, they offer flexibility to scale, replace, or extend components without vendor lock-in, supporting ever-evolving data ecosystems.
Empowering self-serve analytics
Open-source connectors make data pipelines clear and customizable, so teams don’t have to rely on engineers for every change. With accurate, real-time data flowing into familiar tools, non-technical users can explore insights, build reports, and make decisions faster without bottlenecks or long support queues.
Easily orchestrated and governed
These connectors work well with orchestration tools, enabling teams to automate data workflows, manage version control, and establish access rules. This setup supports compliance and governance while providing teams with full control, without being tied to any specific vendor or platform.
Better pipeline monitoring and accuracy
Open-source connectors integrate seamlessly with monitoring tools, providing teams with full visibility into every step of the data flow. You can identify failures, detect data issues early, and resolve problems quickly. This enhances reliability and ensures reports remain accurate, consistent, and trusted throughout the business.
Start with OWOX Data Marts
OWOX Data Marts is free and open source when you run it yourself: install it with npm install -g owox, run owox serve, and connect your first source. If you would rather not host anything, OWOX Cloud runs the same product for you.
To see the whole route from an ad platform to a spreadsheet, follow the Facebook Ads → Google Sheets guide, or build one unified ad report across platforms.
Check out the GitHub repository, leave a ⭐ star, and tell us which connector you need next.
Turn your data into decisions.
Governed data marts give you the clean foundation ML needs to actually work.
- No AI hallucinations
- Analyst-governed definitions
- Every number traces to SQL
Frequently Asked Questions
How can I contribute or request new connectors?
Visit the OWOX Data Marts repository on GitHub. You can open an issue to request a connector, or contribute code with a pull request by following the contributing guide in the documentation.
Do open-source connectors support real-time data?
OWOX connectors load on a schedule, not in real time. You set a Connector Run trigger to run daily, weekly, monthly or on an interval, and a manual backfill loads a custom date range once.
Can I use these connectors without coding skills?
Yes. Connecting a source in OWOX Data Marts is point and click: you choose the connector, sign in or add credentials, pick the fields and set a schedule. Coding is only needed if you want to change a connector’s code or build a new one.
Why choose open-source connectors over commercial ones?
Open-source connectors provide full control, zero license fees, and flexible customization options. They remove vendor lock-in and allow teams to adapt integrations to their exact data and reporting needs.
What exactly is a data connector?
A data connector links one system to another, enabling data to flow between tools such as ad platforms, CRMs, warehouses, and dashboards for reporting, analysis, or automation.
