Stop disqualifying prospects based on the tools they use. By offering no-code connectors to more tools, you can increase your addressable market and provide clients with seamless onboarding functionality regardless of their tech stack
If your solution doesn't integrate with the tools your prospects request, it introduces friction, cost, and more stakeholders to your prospect's plate. With Portable, you can close deals faster with no-code connectors to the systems they need. Spend less on sales and invest more in customer success
The perfect time to gather referrals, case studies, and to expand client contracts is after a seamless implementation. But, when you ask clients to export data from other tools and load it into your platform, it causes pain, not happiness. Create remarkable first impressions with no-code implementations
Your product and engineering team wants to build integrations, and you should. But do you know which integrations will be most valuable, most strategic, or most used? With Portable, you'll have perfect insight into which integrations are actually important before writing your first line of code
In addition to our unparalleled catalog of prebuilt connectors, we'll work with you to identify and then build the connectors your clients need. We've been in your shoes, and we know that each business has it's own ecosystem of partners. We'll do the development work, so you can sell your product
Stop writing scripts, stop cleaning data, and start focusing on building core product. Portable extracts, schematizes, and loads the data, so you can focus on creating value for clients.
Portable offers the largest selection of embedded ETL connectors on the market. This includes cloud-based e-commerce data connectors (Gorgias, Shippo, etc.), customer data tools (HubSpot, Pipedrive), HR solutions (Greenhouse, Pingboard, Lattice), email service providers (Klaviyo, Mailchimp, Omnisend), and ticketing platforms (Zendesk, Zoho Desk). Regardless of the software vendors you want to integrate with, don't hesitate to get in touch!
When building data products, it’s common to power either 1) business intelligence use cases (i.e. building dashboards or visualizations that companies find valuable on top of their data), or 2) workflow automation use cases (i.e. building recipes that multiple companies can use to streamline manual workflows). In either scenario, you can combine raw data flows with SQL data transformation and a graphical interface to build a product clients will pay for.
Both Fivetran and Portable offer no code ETL / ELT connectors that help product teams centralize data for clients. While Fivetran’s product involves white-labeled connect cards, Portable’s embedded offering aligns more with a reseller model. In either scenario, end-users are provided a simple no-code user experience to onboard data.
The biggest difference between the two offerings is the connectors that are supported within our platforms. Fivetran connectors include the most widely used tools (Salesforce, Google Analytics, PostgreSQL, etc.) whereas Portable focuses on the long-tail of business applications (niche marketing tools, e-commerce tools, etc.).
Portable’s embedded template library falls within our custom pricing tier. Whether you are a data-driven startup, a Fortune 500 company, or a consulting firm helping clients get set up with their Modern Data Stack, feel free to get in touch to learn more. Our co-founders have been in your shoes - trying to find an embedded integrations solution, and we’re excited to find a way to work together.
Building and maintaining data integrations is time consuming and complicated. When data engineering teams build integrations in-house to connect to data sources, it’s common to start with 1) an open-source framework, 2) a version controlled repository (i.e. GitHub) and 3) infrastructure within which the team can deploy your application. Once your team has a starting point, the next step is to develop algorithms that pull data from data sources (SaaS applications like Salesforce, databases, or real-time data sources like Kafka) - Python is a common programming language used for building ETL workflows. From there, optimization and maintenance are critical - whether it’s optimizing compilers (compile times, etc.), handling dynamic memory allocation or efficient data storage - it’s critical to build a scalable, reliable, production-grade system.
Whether you use Google BigQuery, Amazon Redshift, Snowflake or PostgreSQL, Portable handles the entire ETL process. If you want to replicate data from a business application into your data warehouse yourself, you would need to 1) read REST API documentation (identify API endpoints, define requests, process JSON responses, etc.), 2) stand up infrastructure, 3) handle errors, 4) turn the raw data into schemas that can be loaded into your product environment, 5) expose a configurable interface to users, and 6) maintain everything.
It’s easy to request a new connector and Portable does all of the data replication work. Portable can build new integrations in hours or days, so you can start moving data quickly.