Sequin.io

In today's data-driven landscape, effectively managing and integrating disparate data sources is crucial for building robust applications. While numerous tools exist for API integration, many fall short in handling complex data operations or require significant customization. Sequin.io offers a compelling alternative by abstracting away much of the API complexity while providing the powerful querying capabilities of a real Postgres database. Through its innovative use of Postgres Proxy and sophisticated event processing, the platform enables rapid development and reliable data synchronization across multiple systems. This technical overview examines how Sequin achieves these goals, from managing authentication and rate limiting to providing advanced database features and comprehensive monitoring capabilities.

Overview of Sequin.io's Integration Technology

Sequin.io revolutionizes data integration by combining real-time synchronization with database-level operations, all while operating independently of the API's expressiveness limitations. Unlike traditional solutions that face challenges with rate limits, refresh tokens, and bespoke query parameters, Sequin handles these issues through its sophisticated technical architecture.

At its core, Sequin employs a real Postgres database to manage integration, providing a robust foundation for complex data operations while maintaining compatibility with both self-hosted and Sequin-hosted configurations. This infrastructure enables advanced features such as full table synchronization, selective column mapping, and seamless integration with Hasura and Prisma platforms.

The platform's technical approach stands out through several key mechanisms. Postgres Proxy acts as a critical component, intercepting SQL queries to ensure changes propagate simultaneously to both the API and database, maintaining the integrity of the API as the source of truth. Token management capabilities automate handling of OAuth, refresh tokens, and expiration, allowing developers to focus on their applications rather than authentication details.

Sequin's integration process follows a logical sequence of steps to establish and maintain data synchronization. After selecting specific collections for integration through intuitive data mapping, the platform's real-time sync process begins, ensuring that changes propagate to the database within seconds. This mechanism supports both backfills of historical data and continuous change propagation, with comprehensive monitoring and debugging capabilities that automatically detect and address streaming API issues.

This technical foundation enables Sequin to deliver significant advantages to its users. By abstracting away many of the complexities inherent in working with HTTP APIs, the platform allows developers to perform powerful SQL queries across multiple datasets in a single operation. The result is not only faster development cycles but also enhanced data integrity through built-in validation mechanisms that prevent business logic breaches while maintaining the flexibility of SQL-based operations.

The company's approach to integration extends beyond salesforce.contacts to support a wide range of use cases, including Stripe customers, public users, and custom collections. Through its flexible event subscription model, users can consume change notifications via Kafka, REST, or webhook, while the platform's advanced query capabilities enable sophisticated data transformations and cross-schema operations. These features combined create a powerful toolkit for developers building applications that require robust, reliable data integration between modern databases and external systems.

Core Features and Database Integration

Sequin.io provides a comprehensive solution for integrating various data sources with Postgres databases. The platform abstracts developers from the complexities of HTTP APIs, including rate limits, refresh tokens, and bespoke query parameters, enabling them to work with the full power of SQL and Postgres features.

Database Integration and Features

Sequin uses a real Postgres database for integration, which means it works independently of the API's expressiveness limitations. This architecture allows developers to maintain complete access to the underlying data while maintaining the API as the source of truth. Key features include:

• Event Capture: Sequin captures all insert, update, and delete events in a hosted Kafka cluster, providing multiple consumption options through Kafka, REST, or webhooks.

• Postgres Proxy: This component intercepts SQL queries, applying changes simultaneously to both the API and database. It ensures that the API remains the source of truth while maintaining synchronization between the API and database changes.

• Schema Management: Users can map API collections to database tables, supporting both full table synchronization and selective column mapping. The platform handles new table and column additions with minimal configuration.

• Deployment Options: Sequin offers both self-hosted and Sequin-hosted deployment options, working with any Postgres database across multiple cloud providers including AWS, Google Cloud, and Azure.

Functional Capabilities

Sequin supports standard Postgres functionality, including:

• CREATE views

• Generated columns

• Triggers

• Extension management

• Custom function writing

All validation flows through the data source to prevent business logic breaches. The platform supports up to 98,000 requests per day, with a maximum lag time of 3 seconds between API and database changes.

Development and Performance

Queries execute approximately 100 times faster than direct API calls, with performance optimized through indexing capabilities. The platform returns errors in standard Postgres format, providing clearer error messages compared to cryptic API responses.

The company's technical architecture enables developers to build high-performance integrations quickly and efficiently, as demonstrated by its successful implementation with engineering teams at organizations including BloomTech, Supabase, Hearst, and Outlier.

Usage and Development Benefits

This technical architecture enables developers to build high-performance integrations quickly and efficiently, as demonstrated by its successful implementation with engineering teams at organizations including BloomTech, Supabase, Hearst, and Outlier. The platform's approach to query performance is particularly noteworthy, executing SQL commands approximately 100 times faster than direct API calls. This enhanced speed is due in large part to the platform's indexing capabilities, which optimize query processing.

From a development perspective, Sequin significantly reduces the time required to implement integrations, enabling teams to achieve production-ready integration on day one. The company claims to have helped engineering teams at organizations including Audience Republic, Draft.dev, Drapo, Flinkit.de, Lab-Box, Prophero, Trellis.law, and Meter achieve their integration goals more efficiently.

The platform's technical foundation supports a wide range of database operations while maintaining strong data validation practices. Sequin handles all validation flows through the data source, preventing developers from introducing business logic errors. The system returns PostgreSQL-style errors when encountering malformed data or missing required fields, providing clear feedback to help maintain data integrity.

Performance is a key strength of the platform, with each database supporting up to 98,000 requests per day and maintaining a maximum lag time of just 3 seconds between API and database changes. These capabilities are supported by advanced features like dynamic API call queuing and built-in rate limiting, which prevent API quota issues without requiring manual intervention from developers.

Sequin's approach to integration extends beyond its technical capabilities to support a wide range of use cases. The platform seamlessly combines data from multiple sources, including Stripe customers, public users, and custom collections, into a unified schema. This unified approach enables sophisticated data operations like JOIN queries across multiple datasets in a single operation, dramatically reducing the complexity of working with distributed systems.

Specific Integration Examples

Real-time Sync between Salesforce and Postgres

Sequin.io enables seamless integration between Salesforce and Postgres databases through bidirectional, real-time synchronization. The platform allows developers to select specific objects and fields for integration, managing operations including INSERT, UPDATE, and DELETE while handling Salesforce validation errors in-line. The system supports standard SQL queries and maintains a maximum 3-second latency between API and database changes.

The technical implementation relies on Sequin's Postgres Proxy component, which intercepts SQL queries to apply changes simultaneously to both the API and database. This architecture ensures high availability and no rate limit issues, with dynamic API call queuing and built-in rate limiting preventing quota problems. The platform efficiently handles up to 98,000 requests per day across all supported cloud providers, including AWS, Google Cloud, Azure, and Digital Ocean.

Connection to Salesforce instances occurs through standard SOQL, SOAP, and APEX API protocols, supporting all standard and custom objects including formulas and roll-up fields. Users can initiate the integration process by selecting their Salesforce instance and completing authentication, followed by choosing specific data collections to sync. The platform automatically manages schema deployment, allowing users to start working with their data in a Sequin-hosted Postgres environment before moving to a self-hosted production database if needed.

Cross-schema Data Integration

The platform enables sophisticated data operations through its support for JOIN queries across multiple datasets. As demonstrated in test cases, users can seamlessly combine inventory data with other database tables for comprehensive business insights. For example, a single SQL query can join salesforce.contacts with airtable.product_inventory to retrieve product information linked to specific users or accounts.

Sequin's integration approach ensures complete data consistency through validation processes that run at both the API and database levels. When attempting to insert malformed data or delete required records, the platform returns detailed Postgres error messages to guide developers in correcting their data models or query parameters. The system automatically handles all validation logic, preventing common business rule violations while maintaining the flexibility of SQL-based operations.

The platform's monitoring capabilities provide comprehensive visibility into system performance. Every read and write request is logged and graphed through built-in monitoring tools, with automatic alerts triggered for any failed API changes. This comprehensive observability ensures that users remain informed about system health and can quickly address any issues that arise.

Pricing and Deployment Options

This pricing structure operates on a simple usage model where each row updated through synchronization counts as one monthly active row (MAR). The backfill process to synchronize existing data doesn't affect MAR calculations, helping users understand their costs based on current synchronization needs rather than historical data volume.

Users have two primary deployment options: Sequin-hosted and self-hosted. The Sequin-hosted modelprovides a comprehensive solution managed by the company, while the self-hosted option allows organizations to provision their own AWS RDS instances. This flexibility supports integration with existing Postgres databases across multiple cloud providers, including AWS, Google Cloud, Azure, and Digital Ocean, while also offering tunneling capabilities for databases in private VPCs.

The technical architecture enables high performance through optimized query processing and indexing. Each database supports up to 98,000 requests per day, and the system maintains a maximum lag time of just 3 seconds between API and database changes. This performance is enhanced by features like dynamic API call queuing and built-in rate limiting, preventing quota issues without requiring manual intervention from users.

Sequin offers annual pricing discounts via email contact with founders@sequin.io, providing upfront transparency with monthly billing based on previous month's usage. Current month's usage is tracked through the platform's console, allowing users to monitor their data volume and costs in real-time.