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Makini is a unified API platform for industrial systems integration. We provide connectivity to over 2,000 ERP, CMMS, and WMS systems through a single, standardized API. Instead of building separate integrations for each system, you connect once to Makini and gain access to all supported platforms. This approach transforms integration projects that typically cost tens of thousands of dollars and take months into a manageable operational expense with deployment times of 1-2 weeks.
API tokens must be stored securely and should never be exposed on the client side or in public repositories. Store tokens in secure environment variables or dedicated secrets management systems like AWS Secrets Manager, HashiCorp Vault, or Azure Key Vault. Never hardcode tokens in application code or commit them to version control. Implement proper access controls so only authorized services can access stored tokens. For production environments, use separate tokens from development/testing environments. Rotate tokens periodically and immediately revoke tokens if you suspect they've been compromised. Makini tokens provide access to customer data, so treat them with the same security standards you'd apply to database credentials.
Makini provides sandbox connections for testing without affecting production systems. Sandbox connections include sample data representing common scenarios: standard purchase orders, orders with custom fields, orders in various states (draft, approved, completed), and error cases like invalid vendors or out-of-stock items. Sandbox data is read-only for safety—write operations return success responses without modifying data. This allows thorough testing of your integration logic without risk. For testing with specific systems, we recommend using dedicated test instances of the actual systems (like SAP sandbox environments) connected through Makini, which provides the most realistic testing experience.
Yes, through Makini Flows, which includes connectors for popular databases including Snowflake, PostgreSQL, MySQL, MongoDB, and others. This enables workflows that synchronize data between industrial systems and your data warehouse or analytics platforms. For example, you can sync purchase orders from SAP to Snowflake for analytics, or use database queries to drive integration logic. Database integrations use the same workflow builder as other integrations, making it easy to combine industrial system data with database operations. For direct database-to-database syncing, we can help design optimized workflows. Database connections are treated as custom integrations and may require additional workflow development.
