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Connection credits are Makini's billing unit. Each system integration consumes a specific number of credits based on complexity. Systems are divided into three tiers: Tier 1 (simple systems like cloud CMMS), Tier 2 (mid-complexity ERP systems), and Tier 3 (complex systems like SAP). On-premises installations require double the credits of their cloud equivalents. For example, a cloud SAP S4/HANA connection might use 4 credits, while an on-premises SAP ECC installation uses 8 credits. Connection credits are consumed when you establish a connection and are returned to your pool when you disconnect. This allows flexible allocation across customers—you're not locked into specific connections.
The initial sync occurs when you first connect a system and retrieves historical data to establish a baseline. This includes records from a configurable time period (typically 30-90 days) and can take several minutes to hours depending on data volume. Initial syncs are complete snapshots of the requested data. Incremental syncs occur on subsequent runs and retrieve only records created or modified since the last successful sync. Makini tracks sync timestamps and uses them to query for changes efficiently. Incremental syncs are much faster, usually completing in seconds to minutes. This approach minimizes API load on source systems while keeping your data current.
Makini implements automatic retry logic for failed webhook deliveries. If your endpoint is unavailable or returns an error status code, we retry delivery with exponentially increasing intervals starting at 30 seconds. Retries continue for up to 24 hours. If delivery ultimately fails, the webhook is logged but not delivered. You can view failed webhooks in the Makini dashboard and manually retry them. To prevent webhook loss during extended downtime, implement a polling backup strategy—periodically check the sync status and query for recent changes if no webhooks have been received within the expected time window. Design your webhook receiver to be idempotent, as retry logic may result in duplicate deliveries.
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.
