Libraries tagged by data sync

Sync Data With Application

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Synchronizing data between Laravel's framework

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A modern Laravel 12+ RBAC package with data permissions and auto-sync features.

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Library allowing the management of embarked metadatas on diverse types of files, to manage the import of metadatas in an information system and the synchronization of the data between the information system and files with exiftool.

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Assigning members to users for synchronizing common account data.

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WooCommerce HPOS data integrity toolkit. Audit orders, subscriptions, and customer data after High-Performance Order Storage migration. Detect orphaned records, zero-value fields, and sync mismatches. Zero dependencies.

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Advanced validation library with multiple API styles including JSON templates, inline rules, builder pattern, and functional composition. Features 50+ built-in validators, dot notation for nested objects, field reference resolution, and internationalization support. Zero dependencies, fully synchronous, and designed for maximum developer experience with extensible custom rule system.

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A production-grade, asynchronous migration tool for HashtagCMS to migrate data, media, and templates between installations.

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sync*gw ICS (Bulk Data Transfer Protocol) bundle.

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Real-Time Data Sync – Seamlessly sync customers, companies, orders, and products between Magento 2 and HubSpot. Bi-Directional Integration – Keep both platforms aligned with automatic updates in both directions. Advanced Automation Triggers – Leverage Magento data to trigger HubSpot workflows, segmentation, and campaigns. Revenue & Customer Insights – Push order and lifecycle data into HubSpot for deeper marketing and sales intelligence.

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Salesforce adapter for the Pipetic platform. Provides OAuth 2.0 authentication and ETL data sync for multi-tenant SaaS applications.

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Craft CMS AI-powered chat widget and data sync connector for Angie Chat SaaS

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Library providing connection and data synchronization with datadepo.cz service

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Based on the lexical analysis of "update," "select," "insert," and "delete" SQL statements, an automatic caching strategy is implemented. The strategy involves caching the data when executing a select operation and associating the table name contained in the SQL statement with the corresponding cached records. When executing update, insert, or delete operations, the table name from the SQL statement is extracted, and any cached records containing this table name from previous select operations are deleted. This strategy enables seamless caching without delay and eliminates the need to worry about data synchronization issues. It is particularly effective for tables with infrequent data modifications. For tables with frequent modifications, they can be ignored by configuring the strategy accordingly.

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The Boxalino Client SDK provides a simple and efficient usage of Boxalino Search & Recommendations services (based on the p13n Thrift client libraries as separately provided in respective git-hub repositories) and to Boxalino Data Intelligence especially for Data Synchronization (define the structure of your data, push and publish your data structure configuration, push data in dev/prod and full/delta to Boxalino).

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