Powerful, end-to-end, data replication and synchronization system offering unmatched enterprise-scale capabilities
Whether you are a solution provider or a corporate IT department replicating and synchronizing thousands or billions of data records, the appRules Data Replication & Synchronization Engine which is powered by the appRules Platform is the no-code system to successfully get the job done on time and on budget.
Award-Winning Features Checklist
The Most Configurable System for Data Replication and Synchronization
Featuring Conditions Matrix, Actions Matrix and Workflow Activities
appRules Data Replication & Synchronization Engine is the new benchmark for delivering powerful enterprise-scale, mission-critical replication and synchronization solutions in an easy-to-use and fully configurable designer. In appRules, no matter the requirement, there are configurations for it.
appRules is the fastest to setup, fastest to configure, and the fastest to ROI!
Powerful and Extensive Connector Suite
Unlike competing platforms that offer only API-interface connectors, appRules Connectors are powerful full-fledged sub-systems offering superior no-code functionality:
Replicate and Synchronize data from and to hundreds of data sources including Databricks, Google, Microsoft Dynamics 365, Oracle, Redshift, Salesforce, SAP, SharePoint, Snowflake and more, using powerful appRules connectors.
appRules connectors are engineered using drivers from CData – the leading source for certified connectivity libraries.
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The Replicate & Synchronize Data Workflow Activity
The powerful and self-contained Replicate & Synchronize Data workflow activity offers advanced functionality for performing no-code data replication and data synchronization. The Replicate & Synchronize Data workflow activity is the workhorse of the appRules Data Replication & Synchronization Engine featuring:
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Groundbreaking, On-Demand, High Performance Features
appRules employs an innovative architecture to deliver blazing fast job execution,
lookups, merges, logging, scalability, and high availability:
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On Demand Caching
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Source and Target Workers
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Multi-threaded
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Parallel Processing
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Field Mapping and Transformation
Map and transform Source data fields and other values to Targets using the “Map Record Fields” activity. Transformations are performed by simply configuring Action Fields.
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Job Scheduler, Job Monitor & Notifications
You can run your data migration, replication and synchronization jobs directly, schedule them to run at specific times, or run them via the appRules Web API.
Use the appRules Job Monitor to monitor, pause, or terminate running jobs.
The appRules Project Settings include several options for managing jobs including support for long-running jobs, notifications, etc.
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Project Run Details, Data Source Browser, Audit Logs & Statistics
appRules includes several facilities that give you insight into running and completed jobs including:
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Project Run Details
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Data Source Browser
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Audit Logs
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Statistics
Even in heavily validated organizations, the appRules Data Replication & Synchronization Engine’s extended logs and statistics provide the required reconciliation for all data replication and synchronization jobs.
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Data Warehouses & Data Lakes
Use the appRules Data Replication & Synchronization Engine to replicate and synchronize data with popular data warehouse and data lake platforms including:
Azure Data Lake Storage
Azure Synapse
Databricks
Google BigQuery
Redshift
Snowflake
On-Premise, Cloud & Desktop
Deploy the appRules Data Replication & Synchronization Engine on Amazon AWS, Microsoft Azure, Virtual Machines, Local Servers, Embedded Servers, and even the Desktop.
Product Editions & Pricing
The appRules Data Replication & Synchronization Engine is available in product editions to suit small, medium and large organizations. Subscription billing and payment options are structured to accommodate your corporate and departmental requirements.
View the appRules Data Migration Engine’s product editions and pricing
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