Hevo Edge

Hevo Edge is a separate Pipeline offering focused on reliability, performance, observability, and cost efficiency. It includes an enhanced CDC connector for faster, more reliable data capture, Pipeline-level controls for error and schema handling, detailed job execution insights with object-level latency tracking, and up to 4X faster historical loads with 10X faster incremental runs - all while keeping Destination costs predictable.

Explore Hevo Edge

• Getting StartedIf you're new to Hevo Pipelines and don't know where to start, this is a good place.
  • Familiarizing with the UI
  • Upgrading Pipeline from Standard to Edge
• Data IngestionLearn how to customize the ingestion of data for a variety of Sources, data types, and ingestion frequencies.
  • Types of Data Synchronization
  • Sync Frequency
    • Sync Frequency and Jobs
  • Rate Limit Exceptions
    • Handling Rate Limit Exceptions
    • Best Practices to Avoid Reaching Source API Rate Limits
  • Hevo-generated Metadata
  • History Mode
• Core ConceptsLearn about the underlying functionality and features of your Pipelines.
  • Events
  • Objects
  • Data Replication
• PipelinesLearn how to set up the data replication and error handling options for your Pipelines.
  • Familiarizing with the Pipelines UI
  • Creating an Edge Pipeline
  • Working with Edge Pipelines
    • Editing Edge Pipelines
    • Orchestrating Pipelines with External Tools
    • On-Demand Syncing Data in Edge Pipelines
    • Activating Edge Pipelines
    • Modifying the Source and Destination Configuration
    • Deleting Edge Pipelines
  • Pipeline Job History
    • Job Types
    • Job and Object Statuses
    • Viewing Pipeline Job Details
    • Offset and Latency of Jobs and Objects
    • Canceling Jobs
    • Downloading Session Logs
  • Object and Schema Management
    • Familiarizing with the Object Configuration UI
    • Managing Objects in Pipelines
    • Pipeline Schema Management
  • Activity Log
• SourcesLearn how to configure your data Source in a Hevo Pipeline.
• DestinationsLearn how to configure a database or data warehouse as a Destination for a Hevo Pipeline.
  • Familiarizing with the Destinations UI
  • Naming Conventions for Destination Data Entities
  • Amazon Redshift
    • Troubleshooting Amazon Redshift Destination
  • Amazon Redshift Serverless
  • Google BigQuery
    • Authentication for GCP-hosted Services
    • Supporting Partitioned Tables in BigQuery
  • Snowflake
    • Troubleshooting Snowflake
  • Working with Destinations
    • Deleting Destinations
• TransformationsWrite, run, and monitor dbt models against your Destination data.
  • Understanding Transformations
    • Familiarizing with the Transformations UI
    • Creating your First Transformation Project
  • Working with Environments
    • Managing Environments
  • Working with Jobs
    • Creating a Continuous Integration (CI) Job
    • Creating a Merge Job
    • Creating a Deploy Job
    • Managing Jobs
  • Managing Transformation Projects
  • Managing GitHub Accounts
  • Monitoring and Managing Runs
• AlertsGet visibility into the different stages of data replication and Transformation job runs.
  • Working with Alerts
    • Managing Alert Recipients
    • Subscribing to Alerts
    • Editing Alert Preferences
• Custom ConnectorsBuild custom connectors for proprietary or unsupported data Sources using Hevo's Java-based SDK.
  • Creating your First Connector
    • Creating the UI Components
    • Creating the Connection Logic
  • Testing your Custom Connector
• ReleasesRead about the new features, enhancements, and fixes in each Edge release.