5️⃣
Cinchy Platform Documentation
Cinchy v5.8
Cinchy v5.8
  • Data Collaboration Overview
  • Release notes
    • Release notes
      • 5.9 release notes
      • 5.8 Release Notes
      • 5.7 Release Notes
      • 5.6 Release Notes
      • 5.5 Release Notes
      • 5.4 Release Notes
      • 5.3 Release Notes
      • 5.2 Release Notes
      • 5.1 Release Notes
      • 5.0 Release Notes
  • Support
  • Glossary
  • FAQ
  • Deployment guide
    • Deploying Cinchy
      • Plan your deployment
        • Deployment architecture
          • Kubernetes architecture
          • IIS architecture
        • Deployment prerequisites
          • Single Sign-On (SSO) integration
            • Enable TLS 1.2
            • Configure ADFS
            • AD Group Integration
      • Kubernetes
        • Disable your Kubernetes applications
        • Change your file storage configuration
        • Configure AWS IAM for Connections
        • Use Self-Signed SSL Certs (Kubernetes)
        • Deploy the CLI (Kubernetes)
      • IIS
  • Upgrade guide
    • Upgrade Cinchy
      • Cinchy Upgrade Utility
      • Kubernetes upgrades
        • v5.1 (Kubernetes)
        • v5.2 (Kubernetes)
        • v5.3 (Kubernetes)
        • v5.4 (Kubernetes)
        • v5.5 (Kubernetes)
        • v5.6 (Kubernetes)
        • v5.7 (Kubernetes)
        • v5.8 (Kubernetes)
        • Upgrade AWS EKS Kubernetes version
        • Update the Kubernetes Image Registry
        • Upgrade Azure Kubernetes Service (AKS)
      • IIS upgrades
        • v4.21 (IIS)
        • v4.x to v5.x (IIS)
        • v5.1 (IIS)
        • v5.2 (IIS)
        • v5.3 (IIS)
        • v5.4 (IIS)
        • v5.5 (IIS)
        • v5.6 (IIS)
        • v5.7 (IIS)
        • v5.8 (IIS)
      • Upgrading from v4 to v5
  • Guides for using Cinchy
    • User Guide
      • Data Browser overview
      • The Admin panel
      • User preferences
        • Personal access tokens
      • Table features
      • Data management
      • Queries
      • Version management
        • Versioning best practices
      • Commentary
    • Builder Guide
      • Best practices
      • Create tables
        • Attach files
        • Columns
        • Data controls
          • Data entitlements
          • Data erasure
          • Data compression
        • Formatting rules
        • Indexing & partitioning
        • Linking data
        • Table and column GUIDs
        • System tables
      • Delete tables
        • Restore tables, columns, and rows
      • Saved queries
      • CinchyDXD
        • Overview
        • DXD workflow
        • Package the data experience
        • Install the data experience
        • Release package
        • Changelog
        • References
          • Cinchy DXD CLI reference
          • Data Experience Definitions table
          • Data Experience Reference table
      • Multilingual support
      • Integration guides
    • Administrator Guide
    • Additional guides
      • Monitor and Log on Kubernetes
        • Grafana
        • OpenSearch dashboards
          • Set up Alerts
        • Monitor via ArgoCD
      • Maintenance
      • Cinchy Secrets Manager
      • GraphQL (Beta)
      • System properties
      • Enable Data At Rest Encryption (DARE)
      • Application experiences
        • Network map
          • Custom node results
          • Custom results in the Network Map
        • Set up experiences
  • API Guide
    • API overview
      • API authentication
      • API saved queries
      • ExecuteCQL
      • Webhook ingestion
  • CQL
    • Overview
      • CQL examples
      • CQL statements overview
        • Cinchy DML statements
        • Cinchy DDL statements
      • Cinchy supported functions
        • Cinchy functions
        • Cinchy system values
        • Cinchy User Defined Functions (UDFs)
          • Table-valued functions
          • Scalar-valued functions
        • Conversion functions
        • Date and Time types and functions
          • Return System Date and Time values
          • Return Date and Time parts
          • Return Date and Time values from their parts
          • Return Date and Time difference values
          • Modify Date and Time values
          • Validate Date and Time values
        • Logical functions
        • Math functions
        • String functions
        • Geometry and Geography data type and functions
          • OGC methods on Geometry & Geography instances
          • Extended methods on Geometry & Geography instances
        • Full Text Search functions
        • Connections functions
        • JSON functions
    • CQL functions reference list
  • Meta-Forms
    • Introduction
    • Install Meta-Forms
      • Deploy Meta-Forms (Kubernetes)
      • Deploy Meta-Forms (IIS)
    • Forms data types
    • Meta-Forms Builder Guide
      • Create a dynamic meta-form with tables
      • Create a dynamic meta-form example with Form Designer
      • Add links to a form
      • Rich text editing in forms
  • Data syncs
    • Get started with data syncs
    • IIS installation
      • Install Connections
      • Install the Worker/Listener
      • Install the Connections CLI
    • Build data syncs
      • Data sync types
      • Design patterns
      • Sync actions
      • Columns and mappings
        • Calculated column examples
      • Advanced settings
        • Filters
        • Variables
        • Auth requests
        • Request headers
        • Post sync scripts
        • Pagination
      • Batch data sync example
      • Real-time sync example
      • Schedule a data sync
      • Connection functions
    • Data sync sources
      • Cinchy Event Broker/CDC
        • Cinchy Event Broker/CDC XML config example
      • Cinchy Table
        • Cinchy Table XML config example
      • Cinchy Query
        • Cinchy Query XML config example
      • Copper
      • DB2 (query and table)
      • Dynamics 2015
      • Dynamics
      • DynamoDB
      • File-based sources
        • Binary file
        • Delimited file
        • Excel
        • Fixed width file
        • Parquet
      • Kafka Topic
        • Kafka Topic example config
        • Apache AVRO data format
      • LDAP
      • MongoDB collection
        • MongoDB collection source example
      • Mongo event
      • MongoDB collection (Cinchy event)
      • MS SQL Server (query and table)
      • ODBC Query
      • Oracle (query and table)
      • Polling event
        • Polling event example config
      • REST API
      • REST API (Cinchy event)
      • SAP SuccessFactors
      • Salesforce Object (Bulk API)
      • Salesforce platform event
      • Salesforce push topic
      • Snowflake
        • Snowflake source example config
      • SOAP 1.2 web service
      • SOAP 1.2 web service (Cinchy Event Triggered)
    • Data sync destinations
      • Cinchy Table
      • DB2 table
      • Dynamics
      • Kafka Topic
      • MongoDB collection
      • MS SQL Server table
      • Oracle table
      • REST API
      • Salesforce
      • Snowflake table
      • SOAP 1.2 web service
    • Real-time sync stream sources
      • The Listener Config table
      • Cinchy Event Broker/CDC
      • Data Polling
      • Kafka Topic
      • MongoDB
      • Salesforce Push Topic
      • Salesforce Platform Event
    • CLI commands list
    • Troubleshooting
  • Other Resources
    • Angular SDK
    • JavaScript SQK
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On this page
  • Data version management
  • Schema version management
  • Create data packages
  1. Guides for using Cinchy
  2. User Guide

Version management

This page details how Cinchy approaches Version Management within the platform.

PreviousQueriesNextVersioning best practices

Last updated 1 year ago

Data version management

Cinchy natively and automatically manages data versioning in the platform through the ‘always-on’ version tracking, collaboration logging, and recycle bin features (data restore).

Cinchy maintains a version history of all changes to every data element stored in Cinchy. You can query the version history in Cinchy to speed up analysis, and can also be viewed through the , which tracks changes made by users, systems, or external applications (Image 1). When required, you can easily revert data to previous states using the or the Revert button.

Schema version management

This section refers to data schemas/models, not data values themselves.

Your schema/data model version can also be managed when you are using multiple environments. For example, if you have a DEV environment and make a change to a table design (ex: changing a column name), you can export and deploy your data model to a PROD environment and Cinchy will intelligently consolidate and merge the schema changes to adhere to the latest version.

This functionality is achieved through the use and synchronization of GUIDs. Each data element in Cinchy (table, column, etc.) will have a matching GUID, which stays consistent even across multiple environments. That means that changes made in your source environment will automatically and accurately be applied once promoted to your higher environment.

A GUID _(globally unique identifier)_** is a 128-bit text string that represents an identification (ID).**

You can find the GUID for your object by navigating to the applicable System Table. Ex: Column GUIDs can be found in the Columns table (Image 4).

Create data packages

While you are able to manually export/import data models across environments, you may want to package up multiple objects (tables, queries, reference data, etc.) and push that all together between environments. This method still adheres to schema version control and management.

To export a table (like your data model), navigate to the Design Table > Export button (Image 2). You can then import your data model into any other environment using the (Image 3).

This can be accomplished using the Cinchy DXD Utility, which you can learn more about by .

model loader
reviewing the documentation here
Recycle Bin
Image 1: The Collaboration Log
Image 2: Exporting a data model
Image 3: Importing a data model
Image 4: GUIDs
Collaboration Log