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
  • Cinchy Builders
  • What Builders do
  • Connect
  • Protect
  • Collaborate
  • Build
  1. Guides for using Cinchy

Builder Guide

This page gives an overview on Cinchy Builders

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Last updated 1 year ago

Cinchy Builders

Cinchy Builders use the Cinchy platform to build an unlimited number of business capabilities and use-cases.

The “Cinchy Builder” has access to perform the following capabilities:

  • Change Table Schema (use Cinchy’s “Design Table” functionality)

  • Grant access (use Cinchy’s “Design Controls” functionality)

  • Edit Cinchy Data in Cinchy System Tables

  • Create, Save, and Share Cinchy Queries

  • Perform Cinchy Queries on the Cinchy data network

  • Import/export packaged business capabilities (like deployment packages)

  • Build Cinchy Experiences

  • Perform integration with Cinchy (such as Cinchy Command Line Interface [CLI] operations)

  • Create and Deliver an unlimited number of Customer Use Cases within Cinchy

  • A builder can be part of the

The End-Users of the Cinchy platform are those that use the functionalities created by the “Cinchy Builders” to their business objectives.

All Builders are also End-Users, but not all End-Users are Builders.

of the Cinchy Platform can:

  • Use Tables, Saved Queries, and Experiences created by “Builders”

What Builders do

Builders can leverage Cinchy as one platform to simplify solutions delivery as they:

  1. Connect

  2. Protect

  3. Collaborate

  4. Build

  5. Reuse

Connect

Create your new network of data

Data collaboration eliminates point-to-point integration, reducing cost and complexity (including real-time, batch, on-prem, cloud, legacy, and SaaS services) and allowing custom data-sync configurations. This drives faster time to market, lower costs and improved usability.

Connect data to make silos and integration obsolete

When you connect a new data source to your data network, you can use it with data from any other source on the network with no further integration efforts. The more sources you connect, the more powerful and efficient it becomes. You can extend data on the network with attributes and entirely new entities, including calculated data, derived data, AI models, and user-managed data.

Protect

Manage and protect data down to the individual cell

Data on Cinchy is protected by cellular-level access controls, data-driven entitlements, and superior data governance. This includes meta architecture, versioning, and write-specific business functions that restrict user views, such as a managed hierarchy. Owner-defined permissions are universally enforced, significantly reducing the effort of managing them at the enterprise level. You can use existing Active Directory and SSO access policies to set controls for an individual user, external system, or user-defined functions (such as approving updates row by row or using bulk approvals).

Collaborate

Track version history for full lifecycle of data

All data is automatically version-controlled and can be reverted to previous states. You can see changes made by users, systems, or external applications through Data Synchronization or by using a Collaboration Log.

View and manage data through a single UI

Use the universal Data Browser to view, change, analyze, and otherwise interact with ALL data on the Fabric. Non-technical business users can manage and update data, build models, and set controls, all through an easy and intuitive UI.

Build

Create and share queries

Consolidate legacy systems, create new solutions

By decoupling the data from the application, our Autonomous Data Network lets you consolidate legacy applications to increase operational agility and reduce overhead. You can create enterprise-grade solutions using the Application SDK as quickly as you would build Excel-based solutions and without the operational risk. Application SDK (React Native, Angular, and REST SDKs) lets you build custom applications for end users.

Add third-party visualization tools

For even more flexibility, connect your Data Network to third-party Data Visualization tools. You’ll be able to run cross-queries against all data on the Fabric while maintaining universal access policies for users, systems, and external applications.

Re-use

The more you use data collaboration, the more it’s capable of doing.

Any new data you add to the network will work in conjunction with any previously existing data instantly. This means you can re-use data in new ways, with no time-consuming integration efforts. Teams can collaborate directly in real-time, allowing it to act as a central data hub while simplifying integration. Unlike traditional data architecture projects, which grow more complicated as they involve more data sources, data collaboration delivers solutions faster and faster as more data is added to it.

Cinchy’s data collaboration platform features an intuitive Drag and Drop Query Builder that allows Builders to create using the Cinchy Query Language (), a proprietary language specific to Cinchy. All queries can be saved and shared, and query results automatically generate a full no-code API.

Administrators group
“End-Users”
CQL