Data Modeling Hub

Define, Evolve & Govern Your Data Models Without Complexity or Downtime

Our Schema Intelligence Layer lets you build and evolve data models in real time — without migrations or downtime. Adapt structures as your ecosystem grows, maintaining a single source of truth for every entity, object, and relationship.

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Join innovative organizations using Synerise Platform

and explore hundreds of low code use cases

Why

Data Governance as a Formal Discipline

80% of data governance initiatives will fail by 2027 — primarily due to disconnect from measurable business outcomes. The organizations that formalize governance as an input to AI readiness, rather than an isolated compliance exercise, demonstrate consistently superior model performance.

80%

of governance initiatives will fail by 2027 without business alignment

Gartner, 2026

<5%

of organizations have reached optimized governance maturity

Gartner MQ, 2026

90%

of enterprise data is unstructured — requiring new governance models

Gartner, 2025

vendors evaluated in the first-ever Gartner MQ for Data Governance

Gartner MQ, 2026

3×

faster time-to-value with flexible, schema-on-read data models

Forrester, 2025

50%

of decisions will be augmented by AI agents requiring governed data

Gartner, 2025

Gartner created its first-ever Magic Quadrant for Data Governance in January 2025 — signaling the category has reached critical mass

AI governance is now an evaluation criterion: platforms must govern AI models, unstructured data, and analytics assets — not just tables

Most organizations cluster at governance maturity levels 2-3; fewer than 5% have reached optimized maturity (Gartner, 2026)

Growing volumes of customer behavioral data and AI model inputs are straining traditional governance — leaders must urgently reset operating models for AI-ready data

Policy enforcement is shifting: business roles define policies, platforms auto-enforce via data management integrations (Gartner, 2026)

What

Data Modeling Hub: Core Capabilities

Evolve data models at runtime — without migrations or downtime. A schema intelligence layer that maintains referential integrity as entity topologies grow.

Runtime Schema Evolution

Add fields, relationships, and entity types at runtime — no migration scripts, no downtime, no schema-lock complexity.

Entity Relationship Graphs

Define and query n-ary relationships between entities — customers, products, orders, and arbitrary custom object types.

Formal Data Governance

Role-based access control, immutable audit trails, and compliance enforcement at the field and entity level.

Schema Version Control

Track schema evolution over time with complete version history, diff comparison, and rollback capabilities.

API-First Design

Every data model is programmatically accessible via auto-generated REST and GraphQL APIs with typed documentation.

Catalog Management

Unified product and content catalogs with real-time synchronization, computed attributes, and hierarchical categorization.

How It Works

Four Steps to Value

From raw data to real business impact — a clear path from ingestion to activation.

Step 01

Define Schema

Create entities, relationships, and custom objects through a visual schema builder — no SQL required.

Visual entity designerRelationship mappingCustom object typesField validation rules

Step 02

Ingest & Validate

Import data through self-service pipelines with automatic validation, mapping, and error handling.

CSV / JSON importS3 / GCS / Azure BlobSchema validationError reporting

Step 03

Evolve & Version

Add fields, change types, and restructure models on the fly — zero downtime, full version history.

Hot schema evolutionVersion controlRollback capabilityChange audit trail

Step 04

Govern & Control

Enforce access policies, audit trails, and compliance rules across all data models and fields.

Role-based accessField-level permissionsAudit loggingGDPR controls

Modules

Data Architecture Modules

Six data management modules — from catalog and event schemas to expressions, aggregates, vouchers, and import/export — building the foundation for every data-driven decision.

Product Catalog12,481 items

Running Shoes Pro

Footwear · Stock: 342

$129

Trail Jacket V2

Apparel · Stock: 128

$89

Sport Watch X

Accessories · Stock: 67

$249

Fitness Band Ultra

Wearables · Stock: 215

$79

Yoga Mat Premium

Equipment · Stock: 890

$45

Catalog Management

Manage product and content catalogs with hierarchical categories, computed attributes, and real-time sync across all systems. A single source of truth for every item in your ecosystem.

Product catalogs with full attribute management and hierarchical categories

Content catalogs for articles, media, and dynamic resources

Computed catalog attributes derived from behavioral and transactional data

Real-time sync ensuring catalogs are always current across all channels

Bulk import and export with validation and transformation rules

On-Site Intervention Framework

Brickworks

A declarative, component-based system for constructing, testing, and deploying on-site behavioral interventions — from contextual overlays to full landing page compositions. Each element is bound to real-time profile state and subject to controlled experimentation.

Visual Drag-and-Drop Editor

Build on-site experiences without code using a pixel-perfect visual editor. Drag pre-built blocks onto a canvas — banners, product carousels, forms, countdown timers, and dynamic content slots — arranging them into fully responsive layouts.

Pixel-perfect canvas with snap-to-grid alignment

Pre-built block library: banners, carousels, forms, CTAs, timers, videos

Responsive breakpoints for desktop, tablet, and mobile

Undo/redo history with version snapshots

Canvas Editor

1440 × 900

DesktopTabletMobile

Hero Banner Block

Product Grid

CTA Button

Timer

+ Drop block here

Auto-saved · 3 blocks placed

Results

Data Modeling Efficiency Gains

Synerise Data Modeling Hub eliminates traditional bottlenecks in schema evolution, data governance enforcement, and entity relationship management.

Schema change deployment

Before

2–4 weeks

After

Instant

Zero wait

Migration failures

Before

15%

After

-100%

Data import speed

Before

6 hours

After

12 min

30× faster

Governance compliance

Before

Manual audit

After

Auto-enforced

Always on

API response time

Before

850ms

After

45ms

19× faster

Custom object creation

Before

Dev sprint

After

Self-service

No code

Architecture

Data Modeling Hub Architecture

A schema intelligence layer enabling runtime data model evolution, formal governance enforcement, and API-first programmatic data access with zero-downtime schema transitions.

Schema Layer

Entity Designer

Visual schema builderField types & validationRelationship mappingInheritance

API Generator

Auto REST APIGraphQL endpointsSDK generationDocumentation

Evolution Engine

Hot schema changesVersion controlRollbackImpact analysis

Data Layer

Storage Engine

Multi-model storeIndexed queriesFull-text searchGeospatial

Import/Export

CSV / JSONS3 / GCS / AzureBigQueryReal-time sync

Catalog Engine

Product catalogsContent catalogsCustom catalogsHierarchies

Governance Layer

Access Control

Role-based accessField-level permsAPI key managementSSO / SAML

Compliance

Audit loggingData retentionPII detectionGDPR controls

Monitoring

Usage analyticsQuery performanceData qualityAlert rules

Comparison

Traditional Data Management vs. Synerise Data Modeling Hub

How Synerise's schema intelligence layer compares to conventional database management approaches.

Feature

Traditional

Synerise

Schema changes

Migration scripts + downtime

Instant, zero-downtime

Data import

Developer-managed ETL

Self-service with auto-validation

API generation

Manual coding required

Auto-generated REST & GraphQL

Governance

Separate governance tools

Built-in RBAC, audit, compliance

Custom objects

Schema migrations per type

Self-service, any structure

Versioning

Git-based, manual tracking

Automatic with rollback & diff

How

36 Applied Research Scenarios

Empirically validated implementations across industries — each documenting measurable effect sizes and methodology.

Brickworks product template with AI-based similar recommendations

Medium

Create a Brickworks schema for a product template enriched with AI-driven similar item recommendations

New customersother

Brickworks loyalty template with tiered offer

Advanced

Create a Brickworks schema for an email template with tiered offer based on an expression

New customersother

Displaying a set of promotion banners powered by a Brickworks schema

Medium

A Brickworks-powered schema that returns multiple promotion banners in JSON, enabling client applications to freely design carousels or lists

New customersother

OAuth Integration via Firebase JWK Authentication

Expert

Learn how to integrate Firebase Authentication with Synerise using the JWK

Third-party integrationthird-party

Transfer loyalty points between customers

Expert

Let your customers share loyalty points with others and send a mobile push to the recipients of loyalty points

AutomationExpressionsLoyaltypush

Web push with voucher and promotion for different categories

Medium

Incorporate action buttons that redirect customers to listings of products from discounted categories

AI recommendationsAIAutomationwebpush

Event authorization in JS SDK with Flask

Expert

Example of JWT in JS SDK for event authorization

New customerswebsite

Low-stock abandoned cart campaign

Medium

Create low-stock campaign for customers with abandoned carts

Abandoned cartAggregatesAutomationemail

Personalized promotion in the mobile app with display time limitation

Medium

Create a personalized mobile promotion available to the customer within a specified time frame

LoyaltyMobilePersonalizationmobile

Browse all 337 use cases on Synerise Hub

FAQ

Frequently Asked Questions

Adjacent Research Domains

Each hub represents a distinct computational domain. Together, they compose a unified behavioral intelligence substrate.

Behavioral Data Hub

Absorb & Transform Behavioral Profiles In Real Time and at Any Scale

AI Hub

Understand, Infer & Predict Behavior With the World's Most Advanced AI Model

Automation Hub

Orchestrate Intelligence Across Systems And Act with Speed and Precision

Decision Hub

Measure, Simulate & Optimize Outcomes With Continuous, Data-Driven Intelligence

Experience Hub

Deliver Context-Aware Interactions Across Every Channel and Touchpoint

Ready to apply behavioral science to your data?

Explore how Data Modeling Hub can serve as the computational backbone for real-time behavioral intelligence in your organization.

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