Gluesync Platform — Knowledge

Knowledge

Explore, query and assess enterprise data through connected capabilities for data access, quality and discovery.

Why Knowledge Matters

The cost of disconnected data understanding

01 / Fragmented channels

Siloed Data Access

Teams rely on disconnected tools to query different databases, producing inconsistent results and duplicated effort across data access workflows.

02 / System overhead

Invisible Quality Issues

Schema drift, stale metadata, and undocumented transformations erode trust in data quality, making every report a manual verification exercise.

03 / The platform outcome

Connected Knowledge

A unified platform connects querying, quality assessment, and metadata discovery — giving teams a single trusted lens across all connected sources.

Capabilities

Three capabilities within Knowledge

Querying, Quality and Discovery work together to explore, validate and map enterprise data — providing full operational intelligence across connected sources.

Multi-source querying

Querying

Unified data access and cross-database querying

Access and query data across heterogeneous databases through a single unified interface. Leverage built-in tools, federated execution, and standard connectivity protocols.

  • Built-in query studio
  • Federated queries
  • Unified JDBC gateway
  • Cross-site support

View Querying docs ↗

Federated Query Orchestration

Query across relational, legacy, and NoSQL environments from a single developer workspace. Let Gluesync resolve schemas and fetch results transparently.

Federated query from PostgreSQL, Oracle, MongoDB and MySQL

Data quality & reconciliation

Quality

Automated data validation and consistency checks

Ensure data integrity across your pipelines with built-in comparison, coherence validation, and audit capabilities — catching issues before they reach production.

  • Compare & fix
  • Coherence checks
  • Audit

View Quality docs ↗

Automated Quality Compare & Heal

Continuously audits target data mirrors against production source transactions. Instantly flags structural mismatches, schema drifts, and out-of-sync records, applying automated healing policies in real time.

Source MySQL versus target Snowflake live compare with mismatch and heal

Metadata & lineage

Discovery

Metadata exploration and data lineage tracking

Understand what data exists, how it is structured, and where it flows. Surface metadata relationships, trace lineage across sources, and expose REST APIs directly from your data models.

  • Metadata discovery
  • Lineage
  • Rest APIs from data models

View Discovery docs ↗

Automated Discovery & Lineage mapping

Map data dependencies visually and monitor schema evolution automatically. Trace any dashboard KPI back to its raw storage elements with continuous column-level pipeline lineage tracking.

Column-level pipeline lineage from raw_orders to dashboard_feed

Resources

Knowledge documentation and resources

Roadmap

Public Roadmap

What we're building next. Submit feature requests.

View roadmap ↗

Support

Support

Access technical support and operational assistance.

Get support ↗

Status

Service Status

Real-time platform availability and incident history.

Check status ↗

Transform operational data into enterprise knowledge.

Explore the Gluesync Platform or discuss your data knowledge strategy with the Molo17 team.