Unify 40+ enterprise data sources into a single intelligent layer. Query federated data in real-time without ETL delays or data movement.
100%
Native Connectors
<5min
Query Latency
80%
Faster Integration
Lima's Smart Data Fabric creates a unified semantic layer over your heterogeneous data landscape. Access any data source through a single interface—no bulk replication, no ETL sprawl, no data silos.
Query data where it lives. No redundant copies, no sync issues.
Enterprise SSO, row/column security, masking, and audit trails.
Business users query data directly. No IT tickets required.
Direct connections to PowerBI, Tableau, and any JDBC/ODBC tool.
From universal connectivity to intelligent orchestration—Lima handles the complexity so you can focus on outcomes.
40+ native connectors to SAP, Oracle, Kafka, cloud platforms, files, and APIs. Connect once, query forever.
Query distributed data sources in real-time without physical data movement. True data virtualization at scale.
Profile, harmonize, and enrich incoming data with drag-and-drop transformations. No coding required.
Enforce business rules, detect anomalies, and alert data owners instantly. Bad data stops at the gate.
Visual pipeline builder with Airflow integration. Schedule, monitor, and manage end-to-end data flows..
Automatic lineage tracking from source to consumption. Know exactly where your data comes from and goes.
Stream and batch in one platform. Process Kafka events or nightly extracts with the same tooling.
Write back to SAP and Oracle. Complete the loop from insight to action within your existing systems.
Pre-built SCM ontology maps your data to industry-standard models. Instant semantic understanding.
Pre-built connectors handle the complexity of enterprise integrations. Click to connect—Lima manages authentication, schema detection, and change data capture automatically.
Pre-built connectors handle the complexity of enterprise integrations. Click to connect—Lima manages authentication, schema detection, and change data capture automatically.
Support for bulk and delta extraction modes. Real-time streaming from Kafka, Kinesis, and event hubs. Batch processing for nightly extracts. All managed through a single interface.
Lima's query federation engine decomposes logical queries into source-specific sub-queries, executes them in parallel, and merges results—all transparently.
Eliminate 70% of data replication costs. Real-time analytics on source data without ETL latency or sync failures.
Cost-based optimizer pushes filters, projections, and aggregations down to source engines. Result-set caching accelerates repeated queries. Support for pure virtualization, on-demand materialization, and hybrid patterns.
Drag-and-drop pipeline design with real-time debugging. Schedule complex workflows, monitor execution, and manage dependencies—all through an intuitive UI.
60% reduction in pipeline development time. Business analysts build their own data flows without IT dependencies.
Native Airflow integration for enterprise-grade scheduling. Embed Python scripts, REST API calls, and ML models directly in pipeline flows. Centralized monitoring with alerting on failures and SLA breaches.
Automatic lineage tracking captures how data flows from source systems through transformations to final consumption. Field-level impact analysis for compliance and change management.
Audit response time reduced from weeks to minutes. Complete visibility prevents accidental data corruption and enables confident change deployment.
Search any table or field to see its complete journey. Identify most-used datasets, detect duplicate interfaces, and track data ownership. Full audit trails for regulatory compliance.
Months per source
Full replication required
Hours (batch refresh)
✗ IT-dependent
✗ Manual documentation
✗ Separate integration
Native connectors for enterprise systems, cloud platforms, streaming sources, and files.
See how Lima's Smart Data Fabric can eliminate data silos and accelerate your supply chain intelligence in a personalized demo.