- contact@insightdataflow.com
No-code / low-code ETL platform with 100+ connectors, an intuitive visual designer, and a multicloud Airflow framework — structured, unstructured, ML, and streaming workflows up and running in minutes.
Connect, design, run on your stack, monitor in production — with AI in the loop the whole way.
100+ pre-built connectors. Configuration without coding for the long-tail systems your team already runs.
Drag-and-drop designer with AI suggestions, inline preview, and schema validation.
Multicloud-ready with auto-scaling compute — run on whatever engine you already operate.
Real-time monitoring, alerting, lineage tracking, and AI-driven optimization signals.
Three groupings, one consistent connector layer — no per-source quirks to manage.
From transactional databases to cloud warehouses — the systems that hold the data and the systems that serve it.
Raw and curated object stores plus modern lakehouse table formats — one connector layer across all of them.
Streaming sources, SaaS APIs, vector databases, and LLM providers — the modern AI data fabric.
Unified connectivity, a designer everyone can use, and an engine layer that fits your existing stack.
From the visual canvas to agentic AI and lineage — the things production pipelines actually need.
Drag-and-drop pipeline authoring with AI-assisted transforms.
Databases, warehouses, lakes, streams, APIs, vector DBs, LLMs.
Native DAG generation that runs the same on AWS, Azure, and GCP.
Transformation suggestions, anomaly detection, and pipeline optimization.
Kafka / Kinesis with exactly-once delivery semantics.
End-to-end tracking from raw source to downstream consumer.
Feature engineering, inference, RAG with vector-DB integration.
Health tracking, SLA monitoring, intelligent alerting on signal.
Each role gets a tuned workflow — the same pipeline, the right view.
On-premise and private-cloud deployment. All processing inside your infrastructure.
On-premise and private-cloud deployment. All processing happens within your infrastructure — no data leaves your network.
GDPR, HIPAA, SOC 2, and CCPA aligned. Built-in audit trails, encryption at rest and in transit, role-based access control.
One abstraction across AWS, Azure, and GCP. Run on Airflow, Databricks, Glue, RAY, or Spark — whichever you already operate.