The Data Operating System.
D-Pulse is the complete enterprise data platform. 9-plane architecture that unifies pipelines, lakehouse, AI, governance, and serving into one system.
9 planes. One platform.
Each plane is purpose-built and deeply integrated. No bolt-on tools.
Pipeline
Visual workflow builder with templates, scheduling, and monitoring
Lakehouse
Medallion architecture with Bronze → Silver → Gold data layers
Catalog
Unified data catalog with lineage, profiling, and discovery
AI
Multi-provider AI with agents, NL→SQL, code generation
Governance
RBAC, data contracts, policies, classification, and compliance
Observability
Metrics, alerting, health scoring, and SLA tracking
Serving
Data products, QueryLab, data marts, and REST API publishing
Connectors
380 supported sources via Airbyte protocol, 12 categories
Execution
Workload management, priority queues, engine routing
AI that works with your data
9 providers — from Claude and OpenAI to local Ollama. NL queries, pipeline generation, root cause analysis, autonomous agent execution.
Choose your product
From development to enterprise — pick the right fit.
| Capability | F-Pulse | F-Pulse+ | D-Pulse |
|---|---|---|---|
| Visual Pipeline Builder | ✓ | ✓ | ✓ |
| Connectors | Core | Core | 380 Sources |
| Scheduling & Templates | ✓ | ✓ | ✓ |
| Environment | Dev | Dev + Prod | Multi-Tenant Prod |
| Production Deployment | — | ✓ | ✓ |
| Credential Encryption (AES-256) | — | ✓ | ✓ |
| Run History & Audit | Basic | Full + MoM | Full + Compliance |
| RBAC | — | 5-Tier | 5-Tier + Workspace |
| Session Intelligence & IP Restriction | — | ✓ | ✓ |
| Lakehouse (Medallion) | — | — | ✓ |
| Data Catalog & Lineage | — | — | ✓ |
| AI Layer (9 Providers) | — | — | ✓ |
| Governance & Policies | — | — | Full |
| Data Serving & Products | — | — | ✓ |
| Multi-Tenancy & SSO | — | — | ✓ |
| License | Open Source | Commercial | Enterprise |
What enterprises run on D-Pulse
Cross-functional data work that needs governance, scale, and a single source of truth.
Replace 5+ tools with one
Consolidate Airflow + Snowflake + dbt + DataHub + Looker into a single 9-plane platform. One login, one RBAC model, one audit trail, one bill.
Multi-tenant data platform
Stand up a shared lakehouse for multiple business units with workspace isolation, per-tenant RBAC, quotas, and chargeback reporting.
Regulated industry compliance
Field-level data classification, lineage to source for every column, enforced retention policies, and immutable audit logs for SOC 2, HIPAA, GDPR.
AI on private data
Run NL→SQL, RAG, and agent workflows against your warehouse with Ollama or self-hosted models. Data never leaves your VPC.
Data products at scale
Publish governed datasets as REST APIs and self-serve marts. Subscribers, metrics, and contracts — not just files in a bucket.
Lakehouse migration
Move off legacy warehouses onto an Iceberg/Delta lakehouse with medallion structure, governed catalog, and engine-of-choice query routing.
Common questions
How is D-Pulse different from F-Pulse+?
F-Pulse+ is a production pipeline engine — encryption, RBAC, audit, admin. D-Pulse is the full enterprise data operating system: pipelines plus lakehouse, catalog, AI, governance, observability, serving, connectors, and execution. F-Pulse+ replaces your orchestrator. D-Pulse replaces your orchestrator, your warehouse layer, your catalog, your governance tooling, and your serving layer.
Does D-Pulse replace Snowflake or Databricks?
D-Pulse can run on top of Snowflake, Databricks, BigQuery, or its own integrated lakehouse — your choice. The 9-plane architecture is engine-agnostic. Many customers keep their existing warehouse and use D-Pulse for the layers above it (catalog, governance, serving). Others consolidate fully onto the D-Pulse lakehouse for the cost savings.
How does the AI plane handle our private data?
The AI plane supports 9 providers including Ollama for fully local inference. Data never leaves your VPC unless you explicitly configure a hosted provider. Even with hosted providers, only the minimum required context is sent — no raw rows, no credentials. The agent layer runs on tool_use with strict tool allowlisting per workspace.
What about SSO, RBAC, and multi-tenancy?
SSO via Keycloak (SAML/OIDC), 5-tier RBAC with workspace-level filtering, and full multi-tenancy out of the box. Each workspace has isolated data, isolated quotas, isolated audit trails, and per-workspace policy enforcement via OPA.
Can we self-host D-Pulse, or is it cloud-only?
Self-hosted is the default deployment. D-Pulse runs on Docker Compose for small installations and Kubernetes (Helm chart) for production. There is also a managed cloud option for teams that don't want to operate the platform themselves.
How do we migrate from our existing stack?
Most migrations happen plane-by-plane, not big-bang. Teams typically start with Catalog (point it at existing warehouses to get unified lineage), then Governance (centralize policies), then Pipelines (move new work to D-Pulse, leave legacy DAGs in place). Full cutover is a 1-2 quarter project depending on scope.
How is D-Pulse priced?
D-Pulse is a commercial enterprise product priced per-workspace and per-environment, not per-row or per-query. Pricing is conversation-based — request a demo from /access and we'll scope it to what you actually need.
Your data deserves an operating system.
See D-Pulse in action. Request a demo from our team.
Request Demo