Introzen BI

Analytics Platform

v1.0 Platform ReleaseHigh-Throughput ETL & Pipeline Observability

Ingest, transform, and observe data at enterprise scale.

Unified data orchestration for analytics teams. Build declarative pipelines, keep every workspace isolated, and turn materialised datasets into fast, readable charts.

No account needed for the demo, or book an architecture review.

Audit-Ready Run History
Columnar Parquet Storage
Workspace-Level Isolation
pipeline_prod_v2 / core_transformation_dag
orders_api
HEALTHY
Rows Fetched:1,204
Response:180 ms
transform_node
RUNNING
Worker Concurrency:4 parallel
Steps Applied:4 of 4
analytics_warehouse
SYNCED
Rows Written:1,204
Storage:Parquet · Columnar
Pipeline Status: Zero Errors•Active Isolation: Workspace Partitioning
Engine Clock: 0.002s
How it works

Four stages from raw file to decision.

Walk through it in the live demo
  1. 01

    Connect

    Data source

    Upload a CSV or JSON file, or point at a REST endpoint and let the engine sample it.

    Read the guide
  2. 02

    Describe

    Pipeline

    Set the transformations and the schedule. Filter, rename, convert and sort without SQL.

    Read the guide
  3. 03

    Run

    Execution

    Trigger a run and watch it stream. Retries, cancellations and the full log are kept.

    Read the guide
  4. 04

    Analyse

    Dataset & chart

    The run materialises a columnar dataset that powers charts, reports and exports.

    Read the guide
Platform Architecture

Unified infrastructure for the entire data lifecycle.

A cohesive control plane engineered for scale. Replace fragmented ETL tools and reporting suites with a single, deeply integrated platform.

Visual DAG Orchestration

Design, schedule, and monitor complex ETL workflows with dependency graphing, automatic retries, and schema-aware validations.

Extract
Transform
Load (Sync)

Universal Ingestion

Bring in CSV and JSON files, or connect a REST endpoint and let the engine sample it — no connector code to maintain.

Telemetry Dashboard

Single pane of glass for pipeline health, data throughput, and system latency metrics.

Columnar Engine

Runs materialise to Parquet, so a chart reads a prepared columnar dataset instead of re-querying the source.

Enterprise Multi-Tenancy

One enforced isolation boundary, per-workspace quotas, and a staff control centre that spans the whole fleet.

Tenant AlphaWS 1
Tenant BetaWS 2

RBAC & Security

Five workspace roles — owner, admin, editor, analyst and viewer — with membership managed per workspace.

Reports & Exports

Workspace summary, execution trends and distributions, each exportable to CSV or JSON exactly as shown.

Configurations

Manage workspace preferences, notification defaults and per-user settings from one page.

Infrastructure Ops

Fleet-wide audit trail, per-workspace usage, storage accounting and status controls for platform administrators.

[SYS_AUDIT] User role modified12:04:11 UTC
[INFRA] Worker heartbeat OKHEALTHY
Visual DAG Editor

Architect complex workflows, visually.

Ditch the fragile scripts. Define extraction, an ordered list of transformation steps and a schedule as one declarative pipeline that is validated before it is ever allowed to run.

Scheduled or On-Demand

Run a pipeline hourly, daily, weekly or monthly, or trigger it by hand. A second run is rejected while one is still pending or running.

Retry and Cancel

A failed run keeps its full log, so a problem is diagnosable and the run can be retried without touching the pipeline definition.

Validated Definitions

A pipeline is a source plus an ordered list of transformation steps. The chain is validated when you save it and again when a run starts.

Live Execution Logs

Follow a run over a WebSocket as it extracts, transforms and writes its dataset, then read the same log again later for any past run.

workspace/user_events_prod

Orders_Feed

REST Endpoint

Every 5m
Active

Clean_Orders

Transform step

2.4k rows/sec
Processing

Type_Convert

convert_type

Orders_Dataset

Parquet Output

Ingestion Without Scripts

Ingest from anywhere.
Zero custom scripts.

Connect files and REST endpoints without writing a script. The ingestion engine samples the source, infers the schema and hands a ready dataset to the transformation step.

File and REST Ingestion

Upload CSV or JSON, or pull a REST endpoint on a schedule. Sample extraction, type inference, pagination and retries are handled for you.

Automatic Schema Inference

Column names and types are inferred from a sample of the source, so a new dataset is chartable without hand-written mapping.

Workspace-Level Isolation

Every query, file and run belongs to exactly one workspace, and ownership is re-checked at object level on every request.

Read the ingestion guide

Active Connections

Real-time sync status across all sources.

Ingesting: 14.2 GB/hr

Orders Export

CSV · 18 MBSample extracted
Syncing
4,201 rows/sec

Billing API

REST EndpointEvery 6h
Scheduled
Next run in 14m

App Log Archives

JSON · 4 MBUploaded
Synced
2 mins ago
ingestion_worker_04

[14:22:01] INFO connection established to api.billing.internal

[14:22:02] INFO streaming endpoint pages... OK

[14:22:02] INFO inferred 14 columns and 4 types from the sample

[14:22:03] SYNC 4,201 rows written to the dataset

Governance & Enterprise Trust

Absolute control for complex organizations.

Keep every workspace isolated, manage membership and roles from one place, and read a complete, exportable run history for the fleet.

Membership & Roles

Invite teammates by email and assign owner, admin, editor, analyst or viewer. Removing a membership revokes that account's access to the workspace immediately.

Invite by email
Role-based access

Workspace Isolation

Workspace context is resolved once per request and enforced in the queryset layer, then re-checked at object level before any read or write.

Tenant Isolation:STRICT_ACTIVE
Scoping:Token + Object
Session:HttpOnly Cookie

Immutable Run History

Every execution keeps its status, timings, record counts and a timestamped log, so any number on a dashboard traces back to the run that produced it.

[SYS_AUDIT] Tenant id=104 auth success

[POLICY] Verified signature for worker_02

[AUDIT] Execution run recorded with log

Unified Workspace

See the platform in action.

A single, tightly-integrated environment for ingestion, pipelines, charts and administration.

app.introzen.com/observability
Workspace overview7 days

Active sources

6

Running

2

Success rate

98%

M
T
W
T
F
S
S
Data ObservabilityOpen the guide

Simple pricing. Built for scale.

Start for free, upgrade when you need more power. No hidden fees.

Starter

Perfect for exploring the platform and building proof of concepts.

$0

Included features

  • Up to 100k rows/month
  • 3 active pipelines
  • Community support
  • 1 workspace
Most Popular

Professional

For growing teams that need more throughput and orchestration power.

$29/mo

Included features

  • Up to 10M rows/month
  • Unlimited pipelines
  • Priority email support
  • 5 workspaces
  • Scheduled pipeline runs

Enterprise

Dedicated infrastructure and advanced governance for large organizations.

Custom

Included features

  • Unlimited throughput
  • Audit log export
  • 24/7 dedicated support
  • Unlimited workspaces
  • Workspace isolation

Not ready to sign up?

Explore a fully seeded workspace with pipelines, charts and the control centre. No account required.

Launch live demo
Frequently Asked Questions

Everything you need to know.

Find clear answers regarding platform architecture, connector setup, security controls, and enterprise deployment options.

Introzen BI is a modern enterprise data platform designed to centralize data ingestion, automate ETL workflows, power interactive analytics, and provide granular multi-tenant governance from a single control plane.
No. Pipelines are built from declarative steps — filter, rename, convert type and sort — and every chart is configured in the interface. Developers who want to script against the platform can use the documented REST API instead.
Yes. Upload CSV or JSON files, or connect an external REST endpoint. A source can hold uploaded files, an API connection, or both, and each pipeline binds to exactly one source.
Each organization operates within a logically isolated environment. Data pipelines, user memberships, role assignments, and configurations are strictly partitioned to ensure absolute security and multi-tenant compliance.
Every workspace has its own membership list with five roles — owner, admin, editor, analyst and viewer. Administrators can invite teammates by email, change a role at any time, and suspend or restore an account.
Workspace isolation is enforced in one place: every request resolves a workspace and is scoped in the queryset layer, then re-checked at object level. Sessions use short-lived HttpOnly cookies that refresh transparently, and production enforces HTTPS, secure cookies and HSTS.
Yes. A pipeline can run on a schedule (hourly, daily, weekly or monthly) or be triggered on demand, with live WebSocket logs, cancel and retry, and a complete execution history.
Introzen BI is engineered specifically for data teams, analytics engineers, IT directors, and growing enterprises looking to replace fragmented internal tooling with a unified data operations suite.

Still have questions?

Our engineering and support teams are ready to help evaluate your data stack requirements and architectural workflows.

Contact SupportBrowse Documentation
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