Tamivra · A PredictDocs product

Turn Enterprise Data Into Trusted Intelligence.

Tamivra connects your SaaS applications, APIs, databases, and files into a secure, governed data platform built for reporting, analytics, automation, and AI.

Tamivra mascot character
REST API
Power BI
JDBC
SaaS
SFTP
SQL
Qlik
Tamivra

Tamivra

AI-powered enterprise data platform

ConnectActive
WarehouseLive
BI & AnalyticsReady
Platform architecture

One Platform From Source to Insight

Tamivra provides the infrastructure organisations need to bring fragmented enterprise data together, standardise it, monitor its quality, and make it securely available to reporting tools and downstream systems.

Connect
Ingest
Transform
Warehouse
Govern
Deliver
Analyse
Data connectivity

Connect the Systems That Run Your Business

Tamivra uses a reusable connector architecture designed to support enterprise applications, databases, APIs, and file-based integrations without rebuilding your data platform for every new source.

REST APIs

Connect to any HTTP REST API with configurable authentication, pagination, and field mapping.

JDBC Databases

Extract data from PostgreSQL, SQL Server, MySQL, MariaDB, and Oracle-ready database architectures.

SFTP & File Transfer

Ingest structured files from SFTP servers with automated scheduling and arrival detection.

JSON & CSV Files

Process JSON payloads and flat CSV files with configurable schema mapping and validation.

SaaS Applications

Connect enterprise SaaS platforms through Tamivra's extensible connector framework.

Extensible Framework

New connectors are built once and reused across pipelines — no bespoke integration required for each new source.

Tamivra mascot connecting enterprise data sources
Data pipelines

Build Reliable Data Pipelines

Configure repeatable, restartable pipelines that move millions of records while maintaining auditability, data quality, and operational visibility.

Tamivra mascot designing a data pipeline

Full & Incremental Extraction

Support full-load and watermark-based incremental strategies with automatic checkpoint management.

Scheduling & Automation

Define cron-based schedules with configurable retry handling and failure alerting.

Schema Discovery

Automatically inspect source schemas and detect changes before they affect downstream data.

Mapping & Transformation

Define field-level mappings, apply transformations, and run validation rules before data reaches the warehouse.

Reconciliation

Compare source record counts and values against warehouse state to verify every load is complete and accurate.

Execution Monitoring

Track pipeline runs, failed records, retry counts, and performance metrics from the operations portal.

Data warehouse

A Warehouse Designed for Enterprise Reporting

Tamivra separates ingestion from reporting so your operational pipelines remain controlled while analysts and BI tools receive clean, business-ready datasets.

Landing
Raw
Staging
Core
History
Warehouse
Reporting
Tamivra mascot with enterprise data warehouse

Dimensional Models

Fact and dimension tables structured for efficient reporting queries and BI tool compatibility.

Historical Tracking

Slowly-changing dimension support and history layers preserve the full record of data changes over time.

Materialised Views

Pre-aggregated reporting views that deliver fast query performance without exposing raw tables.

Tenant Separation

Dedicated reporting schemas and read-only accounts isolate each client's data from other tenants.

Business intelligence

Built for Power BI, Qlik, and Enterprise Analytics

Give reporting teams direct access to curated data without exposing raw ingestion tables or internal platform schemas.

Power BI

Connect Power BI directly to Tamivra's dedicated reporting schemas via JDBC for always-fresh datasets.

Qlik

Qlik applications consume stable reporting views through dedicated read-only database credentials.

Tableau, Excel & ODBC

Any JDBC/ODBC-compatible tool can connect to approved reporting schemas with enforced query limits.

Tenant Isolation

Each client receives their own reporting schema and credentials, with no cross-tenant data access possible.

Data Freshness

Pipeline completion metadata and timestamps allow BI tools to surface data-freshness indicators to end users.

Secure Connections

All reporting connections are SSL-encrypted with credentials managed through Tamivra's secure credential store.

AI capabilities

AI That Understands Your Data Platform

Tamivra's AI capabilities assist administrators and data engineers — accelerating configuration, surfacing root causes, and helping teams understand data lineage without manual investigation.

Tamivra AI Copilot mascot analyzing data

AI Mapping Assistant

Automatically recommends mappings between source and destination fields using schema information, metadata, and sample values — reducing manual configuration time.

AI Pipeline Builder

Describe a pipeline in natural language and generate a validated draft configuration ready for review and approval before any data moves.

AI Root-Cause Analysis

Analyse failed jobs, validation issues, schema changes, and reconciliation differences to identify probable causes and recommended corrective actions.

AI Lineage & Impact Analysis

Understand where data originates, how it moves through Tamivra, and which downstream assets may be affected before making a change.

Tamivra AI Copilot

Ask questions about pipelines, schemas, failures, mappings, warehouse objects, and operational history directly from the administration portal.

AI recommendations remain governed by Tamivra's permissions, tenant isolation, validation, and approval workflows.

Data quality & governance

Trust the Data You Deliver

Tamivra helps teams move beyond simply collecting data by providing visibility into whether that data is complete, consistent, traceable, and ready for use.

Validation Rules

Define field-level and record-level validation rules that run at ingestion time with automatic failed-record isolation.

Duplicate Detection

Identify and manage duplicate records before they reach reporting layers.

Reconciliation

Verify that source counts and aggregate values match the warehouse after every pipeline run.

Data Lineage

Trace every data element from its source through each transformation step to its reporting destination.

Schema Change Detection

Detect upstream schema changes before they silently break downstream pipelines.

Audit Logging

Every pipeline run, configuration change, and data access event is logged for operational review.

Enterprise security

Secure by Design

Tamivra's multi-tenant architecture is built so that data, credentials, and operational context are isolated between clients by default.

Tenant Isolation

Each tenant operates in isolated schemas with dedicated credentials. Cross-tenant data access is not possible by design.

Role-Based Access

Granular roles control what each user can see, configure, and execute within the platform.

Credential Management

Connector credentials are encrypted at rest and never exposed in plain text through any interface.

SSL / TLS

All data in transit — between connectors, the warehouse, and BI tools — is SSL-encrypted.

Audit Trails

Comprehensive audit logs record user actions, pipeline events, and configuration changes.

Flexible Deployment

Tamivra is deployable via Docker on infrastructure your organisation controls.

Architecture

From Source to Reporting Layer

Tamivra orchestrates the full data journey — from initial connection through validated warehouse storage to governed reporting delivery.

Use cases

Built for Enterprise Data Challenges

Tamivra is designed for organisations that need to consolidate data from multiple systems into a single, trusted reporting foundation.

Facilities & Work Orders Unify work-order, location, vendor, asset, and maintenance data from disparate systems into a single operational reporting warehouse.
Finance & Procurement Consolidate invoice, vendor, project, and cost information across ERPs and SaaS platforms for accurate financial reporting.
Enterprise Reporting Deliver governed, curated datasets directly to Power BI and Qlik — without exposing source system complexity.
SaaS Data Consolidation Bring information from multiple SaaS platforms into one trusted reporting warehouse with automated, scheduled pipelines.
Data Modernisation Replace manual file transfers and spreadsheet consolidation with auditable, automated data pipelines.
AI-Ready Data Prepare trusted, structured, governed data as the reliable foundation for analytics and AI applications.
Why Tamivra

Why Tamivra?

Tamivra is designed as a complete data infrastructure — not a point tool — for organisations that need integration, warehousing, quality, and BI connectivity in one governed platform.

Built for both integration and warehousing — not one or the other.
Designed for enterprise-scale data volumes and multi-source complexity.
Strong reporting isolation so BI tools never touch raw ingestion tables.
Reusable connector framework instead of one-off integrations for each source.
AI-assisted administration that accelerates mapping, pipeline creation, and diagnostics.
Built-in data quality, reconciliation, and audit — not bolt-on afterthoughts.
Clear operational monitoring with run history, failed-record visibility, and alerting.
Multi-tenant architecture with strict data and credential isolation.
Flexible deployment on infrastructure your organisation controls.
No dependency on a single BI product — connects to Power BI, Qlik, Tableau, and more.

Bring Your Enterprise Data Together

See how Tamivra can connect your systems, automate your pipelines, and deliver trusted data to the people and tools that need it.

Tamivra mascot presenting analytics and demo CTA