Real-Time Data.
Real-Time Decisions.

Real-time data streaming from your operational databases to your data lakehouse
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Get StartedRequest a Demo

Built for Modern Data Teams and trusted by leading global innovators

4.7 rating
Case Study
"Tessell enables Forbes’ mission, reducing database costs >25%, improving customer database-backed page load times 42%-50%, and by providing internal on-demand development environments in less than 7 minutes."
Sameer Patwardhan
SVP, Technology, Forbes
Case Study
"I'm most impressed by the team's never-ending availability, solution-centric thinking, and amazing customer service attitude. Exemplary."
Martti Kontula
Head of OT & Data, Landis+Gyr
Case Study
"Lack of resiliency and recoverability was formerly our biggest issue. With Tessell, it is no longer a concern."
Bryan Strickland
Infrastructure Architect
Case Study
"Firm adopts digital-first with Tessell’s Oracle PaaS on Azure, yielding 40% faster databases, 20% better APIs, and 50% less CPU usage sans code changes."
Tim Reeser
CEO, Lightning eMotors
Case Study
"Tessell's DBaaS boosts operations, data security allowing focus on core goals. Aurionpro integrates Tessell for all solutions."
Jigger Shah
SVP - Hybrid Cloud Services, Aurionpro

Change Data Capture for Data Lakes with Near Real-Time Data Sync and Orchestration

Say goodbye to batch-based ETL. Stream changes as they happen. Keep your data lake always fresh and analytics-ready.

What can you do with Tessell CDC for Data Lakes:

Real-Time Replication

Continuous ML training with Fresh Operational Data

Seamless Sync

Unified Lakehouse in OneLaket

Support for all Clouds and all databases - AWS, Azure, GCP

The Bridge Between Operational & Analytical Data

Tessell unifies your operational data (Oracle, PostgreSQL, SQL Server, and more running in the cloud) with your analytical estate (data lakes, warehouses, and lakehouses) through a single control plane that’s built for DBAs, cloud architects, and data teams.

One pipeline, many targets. Stream or batch from relational databases to your lake/lakehouse/warehouse with built-in change data capture and scheduling.
Data you can trust. Enforce data integrity and data quality on every load: schema checks, constraints, contracts, and automated validations with quarantine & retry.
Always-on observability. End-to-end pipeline monitoring with lineage, SLAs/SLOs, and alerts; see exactly what moved, when, and why.
Governance by design. Central policies for access, masking/PII handling, retention, and encryption are applied consistently across operational stores and the lakehouse.
Cost-smart movement. Optimize loads (incremental, partition-aware, compaction) and control egress/storage to keep FinOps happy..

Enabling secure, near real-time pipelines directly into OneLake

Native Fabric Connectors - Direct integration with OneLake, Synapse, and Power BI without custom ETL.

Steps to Create Your Own Data Ecosystem

STEP 01
Create Data Pipeline

Define Engine type and select the destination end point

STEP 02
Setup Infrastructure

Setup infra for continuous streaming

STEP 03
Add Database to Pipeline

Customize the data that needs to be synced

STEP 04
Bootstrap Data

Bootstrap/One time full sync of database

STEP 05
Sync and Monitor

Sync data continuously and monitor data

How It Works

Capture

Non-intrusive ingestion from production databases (streaming + micro-batch), honoring source performance and security policies.

Curate

Validate, reconcile, and standardize; manage schema evolution safely with versioned contracts.

Deliver

Land clean, partitioned, analytics-ready data to lakes/warehouses; auto-manage tables, manifests, and formats.

Govern & Observe

Lineage, audits, data quality scores, SLA tracking, and alerting across sources, pipelines, and destinations.

Outcomes

Faster time-to-insight with reliable, incremental feeds from operational systems to your lakehouse.

Fewer data incidents thanks to proactive integrity/quality gates and transparent monitoring.

Lower TCO by consolidating tools, automating ops, and reducing failed/duplicative loads.

Powering Trustworthy Data Movement Across Your Ecosystem

Tessell ensures data flows with integrity, consistency, and observability across lakes, warehouses, and hybrid clouds.

Built for All Your Teams

For DBAs

Zero impact on source systems, with full monitoring & retries.

For Data Engineers

No more fragile ETL scripts - pre-built connectors, incremental loading.

For BI Leads

Always-live dashboards, never stale.

For Architects

Multi-cloud, policy-driven, secure by design.

Connect to What You Use

How it Works:

01
Source DB triggers change
02
Tessell CDC captures changes
03
Streams to data lake
04
Data used in Analytics/ML Pipelines

Learn More

EBook

Innovate with Tessell's Data Ecosystem

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Blog

Data Management and Metadata Management: The Dynamic Duo

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Blog

AI-led Transformation of Modern Data Management

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