Simplify your DataOps Management

Features

Helping you elevate your data
management experience

Streamline Operations with Built-in Features

Trocco simplifies data operations by offering essential built-in features like periodic execution and error notification, eliminating the need for custom development.

This comprehensive suite makes managing data workflows more efficient, allowing teams to focus on analytics rather than infrastructure, thereby streamlining operational requirements.

Manage your Data Ops Easily with More Control

With features like scheduled executions, error notifications, and more, Trocco ensures that all necessary tools for managing data operations are readily available, allowing teams to focus on deriving value from their data rather than on the underlying operational mechanics.

This turnkey solution enhances operational efficiency, reduces development overhead, and accelerates the path to insights.

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Technical Capabilities

Elevate Your Data Workflow and Streamline Analytics with Automated Schema, Custom Templates, and Dynamic Variables

Easy Team and Access Management

Trocco boosts data security by enabling administrators to manage team-level access permissions for connections and ETL pipelines, ensuring role-appropriate access, protecting sensitive data, and enhancing operational efficiency.

Automate Job Executions with Flexible Scheduling

Trocco offers flexible scheduling for automating tasks from hourly to monthly, ensuring consistent execution and alignment with business needs, enhancing reliability and adaptability in data operations.

Set Notifications for Key Operational Conditions

Trocco streamlines notification setup for essential metrics like rows transferred and errors via Slack or email, ensuring teams are promptly informed for quick issue resolution and enhancing operational responsiveness.

Duplicate Job Execution Prevention

Trocco's safeguard against repetitive job executions prevents data duplication and wastage, enhancing processing efficiency and accuracy, optimizing costs, and maintaining data integrity.

How it works

Automated data replication architecture

From source to destination, our core functionality automates the extract and load replication process for all of our connectors, so you can enjoy total pipeline peace of mind.

Data Integration/
Ingestion

Begin by swiftly connecting to any data source, enabling the collection of diverse datasets within minutes.

Data Transformation

Convert the ingested raw data into structured business data models that are ready for analysis.

Data Orchestration

Automate and optimize the entire data flow, from initial ingestion to final storage.

Still curious ?

Watch our live demo video to see the platform in action. Witness firsthand how our ETL pipelines can transform your data processes, making them more efficient and effective.

Book a Demo

Latest resources

Additional Valuable Resources for your business

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Decoding the Differences: ETL vs. Big Data

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Data Warehouse Architecture in Data Mining: What You Need to Know

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Frequently Asked Questions

01.

How to fix the error that occurs when the transfer volume from BigQuery is too large

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...

02.

How to specify elements and extract values when an array is included in the source column JSON

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary If the JSON of the transfer source column contains an array and you wan...

03.

How to generate a webhook URL in Slack

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary Learn how to issue the webhook URL required for notifications to Slack....

04.

Is it possible to increase the transfer speed?

05.

Do you support transfers from an on-premise environment?

06.

Do you support transfers from an on-premise environment?