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Analyze time tracked in Clockify in your Data Warehouse

Clockify is a time tracking and productivity app that tracks hours and generates project reports.

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Create a single source of truth

Connect Clockify with the leading data warehouses on the market

Clockify + Amazon S3

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Clockify + Azure Synapse

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Clockify + BigQuery

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Clockify + ClickHouse

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What is Erathos?

Integrate Clockify time data into your Data Warehouse effortlessly

Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.

Why Erathos?

From Clockify to your Data Warehouse in minutes

Plug and play connectors

Connect Clockify with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your data in a single analytics environment, ready to generate actionable insights.

Greater control over pipelines

Create Clockify data pipelines quickly: select the relevant data, configure the schedule, frequency, and update type without writing a single line of code. You keep full control, with complete flexibility.

Edge observability

Monitor your Clockify pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data is always up to date and reliable.

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Our customers

Writing data-driven stories

"Erathos has revolutionized the way WePayments approaches data management. With its ability to integrate data from multiple SaaS into a single data warehouse, our technical team can now focus more effectively on the company's core business. With Erathos, we’ve been able to implement dashboards that provide insights across all areas of the company. This has not only enriched our organizational culture but also significantly improved our decision-making process."

Matheus Gobato Nunes

CTO & co-founder @WePayments

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Matheus Gobato Nunes

CTO & co-founder @WePayments

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Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Select your data source

More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.

Setup your pipeline

Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.

Select your data warehouse

Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data

FAQ

Frequently Asked Questions

How are Clockify time data synchronized with the DW?

Erathos synchronizes Clockify time entries, projects, clients, users, and productivity reports with your Data Warehouse automatically and incrementally.

Is Clockify data synchronized incrementally?

Yes! The Clockify integration via Erathos is incremental by default: only new or changed data is synchronized with each run. This ensures efficient pipelines, lower processing costs, and data that is always up to date in your Data Warehouse.

Can I test the Clockify integration for free?

Yes! You can test the Clockify integration for free for 14 days. Just connect Clockify as a new source — you’ll have two weeks to validate whether the connector meets your needs before any charge is applied.

Which data warehouses can I send Clockify data to?

With Erathos, you can send data from Clockify to the market’s leading data warehouses: BigQuery, Snowflake, Redshift, Databricks, Amazon S3, and PostgreSQL. Just choose the destination and set up the pipeline in minutes—no code required.

Does Erathos integrate Clockify directly with other systems?

No. Erathos does not provide direct integrations between Clockify and other systems ("point to point"). Our focus is to centralize Clockify data in a Data Warehouse, creating a single source of truth so your company can make decisions based on reliable data.

How are Clockify time data synchronized with the DW?

Erathos synchronizes Clockify time entries, projects, clients, users, and productivity reports with your Data Warehouse automatically and incrementally.