How to load data from Kyriba to Clickhouse

Learn how to use Airbyte to synchronize your Kyriba data into Clickhouse within minutes.

Try Airbyte Cloud Manual method (the hard way)

Building your pipeline or Using Airbyte

Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Kyriba connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Clickhouse for your extracted Kyriba data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Kyriba to Clickhouse in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud Manual method (the hard way)

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

Simple & Easy to use Interface

Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.

Guided Tour: Assisting you in building connections

Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.

Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes

Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.

Try Airbyte Cloud Manual method (the hard way)

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

Learn more

How to Sync to Manually

Step 1: Understand Kyriba's Data Export Capabilities

Begin by exploring Kyriba's native data export features. Determine the formats (e.g., CSV, Excel, XML) and methods (e.g., scheduled reports, manual exports) available for extracting data. This understanding is crucial as it will dictate how you can access and retrieve the data you need.

Step 2: Set Up a Secure File Transfer Mechanism

Choose a secure file transfer method to move the exported data from Kyriba to your local system or directly to a server. Secure options include SFTP (Secure File Transfer Protocol) or SCP (Secure Copy Protocol). Ensure you have the necessary credentials and permissions to perform these transfers.

Step 3: Automate Data Export from Kyriba

Utilize Kyriba's scheduling features to automate the data export process. Schedule regular exports (e.g., daily, weekly) to ensure that your data is consistently updated. If automation is not feasible, plan for regular manual exports according to your data update needs.

Step 4: Prepare the Data for ClickHouse

Once the data is exported, it may require formatting or transformation to be compatible with ClickHouse. Use scripts (e.g., Python, Bash) to clean, transform, or aggregate the data as necessary. Ensure that the data conforms to the schema and data types expected by your ClickHouse tables.

Step 5: Establish a Direct Connection to ClickHouse

Set up a direct connection to your ClickHouse server from the machine where the data is stored. You can use the ClickHouse client or command-line tools to establish the connection. Ensure that your network and firewall settings allow access to the ClickHouse server.

Step 6: Load Data into ClickHouse

Use the ClickHouse `INSERT INTO` command or `clickhouse-client` tool to load the prepared data files into ClickHouse. For large datasets, consider using the `clickhouse-local` utility for batch processing. Ensure that you handle any potential data type mismatches or errors during the load process.

Step 7: Verify Data Integrity and Performance

After loading the data, perform checks to verify data integrity and consistency. Run queries to ensure that the data is accurately loaded and that no records are missing. Additionally, monitor the performance of your ClickHouse queries to ensure that they meet your performance expectations.

By following these steps, you can effectively transfer data from Kyriba to a ClickHouse warehouse without relying on third-party connectors or integrations.