How to load data from Tyntec SMS to Clickhouse
Learn how to use Airbyte to synchronize your Tyntec SMS data into Clickhouse within minutes.


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
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
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.
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
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“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.”

Rupak Patel
"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."
How to Sync to Manually
Step 1: Set Up tyntec SMS Data Export
Begin by accessing your tyntec SMS account and navigating to the data export section. Configure the export settings to generate CSV or JSON files, which are common formats that can be manually handled. Schedule regular exports if you need ongoing data transfers.
Step 2: Download Exported Data
Once you've configured the export settings, manually download the exported data files to your local machine or a secure server location. Ensure that the data is in a consistent format each time for seamless processing.
Step 3: Prepare Local Environment
On your local machine or server, set up a working environment for data processing. Install necessary tools like Python or a simple shell scripting environment to handle file parsing and manipulation if needed.
Step 4: Parse and Transform Data
Use a script to read through the downloaded data file. In Python, for example, use libraries like `csv` or `json` to parse the data. Transform the data as needed to match the schema of your ClickHouse database, ensuring all necessary fields are correctly formatted.
Step 5: Install ClickHouse Client
On the machine where you processed the data, install the ClickHouse client. This can be done by downloading the binary or using a package manager like `apt-get` (for Ubuntu) or `brew` (for macOS). Ensure the client is configured to connect to your ClickHouse server.
Step 6: Create ClickHouse Table Schema
Before importing data, ensure that a table exists in your ClickHouse database with the appropriate schema. Use the ClickHouse client to connect to your database and execute a `CREATE TABLE` statement that matches the data structure you prepared.
Step 7: Upload Data to ClickHouse
Use the ClickHouse client to upload your transformed data file. You can use the `clickhouse-client` tool with a command like `cat data.csv | clickhouse-client --query="INSERT INTO your_table FORMAT CSV"`. Ensure you handle any errors or exceptions during the upload process to confirm data integrity.
By following these steps, you can efficiently move data from tyntec SMS to ClickHouse without relying on third-party connectors or integrations.