How to load data from Adjust to Weaviate
Learn how to use Airbyte to synchronize your Adjust data into Weaviate 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: Understand Data Structures
Begin by understanding the data structures of both Adjust and Weaviate. Adjust provides data in a structured format (e.g., CSV, JSON) that includes metrics and user attributes. Weaviate is a vector database that organizes data into objects and classes with properties. Familiarize yourself with these formats to plan the data transformation.
Step 2: Extract Data from Adjust
Use Adjust's API to extract data. Adjust offers a RESTful API to pull data. Write a script (using Python, for instance) to make GET requests to Adjust’s API endpoints to fetch the necessary data. Authenticate using your API key and ensure you have permissions to access the data you need.
Step 3: Transform Data to Weaviate Format
Transform the extracted data into the format required by Weaviate. This involves converting your Adjust data into objects with properties that fit into your Weaviate schema. Use a programming language like Python to process the data, ensuring that each data point corresponds to an object and its properties in Weaviate.
Step 4: Set Up Weaviate Schema
Define your Weaviate schema before importing data. Use Weaviate's schema feature to define classes and properties that align with your transformed data. This involves specifying data types and vectors. Ensure that your schema accommodates all the attributes from Adjust that you wish to store.
Step 5: Load Transformed Data into Weaviate
Write a script to load the transformed data into Weaviate via its API. Use POST requests to send the data objects to Weaviate’s data import endpoint. Ensure that each object adheres to the schema you defined, and handle any errors that arise during this process.
Step 6: Validate Data Integrity
After the data import, validate the data integrity in Weaviate. Check that all objects are correctly stored and indexed. Use Weaviate’s API to query data and verify that it matches the original data from Adjust. This step ensures that no data was lost or corrupted during the transfer.
Step 7: Automate the Process
If regular data updates are needed, automate the extraction, transformation, and loading process. Use cron jobs or other scheduling tools to run your scripts at regular intervals, ensuring that your Weaviate database is consistently updated with the latest data from Adjust without manual intervention.
By following these steps, you can successfully move data from Adjust to Weaviate without relying on third-party connectors or integrations.