How to load data from Dremio to Weaviate
Learn how to use Airbyte to synchronize your Dremio 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: Export Data from Dremio
Begin by exporting the data you need from Dremio. You can do this by executing a SQL query to filter and select your desired data, and then exporting the results to a CSV or JSON file. Use Dremio's user interface or REST API to run the query and download the data.
Step 2: Verify Data Integrity
Before proceeding, verify the integrity of the exported data. Check for any inconsistencies or missing values by opening the CSV or JSON file in a text editor or spreadsheet application. Ensure that the data format and structure align with your requirements for import into Weaviate.
Step 3: Prepare Data for Weaviate
Transform the data into a format suitable for Weaviate. Weaviate expects data in JSON format with specific schema requirements for class and property definitions. If you exported data as CSV, convert it to JSON and structure it according to the classes and properties you plan to use in your Weaviate instance.
Step 4: Set Up Weaviate Schema
Before importing data, set up the schema in Weaviate to match the structure of your data. Define classes and properties that correspond to the fields in your dataset. Use the Weaviate Console or REST API to configure the schema, ensuring it aligns with how you’ve structured your JSON data.
Step 5: Write a Script for Data Import
Create a script, using a programming language like Python, to read your prepared JSON file and insert the data into Weaviate. Utilize Weaviate’s REST API to send POST requests for each data object. Ensure your script handles authentication and error-checking to manage potential issues during the import process.
Step 6: Execute the Data Import
Run the script to import the data into Weaviate. Monitor the process to catch any errors or anomalies that might arise. Depending on your dataset size, the import could take time, so ensure your script includes logging to track progress and troubleshoot if necessary.
Step 7: Validate Imported Data in Weaviate
After the import, verify that all data has been accurately transferred to Weaviate. Use the Weaviate Console or API to query the data and check for completeness and correctness. Confirm that the data matches your expectations based on the original dataset from Dremio.
By following these steps, you can successfully move your data from Dremio to Weaviate without relying on third-party connectors or integrations.