How to load data from Hubplanner to Weaviate
Learn how to use Airbyte to synchronize your Hubplanner 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 HubPlanner
Begin by exporting the data you need from HubPlanner. Log into your HubPlanner account and navigate to the reports or data export section. Choose the data you want to transfer, such as projects, resources, or time entries, and export it in a CSV format. This format is commonly supported and will facilitate the next steps.
Step 2: Prepare Data for Transformation
Once you have the CSV file, open it using a spreadsheet application like Excel or Google Sheets. Review the data to ensure it is complete and accurate. Remove any unnecessary columns or data entries that you do not need to import into Weaviate. Ensure that the column names are clean and descriptive.
Step 3: Define Weaviate Schema
Before importing data into Weaviate, you need to define the schema that matches your data structure. Access your Weaviate instance and use the schema editor to create classes and properties that correspond to the data from HubPlanner. For example, if you have projects, you might create a "Project" class with properties like "name", "start_date", and "end_date".
Step 4: Convert CSV Data to JSON
Weaviate typically works well with JSON format for importing data. Use a script or a tool to convert your cleaned CSV data into JSON format. This can be done using Python with the Pandas library, or online CSV to JSON conversion tools. Ensure that the JSON structure aligns with the schema you defined in Weaviate.
Step 5: Set Up Weaviate Instance
Make sure your Weaviate instance is running and accessible. You can either set up a local instance using Docker or use a cloud-hosted Weaviate service. Ensure that you have the necessary permissions and API keys to interact with the Weaviate instance.
Step 6: Write a Data Import Script
Develop a script using a programming language such as Python to import the JSON data into Weaviate. Utilize Weaviate's RESTful API to send HTTP POST requests to create objects in your database. For each JSON entry, map the data fields to the corresponding Weaviate class properties.
Step 7: Verify Data Import
After running your import script, verify that the data has been correctly imported into Weaviate. Use Weaviate’s console or API to query the database and check that all entries are present and correctly structured according to your schema. Make adjustments to the import script if necessary and re-run it to correct any issues.
By following these steps, you can manually move data from HubPlanner to Weaviate without relying on third-party connectors or integrations.