Building your pipeline or Using Airbyte
Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“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.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Freshsales is a modern, AI-powered sales automation and customer relationship management (CRM) solution designed to help businesses streamline their sales processes and drive revenue growth. It offers a range of features, including lead and contact management, deal tracking, sales forecasting, email integration, and automation. Freshsales' AI capabilities, such as lead scoring and intelligent data capture, provide sales teams with valuable insights and intelligent recommendations. Freshsales integrates seamlessly with popular business tools, allowing for a centralized view of customer data.
Freshsales's API provides access to a wide range of data related to customer relationship management (CRM) and sales automation. The following are the categories of data that can be accessed through Freshsales's API:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and job title.
2. Accounts: Information about companies or organizations, including their name, address, and industry.
3. Deals: Information about sales deals, including the deal amount, stage, and expected close date.
4. Activities: Information about activities related to sales and customer interactions, including calls, emails, and meetings.
5. Notes: Information about notes and comments related to contacts, accounts, and deals.
6. Tasks: Information about tasks related to sales and customer interactions, including due dates and priorities.
7. Custom fields: Information about custom fields that can be added to contacts, accounts, and deals to capture additional data.
8. Reports: Information about reports generated from the data in Freshsales, including sales performance reports and pipeline reports.
Overall, Freshsales's API provides access to a comprehensive set of data that can be used to improve sales and customer relationship management processes.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
Freshsales is a modern, AI-powered sales automation and customer relationship management (CRM) solution designed to help businesses streamline their sales processes and drive revenue growth. It offers a range of features, including lead and contact management, deal tracking, sales forecasting, email integration, and automation. Freshsales' AI capabilities, such as lead scoring and intelligent data capture, provide sales teams with valuable insights and intelligent recommendations. Freshsales integrates seamlessly with popular business tools, allowing for a centralized view of customer data.
JSON File is a tool that is used to store and exchange data in a structured format. JSON stands for JavaScript Object Notation, and it is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. JSON files are commonly used in web applications to transfer data between the server and the client, and they are also used in many other programming languages and platforms. JSON files consist of key-value pairs, where each key is a string and each value can be a string, number, boolean, array, or another JSON object. The syntax of JSON is similar to that of JavaScript, but it is a separate language that can be used independently of JavaScript. JSON File is a tool that allows users to create, edit, and view JSON files. It provides a user-friendly interface for working with JSON data, and it can be used by developers, data analysts, and anyone else who needs to work with structured data. With JSON File, users can easily create and modify JSON files, and they can also validate the syntax of their JSON data to ensure that it is well-formed and error-free.
1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
2. Click on the "New Source" button and select "Freshsales" from the list of available connectors.
3. Enter a name for your Freshsales source and click on "Next".
4. Enter your Freshsales API key and domain name in the respective fields. You can find your API key by logging into your Freshsales account and navigating to "Profile Settings" > "API Settings". Your domain name is the first part of your Freshsales URL (e.g. if your URL is "https://example.freshsales.io", your domain name is "example").
5. Click on "Test" to verify your credentials. If the test is successful, click on "Create" to save your Freshsales source.
6. You can now configure your Freshsales source by selecting the tables you want to replicate and setting up any relevant sync options.
7. Once you have configured your Freshsales source, click on "Create Connection" to set up a destination for your data.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "JSON File" destination connector and click on it.
3. Click on the "Create new connection" button.
4. Enter a name for your connection and click on the "Next" button.
5. Fill in the required fields for your JSON File destination, such as the file path and format.
6. Test the connection by clicking on the "Test" button.
7. If the test is successful, click on the "Save & Sync" button to save your connection and start syncing data to your JSON File destination.
8. You can also schedule your syncs by clicking on the "Schedule" button and selecting the frequency and time for your syncs.
9. To view your synced data, navigate to the file path you specified in your JSON File destination and open the file in a text editor or JSON viewer.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Freshsales's API provides access to a wide range of data related to customer relationship management (CRM) and sales automation. The following are the categories of data that can be accessed through Freshsales's API:
1. Contacts: Information about individual contacts, including their name, email address, phone number, and job title.
2. Accounts: Information about companies or organizations, including their name, address, and industry.
3. Deals: Information about sales deals, including the deal amount, stage, and expected close date.
4. Activities: Information about activities related to sales and customer interactions, including calls, emails, and meetings.
5. Notes: Information about notes and comments related to contacts, accounts, and deals.
6. Tasks: Information about tasks related to sales and customer interactions, including due dates and priorities.
7. Custom fields: Information about custom fields that can be added to contacts, accounts, and deals to capture additional data.
8. Reports: Information about reports generated from the data in Freshsales, including sales performance reports and pipeline reports.
Overall, Freshsales's API provides access to a comprehensive set of data that can be used to improve sales and customer relationship management processes.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: