Trusted by data-driven companies
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.
Close is the inside sales CRM of choice for startups and SMBs. Make more calls, send more emails and close more deals starting today. Close is the sales engagement CRM designed to assist SMBs to turn more leads into revenue. With Close, you can email, call, and text your leads without adding any additional features. Power Dialer and task reminders help you follow up more frequently and reach more leads.
Close.com's API provides access to a wide range of data related to sales and customer relationship management. The following are the categories of data that can be accessed through Close.com's API:
1. Contacts: This includes information about individual contacts such as name, email address, phone number, and company.
2. Leads: This includes information about potential customers who have shown interest in a product or service, including their contact information and any interactions they have had with the company.
3. Opportunities: This includes information about potential sales opportunities, including the value of the opportunity, the stage of the sales process, and any associated contacts or leads.
4. Activities: This includes information about any activities related to sales or customer relationship management, such as calls, emails, and meetings.
5. Tasks: This includes information about tasks that need to be completed, such as follow-up calls or emails.
6. Custom Fields: This includes any custom fields that have been created to store additional information about contacts, leads, or opportunities.
Overall, Close.com'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.
Close is the inside sales CRM of choice for startups and SMBs. Make more calls, send more emails and close more deals starting today. Close is the sales engagement CRM designed to assist SMBs to turn more leads into revenue. With Close, you can email, call, and text your leads without adding any additional features. Power Dialer and task reminders help you follow up more frequently and reach more leads.
A communication solutions agency, Kafka is a cloud-based / on-prem distributed system offering social media services, public relations, and events. For event streaming, three main functionalities are available: the ability to (1) subscribe to (read) and publish (write) streams of events, (2) store streams of events indefinitely, durably, and reliably, and (3) process streams of events in either real-time or retrospectively. Kafka offers these capabilities in a secure, highly scalable, and elastic manner.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Close.com" source connector and select "Create new connection."
3. Enter a name for the connection and click "Next."
4. Enter your Close.com API key and API secret in the appropriate fields.
5. Click "Test" to ensure that the connection is successful.
6. If the test is successful, click "Next" to proceed to the next step.
7. Select the tables you want to replicate from Close.com.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to finalize the setup.
Once the connection is created, Airbyte will begin replicating data from Close.com according to the specified settings. You can monitor the progress of the replication in the "Connections" tab on the Airbyte platform. If you need to make changes to the connection settings, you can do so by clicking on the connection and selecting "Edit."
1. First, you need to have an Apache Kafka destination connector installed on your system. If you don't have it, you can download it from the Apache Kafka website.
2. Once you have the Apache Kafka destination connector installed, you need to create a new connection in Airbyte. To do this, go to the Connections tab and click on the "New Connection" button. 3. In the "New Connection" window, select "Apache Kafka" as the destination connector and enter the required connection details, such as the Kafka broker URL, topic name, and authentication credentials.
4. After entering the connection details, click on the "Test Connection" button to ensure that the connection is working properly.
5. If the connection test is successful, click on the "Save" button to save the connection.
6. Once the connection is saved, you can create a new pipeline in Airbyte and select the Apache Kafka destination connector as the destination for your data.
7. In the pipeline configuration, select the connection you created in step 3 as the destination connection.
8. Configure the pipeline to map the source data to the appropriate Kafka topic and fields.
9. Once the pipeline is configured, you can run it to start sending data to your Apache Kafka destination.
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
Close.com's API provides access to a wide range of data related to sales and customer relationship management. The following are the categories of data that can be accessed through Close.com's API:
1. Contacts: This includes information about individual contacts such as name, email address, phone number, and company.
2. Leads: This includes information about potential customers who have shown interest in a product or service, including their contact information and any interactions they have had with the company.
3. Opportunities: This includes information about potential sales opportunities, including the value of the opportunity, the stage of the sales process, and any associated contacts or leads.
4. Activities: This includes information about any activities related to sales or customer relationship management, such as calls, emails, and meetings.
5. Tasks: This includes information about tasks that need to be completed, such as follow-up calls or emails.
6. Custom Fields: This includes any custom fields that have been created to store additional information about contacts, leads, or opportunities.
Overall, Close.com'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: