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As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
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Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
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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.
Insightly is a cloud-based customer relationship management (CRM) software that helps businesses manage their sales, marketing, and customer service activities. It provides a centralized platform for managing customer interactions, tracking leads and opportunities, and automating workflows. Insightly also offers project management tools, allowing teams to collaborate on tasks and projects, and track progress in real-time. The software integrates with popular business applications such as Google Apps, Office 365, and Mailchimp, making it easy to streamline workflows and improve productivity. With Insightly, businesses can gain valuable insights into their customers and improve their overall customer experience.
Google Sheets is a cloud-based spreadsheet tool that allows users to create, edit, and share spreadsheets online. It is a part of the Google Drive suite of productivity tools and is accessible from any device with an internet connection. Google Sheets offers a range of features that make it a powerful tool for data analysis, project management, and collaboration. Users can create and format spreadsheets, add formulas and functions, and create charts and graphs to visualize data. Google Sheets also allows users to collaborate in real-time, making it easy to work on projects with others. Users can share spreadsheets with specific people or make them public, and can control who has access to edit or view the document. Additionally, Google Sheets integrates with other Google tools such as Google Forms, allowing users to collect data and automatically populate it into a spreadsheet. Overall, Google Sheets is a versatile and user-friendly tool that can be used for a variety of tasks, from simple calculations to complex data analysis.
Insightly's API provides access to a wide range of data related to customer relationship management (CRM) and project management. The following are the categories of data that can be accessed through Insightly's API:
1. Contacts: This includes information about individuals or organizations that are associated with a company, such as their name, email address, phone number, and job title.
2. Organizations: This includes information about companies or other types of organizations, such as their name, address, and industry.
3. Opportunities: This includes information about potential sales opportunities, such as the name of the opportunity, the expected revenue, and the stage of the sales process.
4. Projects: This includes information about ongoing projects, such as the project name, description, and status.
5. Tasks: This includes information about tasks that need to be completed as part of a project, such as the task name, due date, and status.
6. Events: This includes information about events that are scheduled, such as the event name, date, and location.
7. Notes: This includes information about notes that have been added to a contact, organization, opportunity, project, or task.
8. Emails: This includes information about emails that have been sent or received by a contact or organization.
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.
