Types of Sources

Lyftrondata integrates with more than 300+ data sources. Based on their implementation, these are broadly categorized as:

Marketing & Business Analytics: This category includes ad-based applications such as Google Ads, Facebook Ads, and LinkedIn Ads, which provide conversion data and insights to drive business objectives. It also includes Sources such as HubSpot, Marketo, and Mailchimp, which offer a marketing platform to engage with customers and provide them a better experience.

Sales & Commerce Analytics: This category includes customer relationship management (CRM) applications and helpdesk solutions, which help you manage customer interactions, grow your business, and provide better customer service. Some examples are Salesforce, Zendesk, and Freshdesk.

Finance & Accounting Analytics: This category includes applications that offer a platform to manage your accounting needs such as payments, billing requirements, and subscription management. For example, Stripe, Chargebee, and Recurly.

Database and File System Sources

Database Sources: Lyftrondata supports popular relational databases such as MySQL, PostgreSQL, and Oracle, and non-relational database sources such as Amazon DocumentDB, Elasticsearch, and MongoDB. Lyftrondata supports both generic implementations and variants, such as Google Cloud or Amazon RDS-hosted instances.

Data Warehouse Sources: These are sources that enable scalable analysis over vast amounts of data. Lyftrondata supports the Amazon Redshift and Google BigQuery data warehouses.

File Storage Sources: These sources store data in files that are organized in folders. The folders are further arranged in a hierarchy of directories and sub-directories on a hard drive or a network storage device. Some of the supported file storage sources include Amazon S3, Google Drive, and Google Sheets.