Connect your existing data sources

Twist's integrations make it easy to access analytics about your hardware business. Get access to a unified view by directly connecting all your data sources, or manually import data.

Google Sheets

Customer experience

Financial operations

AWS S3

Telematics/IoT

Servicing

Google Cloud

Telematics/IoT

Servicing

Firmhouse

Customer experience

Financial operations

Stripe

Financial operations

Recurly

Financial operations

Particle

Telematics/IoT

Comodule

Telematics/IoT

Salesforce

Customer experience

Servicing

Intercom

Customer experience

Zendesk

Customer experience

Our technical approach is both easy and flexible to allow for your business to be connected to insights as soon as possible. We offer hands on support where needed. 

Ingestion: Twist's ingestion pipeline supports multiple types of data sources and allows for data manipulation to perform operations such as aggregations

Processing: Distributed pipelines allow us to quickly launch new data processing procedures using a variety of techniques.

Storage: A high speed and easy to query data store forms the backbone of Twist. Using familiar technologies (Python & SQL) to make it accessible to people within Twist; and allows us to make use of a multitude of frontends.

Access/API: Solid API built on proven technologies provides a reliable place to deliver metrics to the client. We use a tried and tested pattern of development to ensure new datapoints are quick to add and deploy.

Our technical approach is both easy and flexible to allow for your business to be connected to insights as soon as possible. We offer hands on support where needed. 

Ingestion: Twist's ingestion pipeline supports multiple types of data sources and allows for data manipulation to perform operations such as aggregations

Processing: Distributed pipelines allow us to quickly launch new data processing procedures using a variety of techniques.

Storage: A high speed and easy to query data store forms the backbone of Twist. Using familiar technologies (Python & SQL) to make it accessible to people within Twist; and allows us to make use of a multitude of frontends.

Access/API: Solid API built on proven technologies provides a reliable place to deliver metrics to the client. We use a tried and tested pattern of development to ensure new datapoints are quick to add and deploy.

Our technical approach is both easy and flexible to allow for your business to be connected to insights as soon as possible. We offer hands on support where needed. 

Ingestion: Twist's ingestion pipeline supports multiple types of data sources and allows for data manipulation to perform operations such as aggregations

Processing: Distributed pipelines allow us to quickly launch new data processing procedures using a variety of techniques.

Storage: A high speed and easy to query data store forms the backbone of Twist. Using familiar technologies (Python & SQL) to make it accessible to people within Twist; and allows us to make use of a multitude of frontends.

Access/API: Solid API built on proven technologies provides a reliable place to deliver metrics to the client. We use a tried and tested pattern of development to ensure new datapoints are quick to add and deploy.

Our technical approach is both easy and flexible to allow for your business to be connected to insights as soon as possible. We offer hands on support where needed. 

Ingestion: Twist's ingestion pipeline supports multiple types of data sources and allows for data manipulation to perform operations such as aggregations

Processing: Distributed pipelines allow us to quickly launch new data processing procedures using a variety of techniques.

Storage: A high speed and easy to query data store forms the backbone of Twist. Using familiar technologies (Python & SQL) to make it accessible to people within Twist; and allows us to make use of a multitude of frontends.

Access/API: Solid API built on proven technologies provides a reliable place to deliver metrics to the client. We use a tried and tested pattern of development to ensure new datapoints are quick to add and deploy.

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