Data Connectors

Samsara customers can collect vast amounts of data and gain valuable insights into their connected operations using Samsara’s dashboard, Open APIs & Webhooks.

Integrating, replicating, and streaming this data to other systems is possible but can require work. You might have to export CSV files from the Samsara dashboard and import them into other systems manually, or you might have to engage technical resources to write code against Samsara's APIs and Webhooks. Samsara's Data Connectors make this easy to accomplish via plug-and-play UI-driven connections that don't require arduous manual processes or heavy investments in technical resources. There are 4 distinct types of connectors that are tailored to your different needs.

Power BI Connector

For your organization's data analytics and data visualization needs, you may use Power BI. Power BI can install Power Query Connectors to access data from different systems, such as Samsara, right within Power BI. Samsara offers a plug-and-play Power BI Connector that allows you to directly connect your Samsara data with Power BI without needing to write any code.

Learn more about the connector here.

Kafka Streaming Connector

For your organization's data streaming needs, you may use Kafka. Kafka is a data streaming solution that allows you to consume dense data in real-time, especially dense data such as asset locations. Samsara offers a Kafka Connector that allows you to stream your Samsara operations data real-time to easily build a historical data lake that can enable you to run AI/ML models, power real-time analytics, and enable custom applications. Learn more about the connector here.

Additional Details

• A Kafka cluster comprises servers known as brokers that manage and store streamed data.
• In this setup, data is organized into topics, which serve as distinct categories or feeds. Typically, each type of data has its own topic, allowing for a structured and organized data streaming environment. Each topic is further divided into partitions to enable parallel processing, with each partition potentially hosted on different brokers for enhanced distribution and scalability.
• Producers (including Samsara’s Kafka Connector) publish data to specific topics, and consumers (eg. downstream databases or apps) subscribe to topics to retrieve and process the data. This framework facilitates real-time data processing, efficiently managing high throughput with low latency, and providing a well-organized, scalable platform for handling streaming data.
• For a deeper dive on these concepts, read this article.

Kafka Deployment Options

There are several options you can leverage to set up and deploy a Kafka cluster. Some of the popular platforms that customers use to deploy a Kafka cluster include but are not limited to:

[Example] Streaming data from Samsara to Snowflake

Data Pipelining Connectors

You may want to take Samsara's data and replicate it into a database (e.g. Azure SQL DB) or a data warehouse (e.g. Databricks, Snowflake) to assist in removing your data silos and consolidate your data from several systems into one place. Data pipelining connectors allow you to centralize your data in one place and enable your organization to leverage your big data to derive insights and find opportunities for business efficiency.

Use a data connector from our App Marketplace that can replicate data with low-code/no-code required. Our list of data pipelining connectors includes Fivetran and Precog.

Point-to-Point Integration Connectors

You may want to build and maintain your two-way system integrations with drag-and-drop tools. Point-to-point integration connectors allow you to integrate Samsara with your key systems and design automated workflows with no technical expertise necessary, such as triggering an integrated workflow based on new Route Added or automating tasks in Samsara.

Our list of point-to-point integration connectors includes Zapier and Tray.io.