Sync Cassandra Data to CallRail in Minutes

Last updated: June 17, 2025
Ensure Data Quality
Cassandra
+
CallRail
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  • Customer Since:
    May, 2023
  • Customer Since:
    July, 2018
  • Case Study
    Customer Since:
    August, 2019
  • Customer Since:
    November, 2017
  • Customer Since:
    December, 2021
  • Case Study
    Customer Since:
    January, 2025
  • Customer Since:
    September, 2017
  • Customer Since:
    March, 2022

Table of Contents

  • About Cassandra
  • About CallRail
  • Popular Use Cases
  • CallRail's End Points

About Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

About CallRail

CallRail provides businesses with tracking phone numbers that they can use to gather valuable customer interaction data from phone calls. This includes the source of the call - an advertisement on social media, for example - as well as information about the callers themselves. Additionally, once a call is completed, CallRail automatically generates a transcript of the call. By gathering this data, CallRail allows businesses to score their leads more easily and gauge the effectiveness of different marketing campaigns.

Popular Use Cases

Bring all your Cassandra data to Amazon Redshift

Load your Cassandra data to Google BigQuery

ETL all your Cassandra data to Snowflake

Move your Cassandra data to MySQL

Bring all your CallRail data to Amazon Redshift

Load your CallRail data to Google BigQuery

ETL all your CallRail data to Snowflake

Move your CallRail data to MySQL

CallRail's End Points

CallRail Companies

Create separate companies with different configurations and tracking numbers. Then, you can retrieve information like the company’s name, creation date, lead scoring settings and company ID. This will allow you to track each different parameter in your analytics.

CallRail Users

Track any users who have access to your call data at various permission levels. This field provides you with contact information about the user - including their name, email, user ID, role and company - so that you can integrate your user and company data for analysis.

CallRail Accounts

Retrieve an account’s name and ID and choose whether or not to enable outbound call recording. Since this is the top level object for CallRail, you can also use that account ID to integrate data - such as “Company” or “Tracker” - that is generated by any lower level object within that account.

CallRail Integrations

Retrieve data from other data sources by integrating CallRail data with third party tools. The data in this field includes the name of the third party tool being integrated, the type of integration, its status, the unique integration ID, and associated companies. CallRail can use all of this data to provide more robust marketing analytics.

CallRail Trackers

Gather call data from tracking numbers that can either be linked to a specific source or associated with a particular visitor. This field can retrieve a variety of data from those calls, including the tracker ID, tracking numbers and associated companies. This information can help you qualify leads and gauge the effectiveness of marketing campaigns.

CallRail Calls

Retrieve data on an individual call, including the duration, source, phone number and status i.e., whether it was answered, missed, etc. Additionally, you can retrieve contact information for the caller, including their name, phone number, and whether or not CallRail rates the call as having provided a good lead.

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