Hevo Data Inc., a startup helping companies transfer business data from internal systems to their analytics environments for processing, today announced that it has closed a $30 million funding round. 

Sequoia Capital India was the lead investor in the round. The investment follows an $8 million raise that Hevo Data announced last July. The company has raised a total of $43 million in funding to date. 

Hevo Data, based in San Francisco and Bangalore, offers a cloud platform that helps companies turn their business data into useful insights. Before business data can be analyzed, it has to be moved into an analytics platform such as Amazon Redshift or Snowflake. The task can be complicated because a company’s information is often scattered across numerous different systems, each of which has to be connected to the analytics environment where processing is carried out.

Hevo Data’s platform simplifies the task. The platform provides the ability to create workflows, known as data pipelines, that automatically transfer information from a company’s systems of record to its analytics environment. The startup provides over 100 connectors for Amazon Redshift, Snowflake, open-source databases and popular software-as-a-service offerings. 

Customers can use Hevo Data’s connectors to create data pipelines without writing any code. After a pipeline is deployed, the startup’s platform eases day-to-day maintenance by automating a number of common management tasks. 

Hevo Data detects if errors emerge in the records that a company is sending to its analytics environment and generates an alert. Affected records are automatically set aside until the issue is resolved, the startup says. 

Hevo Data also automates the management of schema changes. A schema is a blueprint that defines how a dataset is organized. For example, a retailer might create a blueprint that organizes inventory information by placing data from each of its stores in a separate database column.

Changes to the schema, such as the addition of a new column to the inventory database, can potentially cause configuration issues. Hevo Data says its platform automates the management of schema changes to ensure information continues to flow reliably to a company’s analytics environment.

Standardizing a company’s data pipelines on a single platform has several potential benefits. 

Moving information from systems of record to an analytics environment often involves scripts and other custom code that have to be created from scratch in some cases. Setting up all the necessary components can take months. In contrast, Hevo Data says, its platform allows companies to create data pipelines in a few minutes.

Simpler code maintenance is another potential benefit. The systems from which a company pulls data for analysis make information available via application programming interfaces. APIs change over time, which requires firms that rely on internally developed data pipelines to update their code occasionally. Reducing the amount of custom code in a firm’s data pipeline eases maintenance.

Hevo Data says customers using its platform can transfer up to millions of records per minute. The startup has more than 1,000 customers, including Salesforce.com Inc.’s MuleSoft division and fast-growing database startup Neo4j Inc., which closed a $325 million funding round earlier this year.

Following its latest funding round, Hevo Data reportedly plans to bring multiple new products to market. One of the offerings in the works is a tool that, the startup told TechCrunch, will help companies run analyses on the information they collate using its platform’s data pipeline features.

Image: Hevo Data