Hevo Data Closes $ 30 Million Funding Round to Deliver Data Pipelines in the Cloud
Hevo Data Inc., a startup that helps companies move business data from their internal systems to their analytics environments for processing, today announced it has closed a $ 30 million funding round.
Sequoia Capital India was the primary investor in the round. The investment follows an increase of $ 8 million announced by Hevo Data 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 businesses turn business data into insight. Before business data can be analyzed, it must be moved to an analysis platform such as Amazon Redshift or Snowflake. The task can be complicated because a company’s information is often dispersed across many different systems, each of which must be connected to the analytics environment in which processing is performed.
The Hevo Data platform simplifies the task. The platform provides the ability to create workflows, called data pipelines, that automatically transfer information from a company’s registration systems to its analytics environment. The startup provides more than 100 connectors for Amazon Redshift, Snowflake, open source databases, and popular software as a service offerings.
Customers can use Hevo Data connectors to create data pipelines without writing code. Once the pipeline is deployed, the startup’s platform facilitates day-to-day maintenance by automating a number of common management tasks.
Hevo Data detects if errors occur in the records that a company sends to its analysis 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 plan that defines how a set of data is organized. For example, a retailer can create a master plan that organizes inventory information by placing the data for each of its stores in a separate database column.
Changes to the schema, such as adding a new column to the inventory database, can potentially cause configuration issues. Hevo Data claims that its platform automates the management of schema changes to ensure that 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.
Transferring information from recording systems to an analysis environment often involves scripts and other custom code that must be created from scratch in some cases. It can take months to configure all of the necessary components. In contrast, according to Hevo Data, its platform allows companies to build data pipelines in minutes.
Simpler code maintenance is another potential benefit. The systems from which a business extracts data for analysis make the information available through application programming interfaces. APIs change over time, forcing companies that rely on in-house developed data pipelines to update their code from time to time. Reducing the amount of custom code in an organization’s data pipeline makes maintenance easier.
Hevo Data claims that customers using its platform can transfer up to millions of records per minute. The startup has more than 1,000 clients, including Salesforce.com Inc.’s MuleSoft division and fast-growing database startup Neo4j Inc., which closed a Funding of $ 325 million earlier this year.
Following its last funding round, Hevo Data reportedly intends to market several new products. One of the current offers is a tool which, the startup Recount TechCrunch will help businesses perform analysis on the information they collect using the data pipeline features of its platform.