Reflect launched the public beta of its data visualization-as-a-service platform, enabling businesses to drastically reduce the time and resources needed to build analytics and data products. Within minutes, a new user can connect to their existing data sources, use the Reflect web app to design interactive views of their data, and embed them into their application or service. Anyone can sign up for instant access at reflect.io.
We’re experiencing a big data hangover. Businesses have invested in collecting massive amounts of data, but creating value from that data is really hard,” says Alex Bilmes, CEO of Reflect. “Traditional analytics and business intelligence providers are struggling to keep up with modern use cases. People want access to data in the applications they already use, and companies want to deliver insights as part of their user experience. Until today, nothing on the market has allowed them to do that–or do it easily. Reflect allows developers to deploy visualizations at scale in a matter of minutes.
Reflect’s embedded-first focus, lightweight data integration model, and usage-based pricing has attracted teams who are looking to add data exploration capabilities to their products and services. The open beta comes after nearly a year of direct feedback from companies like GM, Barracuda Networks, Zendesk, Simply Measured, TUNE, and thousands of developers. Reflect continues to set itself apart from existing players in the data and analytics space by investing heavily in the developer community, releasing the GitHub Report Card earlier this year.
Reflect allowed us to connect to our Redshift warehouse and expose data to our clients without having to build reporting APIs or manage user permissions,” said Lucas Brown, Chief Product Officer of TUNE. “We were able to ship our product in days instead of months.”
Since announcing a $2.5 million seed raise last year, Reflect has increased its headcount to 10 people and focused solely on building product. The public beta comes with new features including more advanced customization options, team collaboration, authoring tools for non-technical users, and additional data integrations that include Microsoft SQL Server, CSV, and an open API spec.
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