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ReadySet raises $29M to accelerate access to enterprise-scale app data – TechCrunch

ReadySet, a provider of database infrastructure to help developers build real-time applications, today announced that it raised $24 million in a Series A funding round led by Index Ventures with participation from Amplify Partners. Several angel investors also contributed, raising the total amount of ReadySet to $28.9 million — up from a previously undisclosed $4.9 million seed round.

According to co-founder and CEO Alana Marzov, ReadySet is facing a major challenge in the enterprise with delivering dynamic content while serving large, distributed customers. Current standard practice is to build custom query caching systems, but Marzov claims this can slow down engineering teams, increase costs, and cause outages at inappropriate times.

“Instead of rebuilding these similarly broken systems, developers need solutions that slot into their existing infrastructure and achieve unlimited read scaling,” Marazov told TechCrunch via email earlier this month. “With ReadySet, we aim to make the process of caching globally … as streamlined and automated as caching images in a content delivery system.”

ReadySet’s product has its origins in research that Marazov and the company’s other co-founder, John Gjengenset, did during their doctoral studies at MIT. Marzov was previously a cloud infrastructure researcher at Microsoft, where he worked on cloud networking and storage infrastructure technologies, while Gjengset was a senior software development engineer at Amazon Web Services.

At MIT, Marzoev and Gjengset lead an open source project called Noria, a streaming data-flow system designed to act as a fast storage back-end for web apps. After the project gained traction on GitHub, the two decided to refine it and market it as a managed service: ReadySet.

“Traditional databases that support the world’s most popular applications tend to catch fire when dealing with large data sets, complex queries or high request volumes – in other words, at the worst possible times, when products start to gain traction. gives,” said Marzov. “To tackle the infrastructure challenges that come with this development, companies scramble to hire teams of engineers with specialized skill sets who can help build and maintain custom, in-house solutions. ReadySet overcomes this problem by providing unlimited read scaling without requiring any code changes to integrate it into the application.”

Strengthening query back end

To take a step back, enterprises take advantage of many different types of databases to store, serve, and analyze their app data. By far the most common type are relational databases, which provide access to data points that are related to each other – as the name implies. Programming languages ​​called relational query languages ​​use algebra to interpret requests about data and then instruct a database management system or DBMS to execute the requests.

A relational query, or request, is a request to query data contained in two or more tables in a relational database.

ReadySet works like a database, but pre-computes and caches relational query results so that reading of data in the actual database is faster. The platform keeps cached results up-to-date as the underlying data, which is stored in a persistent “base table”, changes.

“At its core, ReadySet accelerates queries through a novel … caching engine that automatically keeps cached state up to date while supporting millions of reads per second with sub-millisecond latency on a single node,” The company claims in its press materials. “ReadySet slots in front of existing relational databases and … can be integrated into existing [apps] without code change. ,

Alternatives to ReadySet’s platform exist in the form of Materialize, an open source project similar to Noria, and key-value stores such as Memcached, Redis, and Amazon Elastic Cash. (Key-value stores record data in a “key-value” format, where the data is retrieved by a unique key or keys, optimized for reading and writing that data.) But one of Amplify Partners General partner Lenny Prause argues that both competing systems and key-value stores are not “feature complete” and require writing custom logic to work for relational database applications, unlike ReadySet.

“Over the past decade, we have seen applications become more dynamic, real-time and global, while innovation in data access technologies has lagged,” Prause told TechCrunch via email. “This has resulted in a heavy burden on engineering teams struggling with overly complex caching and/or database sharding architectures. We believe ReadySet provides a disruptive new approach to not only accelerating application performance , rather frees engineering teams from diligence.”

future expansion plans

ReadySet is currently in the pre-revenue stage, but the company is collaborating with a small number of potential customers as design partners. As ReadySet works toward a more generally available product, funded in part by Series A proceeds, brands will be able to sign up for Early Access, Marzov says.

If surveys are any indication, there’s an enterprise-sized appetite for solutions like ReadySet. In a 2021 survey by 451 Research, commissioned by Imuta, 55% of companies reported that their data is often out of date or out of date at the time of consumption or analysis. A separate survey by Dimensional Research for Fivetran reveals that most companies, meanwhile, experience problems with pipelines for their data to break more than once per month.

“Our short-term objective is to vastly improve the speed and usability of caching. Our long-term vision is that caching is something no developer should ever think about again. You simply hook up ReadySet to your application. And it helps to understand what needs to be cached and when,” Marzov said. “Internet user growth set a record in the pandemic, but the performance of the database remained the same. We are responding to the tremendous demand among enterprise and rapidly growing companies seeking a way to rapidly meet growth goals with scalable caching technology. ,

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