Databases are an important part of doing business in the digital world, but not every organization has to succeed with them. In the 2019 Vanson Bourne survey, companies said they had delayed legacy data technologies – particularly communication data systems. Related data was not designed with the new app in mind, respondents said – making it sometimes difficult to adapt and work with. According to the survey, 72% of companies believe that relying on data-related data – including designs built around them – limits their ability to implement digital transformation projects.
Unsurprisingly, companies are embracing data mining alternatives, such as NoSQL. Due to the lack of scalable solutions, they are looking for modern systems – including cloud-based systems – that support scalability while reducing costs and accelerating development. Gartner predict that 75% of all data collection will be moved to the cloud service by 2022 – indicating a change.
“The data industry is facing a major transformation for a new business model,” said Yury Selivanov, general manager. EdgeDB, The startup of creating the next database structure, TechCrunch told the email. “Obviously there is a long tail of small and medium-sized businesses that need to quickly build software and then host their data in the cloud, especially in an efficient and economical way.”
Selivanov drew on EdgeDB, which he founded in 2019 Elvis Pranskevichus, as one of the solutions to the heritage data problem. EdgeDB’s open source architecture is communication, but Selivanov says it was designed to solve basic design flaws that make data collaboration – both communication and NoSQL – unnecessary for companies.
“EdgeDB has a very ambitious goal: to re-evaluate the contact information data with a focus on the developer experience,” Selivanov said. – I am very different from that. While most data collection companies are concerned about scale, we want to make real developers more productive when building EdgeDB compared to building on any other data, be it SQL or NoSQL.
When EdgeDB was launched, Selivanov and Pranskevichus took their experience from MagicStack, a Toronto-based consulting software, and helped integrate it in 2008. 2016, after seeing the database challenges in Many of the MagicStack customers met, Selivanov said that he and Pranskevicus realized that the way forward was to become a productive company.
EdgeDB version 1.0 was quietly launched in February, and comes with a combination of access control and a inquiry language, EdgeQL, that Selivanov claims 10 to 1,000 times faster than traditional SQL (depending on operation). Now the work is EdgeDB 2.0, which will introduce UI data collection and experimental support for WebAssembly, an open source binary program for web browsers.
As is the case with most beginners involving open source, EdgeDB wants to make money with a managed service built on GitHub-hosted code. The upcoming EdgeDB Cloud will provide “rich” graphical UI and support for terminal commands to create for example cloud data, Selivanov says, as well as integration on the front page of Vercel software development.
“Our roadmap will track slow queries and suggest how to improve data format or queries. It will provide performance-based search and key integration interactions with services like DataDog,” Selivanov added. “We do not yet have them. work-related learning machine, but we are thinking that we can directly build the scientific capabilities of some of our data… We have no concrete plans at the moment, but this is an exciting and direct future for us.
EdgeDB is still a major revenue earner, but Selivanov expects the company to start producing cash in Q4 2022, the starting point for the EdgeDB Cloud. So far, 10 staff, San Francisco, California-based EdgeDB has raised $ 4 million from Accel and its angel investors including Greg Brockman, founder and CTO of OpenAI.
“Some of the places where we will compete with different companies for brain development, such as Prisma, Supabase and maybe PlanetScale,” Selivanov admitted when asked who he sees as the top competitors. “[But] The EdgeDB value proposition is unique as we are significantly improving data exchange across multiple platforms at the same time … We are already seeing a successful fundamental movement as people begin to build real EdgeDB product applications. We expect this attraction to accelerate as soon as we launch our essential product and mother Vercel integration within a month. “