Beijing, January 26, 2024 - In this data-driven era, the importance of efficient and accurate data analysis tools for enterprise decision-making is self-evident. AsDataFocus, China's leading AI search-based data analytics platform, has been committed to providing users with smarter and more agile data analysis solutions。Today,DataFocus held a grand V6 product upgrade conference in Hangzhou, demonstrating its major breakthrough in the field of database natural language queries to users around the world.
The theme of this conference is ".Smarter, strongerThis is not only the best interpretation of DataFocus V6, but also indicates that the data analysis industry will usher in a disruptive change. The release of DataFocus V6 marks the leapfrog development of data analysis tools from traditional drag-and-drop analysis to intelligent and natural language query methods.
At the beginning of the conference, the founder of DataFocus reviewed the company's development history, from:Since its establishment in 2014, it has undergone many product upgrades。Back inWhen an early version of DataFocus was released in 2018, it was started with "redefining BI" as the starting point, with a strong commitment to improving the way BI products interact; DataFocus v3 for 2019 was released, which is also the first stable and reliable commercial version for the market; After that,DataFocus Cloud went live in 2021, creating a precedent for China's first SaaS-style BI product with AI search as the mainstream interactive method; And in the first year of the large model--In 2023, DataFocus released the beta version of Xiaohui, the first large model dedicated to the data analytics vertical, paving the way for pure natural language queries for databases.
"Databases are the foundation of the modern software industry, and almost all businesses are related to databases," said the founder of DataFocus. In the field of data analysis, understanding SQL has become a necessary skill, which greatly limits the value of enterprise data. Over the past 8 years, DataFocus has maintained a constant pace of innovation and progressToday, we've officially solved the problem of asking questions to the database in natural language!
At this press conference, DataFocus launched 5 major updates in one go.
First of all,DataFocus's core product, Focus Search, has been upgraded to 2Version 0。Focus Search is a relational database parsing engine that accurately converts users' natural language questions into various types of SQL statements. At present, it supports almost all mainstream databases on the market, such as MySQL, PGSQL, Oracle, SQL Server, ClickHouse, Impala, Presto, and Doris. focus search 2.0, compared with the first generation of products, the resolution speed is faster and the fault tolerance is better. It can easily support concurrent queries by 10,000 people, and the throughput is nearly 10,000 times that of the large model and the resolution speed is nearly 1,000 times that of the large model under the same resource configuration.
The newly upgraded "Xiaohui" AI language model has become the biggest attraction of this upgrade。From the beta version to the official version, Xiaohui has completed a gorgeous turnaround, with the ability to recognize and reason about intent in the vertical field of data analysis, which means,Xiaohui can understand the user's query intent more deeply, from text parsing to preliminary understanding intent, and provide users with more accurate and personalized data analysis services
DataFocus has also launched DataSpring 1., a real-time data ETL tool0。DataSpring ETL is an integrated ETL engine built on Flink that can be seamlessly integrated with DFC or deployed independently. DataSpring is more powerful than the widely deployed older Kettle tools, with newer architectures and more powerful performance. It is especially suitable for scenarios with massive streaming data.
In addition to updates such as upgrades to AI language models,DataFocus V6 also integrates with Lake House, a powerful computing platform that provides unmatched computing power for data analysis. With the addition of the cloud engine, DataFocus V6 is more comfortable in processing big data, and the query speed, analysis depth, and concurrent processing capabilities have been significantly improved. ThisIt will bring users a smoother and more efficient data analysis experience.
After that, Dory, a senior data analyst at DataFocus, focused on demonstrating the functions of the full-featured version of DataFocus V6 and in-depth interpretation of the functions and features of the V6 version. Dory passesFrom data access to analysis results, a complete data analysis link is demonstrated in series, showing Focus Search 20 The significant improvement of parsing speed, Xiaohui's intelligent analysis intent recognition ability, and the efficient preprocessing function of DataSpring ETL in massive streaming data scenarios, etc. This ability to analyze data in one place impressed the audience.
At the press conference, the founder of DataFocus also mentioned that in the past 8 years, DataFocus has always maintained the pace of innovation and progress. Starting from the definition of a new category of search-based BI, after 8 years of iteration and developmentA total of 457 minor versions have been released and a total of 7,956 bugs have been fixed, always focusing on bringing users a more intelligent and smooth data analysis experience。This kind of stubborn user experience, the craftsman spirit of repeatedly polishing a product for ten years, is becoming more and more valuable in today's impetuous society.
The launch event also previewed a delightAn exciting new feature – FocusGPT。In the era of rampant large models, many people have used OpenAI's advanced data analysis capabilities. This kind of method that requires users to upload all the analysis data to the large model and relies on invoking python ** for analysis is difficult to meet the needs of enterprises. The founder of DataFocus said: "FocusGPT, a data analysis agent based on large models and Focus Search--- is a replacement version of OpenAI's advanced data analysis, which does not need to upload data to large models, and can analyze millions or tens of millions of data, and can also be used by enterprise-level users." ”FocusGPT will further lower the threshold for users' data analysis, and has been optimized in all aspects such as computing speed, resource consumption, and data security, making it more suitable for enterprise-level use cases.
Finally, the founder of DataFocus thanked the guests and officially announced that all 5 upgraded products have been officially released online. Visitors who are interested in DataFocus products are encouraged to contact customer service to book a trial.
The DataFocus V6 new product launch conference brings a feast of technology to the field of data analysis, and also provides a more intelligent and efficient solution for future data analysis. It not only showcases DataFocus's major breakthrough in artificial intelligence and computing power, but also heralds a new revolution in the data analytics industry. We believe that with the wide application and continuous upgrade of DataFocus V6, it will further lower the threshold for users' data analysis and widely help outstanding enterprises in various industries to implement digital transformation.