Volcano Engine DBCopilot released: Using AI to solve data "storage, management and retrieval"
DBCopilot, the first intelligent database assistant in China, leads a new revolution in database management.
Core content:
1. DBCopilot fully covers the three core scenarios of data storage, management, and acquisition
2. Natural language interaction, intelligent diagnosis and optimization, and improve the intelligence level of database
3. Simplify database operations from hours to minutes and improve efficiency
Today, Volcano Engine officially released the first database intelligent assistant in China - DBCopilot, which is now available on the Volcano Engine database workbench DBW console. As a database-specific AI "co-pilot", DBCopilot uses AI technology to cover the three core scenarios of data storage, management, and acquisition for the first time , comprehensively solving various problems in users' cloud use, daily database operation and maintenance, database development, and data value discovery, and improving the intelligence level and efficiency of database use.
The Volcano Engine database intelligent assistant DBCopilot combines basic algorithms with Doubao's large model capabilities, changing the way database platforms interact, allowing professional operation and maintenance personnel, database administrators (DBAs), developers, and business personnel to conveniently use cloud databases through natural language. When storing data , you only need to give instructions like chatting to easily complete complex operations such as instance management; in the data management stage , the system is online 24 hours a day, and intelligent diagnosis, automatic optimization, and closed-loop repair can actively provide services, making database management no longer hectic; when retrieving data , complex operations such as data query and chart generation can be upgraded from "hourly level" to "minute level".
Data storage: Say goodbye to "operation confusion", smart guidance is super worry-free
When using cloud databases, we often encounter problems such as difficulty in finding knowledge and chaotic instance management . Now, we only need to ask questions like chatting, and DBCopilot can provide clear solutions on demand, making complex operations worry-free and labor-saving.
Natural language questions: Ask technical or product questions directly in everyday language and get professional answers in seconds without having to look up information yourself.
Efficient instance management: Easily query and inventory database instances, and see the data status at a glance, eliminating management blind spots;
Intelligent migration planning: "Migration Planning Master" will be launched soon. It will help you simulate the best migration path, avoid risks, and ensure smooth and efficient database migration, just like a navigation.
Taking the various issues such as "not sure how to use the cloud database" as an example, you only need to send relevant natural language questions to DBCopilot to obtain targeted solution guidance.
Data management: The system "actively serves", and the smart butler is super reliable
In database management, challenges often encountered are: slow response to faults, troubleshooting relying on luck, and low optimization efficiency . To address these problems, DBCopilot can perform intelligent diagnosis, autonomous problem scanning, and automatic repair, allowing professional-level database management to change from "relying on manual experience" to "system proactive service", making the entire process worry-free and efficient.
Smart Diagnosis: "Smart Diagnosis Consultant" monitors database load in real time, accurately locates potential problems and risks, and the risk status is clearly visible;
Database optimization: "Optimization Patrol Manager" actively scans your database operations, identifies inefficient SQL in real time and provides one-click optimization solutions to ensure online performance;
Automatic repair: The "closed-loop execution system" automates the entire process, from problem discovery, solution generation to repair execution, making management efficient and worry-free.
For example, if you want to know "what storage bottlenecks my instance has", "what anomalies occurred in the past day", or "how should I optimize slow SQL", you can get detailed and rich analysis and summary with just one question, and the entire diagnostic process is completed in an instant.
Data acquisition: from "hieroglyphics" to "charts", smart and efficient
When you encounter difficult syntax and slow error correction when writing SQL , or face problems such as not knowing how to write SQL and difficulty in data visualization when analyzing data , DBCopilot can generate SQL and intelligent error correction from natural language, and generate charts and key insights from data results with one click, making the difficulty of database operations go from "taking a driver's license test" to "taking a Didi".
Natural language generation of SQL: "AI SQL Assistant" supports daily language input (such as "find the products with the highest sales this month") and automatically generates accurate SQL statements without the need to remember complex syntax;
SQL intelligent error correction: "Error Handling Master" diagnoses errors in real time, directly locates problems and provides modification suggestions to efficiently solve syntax errors;
Data visualization: "Smart visualization" converts result data into clear charts with one click, quickly obtaining key insights;
Data lineage tracking: The "Data Lineage Map" that will be launched soon will visually display the data source, processing process and application path, making the flow relationship clear at a glance.
Taking the expectation of "querying the top 10 products with the largest purchase volume" as an example, only one natural language instruction is needed to directly generate and execute SQL, and the results can also automatically generate statistical charts. When an error occurs in the input SQL during the process, automatic error correction can be triggered to efficiently repair the problematic SQL.
Imagine this scenario happening:
When the CFO is on a business trip, he uses his mobile phone to query the national inventory. DBCopilot responds within seconds, automatically generates charts and sends them directly to the WeChat group.
During the lunch break of the operation and maintenance supervisor, DBCopilot quietly completed the inspection of 200 databases, reported any problems found and provided solutions immediately;
The marketing director enters "new user growth" and DBCopilot immediately generates a visual report to provide strong support for decision-making.
