DataGrip User Experience Survey: Insights and Performance Trends
Analysis of 1,420 developer responses regarding database tools, AI integration, and usability.
1Survey Scope and Demographics
The third DataGrip survey gathered feedback from 1,420 participants, primarily software developers and engineers. With 74% of respondents possessing over five years of professional experience, the data reflects a highly skilled user base. This year, the inclusion of in-product notifications broadened the demographic reach, significantly increasing the representation of built-in database tool users.
2Tool Usage and Preferences
Respondent distribution shifted notably, with 44% now using built-in database tools exclusively, compared to only 5% in previous iterations. Meanwhile, 33% utilize both DataGrip and integrated IDE tools, while 22% rely solely on DataGrip. PostgreSQL remains the dominant database choice at 77%, followed by MySQL at 42% and SQLite at 28%.
3Overall Satisfaction Metrics
The aggregate Customer Satisfaction Score (CSAT) reached 84.7%, a slight decline from the 87.5% reported in the second survey. Satisfaction remains highest among dedicated DataGrip users at 87.9%. The overall dip is attributed to the larger influx of users relying exclusively on built-in tools, who reported a lower satisfaction rate of 81.4%.
4Performance and Introspection Challenges
Performance received a 79.7% CSAT, with schema introspection identified as the primary bottleneck by 44% of dissatisfied users. Other critical concerns include IDE freezes and high resource consumption. To mitigate these, the team recommends adjusting introspection levels and deselecting unused schemas to reduce background processing overhead and improve overall responsiveness during daily tasks.
5Usability and Feature Discoverability
Ease of use scored 77.0%, marking it as the lowest-rated aspect of the survey. Nearly half of the respondents struggling with usability cited feature discoverability as a major hurdle. To address this, recent updates introduced interactive onboarding tours and redesigned database explorer states, while the upcoming 2026.3 release will feature a dedicated output window.
6Feature Completeness and Development
Feature completeness earned an 80.0% CSAT, with users requesting more robust import/export pipelines and advanced schema migration tools. Recent improvements include two-session mode, which prevents metadata refreshes from locking query execution, and data source templates for cross-IDE settings. The team continues to prioritize these workflows based on direct feedback from the YouTrack platform.
7Database and SQL Support
Support for data sources and SQL dialects remains a strong point, achieving an 86.2% satisfaction rating. Recent releases expanded support for PostgreSQL 18, ClickHouse, and Snowflake. Current development efforts are focused on improving MariaDB and DuckDB integration, ensuring that the IDE keeps pace with the evolving requirements of modern, multi-database development environments.
8AI Adoption in Workflows
Approximately 61% of respondents regularly use AI features within JetBrains IDEs, with 70% applying them to database-related tasks. While 45% of users rely exclusively on conversational assistants, 39% have begun integrating AI agents into their routines. JetBrains AI Assistant and GitHub Copilot remain the most widely adopted tools among the surveyed developer community.
9AI Satisfaction and Limitations
AI-powered features received a 41.6% CSAT, with 51.5% of users remaining neutral. Primary concerns include the accuracy of AI responses and a lack of deep understanding regarding complex database schemas. Many users who do not utilize these features cited a preference for manual workflows or the use of external AI tools outside the IDE.
10Security and Agent Control
To address security concerns, JetBrains introduced a granular permission layer for AI agents in version 2026.1. This mechanism requires explicit user approval for database operations, including those initiated via CLI. This ensures that developers maintain full control over data access and modification, mitigating risks associated with automated SQL generation and execution tasks.
11Future AI Integration Strategy
The upcoming JetBrains Air plugin, currently in Early Access, provides a centralized interface for managing multiple AI agents. This tool allows users to track session progress and review changes without leaving the IDE. Future updates will further enhance context awareness by allowing agents to utilize comprehensive query history for more accurate, personalized assistance.
12Strategic Focus and Conclusion
The survey results underscore a transition toward more integrated AI-driven database management. By prioritizing performance optimizations for schema introspection and improving feature discoverability, the team aims to bridge the satisfaction gap. Continuous feedback loops through YouTrack and EAP participation remain essential for aligning future product releases with the specific needs of experienced developers.