Want a more visual way to explore #openGauss?
DataKit provides a Web console for common tasks: database management, monitoring, logs, SQL development, diagnostics, and MySQL-to-openGauss migration.
A practical toolkit for getting hands-on with openGauss.
#InsideopenGauss
💡 Boost your AI model performance with #InsideopenGauss!
⚡ Hybrid scalar-vector retrieval
⏱ Recall hundreds of millions of vectors in milliseconds
🎯 +30% model QA accuracy
⚡ 20% faster indexing than the industry
Discover DataVec now!
🔗https://t.co/Az9XRp95uV
#openGauss
Boost your database game with #InsideopenGauss!
⚡ Balanced ops = max resource use
🟢 GC jitter ↓ 80% = smoother performance
💾 15–20% space savings + better I/O
Discover how oGEngine can optimize your apps.
#InsideopenGauss#OpenSource#DevTools
🔗https://t.co/5Sp1mdB3Gn
💡 Supercharge your data with openGauss!
High-frequency, data-sensitive, AP analysis, or data-intensive – hardware + software synergy unlocks ultimate performance.
#openGauss#Database#TechInnovation
💜 Meet openGauss – your open-source database for the digital era!
⚡ Optimized Kernel
⚡ Resource Pooling
⚡ Data Lifecycle Management
⚡ Enhanced AI Capabilities
🔗Learn more: https://t.co/5Sp1mdB3Gn
Future-proof your data infrastructure.
Run openGauss for the first time
Install.
Connect.
Query.
That's all it takes to get started——and maybe find your first small thing to improve.
#openGaussin60seconds
#openGauss, 2020 → 2026.
Not just new versions.
New workload patterns.
Single-node → distributed.
Static resources → resource pooling.
SQL workloads → vector search + HTAP.
Traditional HA → oGRAC architecture.
Built open. Ready for AI.
#openGaussExplained
Not sure which one to choose?
Start with the Installation Overview and pick the path that matches your goal.
Docs:
https://t.co/EIrwYmvZvB
#openGauss#OpenSource#Database#Developers
“I want to try openGauss. Where do I start?”
Start here: pick your setup first.
openGauss supports different deployment paths depending on what you want to do — quick testing, local learning, HA practice, or package-based installation.
🧵
4/ Prefer package-based deployment?
Use RPM installation.
Good for:
* Server environments
* Repeatable setup
* Ops-style deployment
* Teams that already manage software through packages
3/ Connect & contribute. 🤝Found an issue you like? Comment on it to connect with the maintainers. When your code is ready, submit your first PR!
Start small with a "good first issue" and join a global community of data innovators!
2/ Filter & focus. 🏷️ Use labels to filter issues by your interests—whether it is SQL, easy O&M, or AI-native capabilities. Once you find a task, read the description carefully to understand the requirements.
High availability, security, and reliability: 3 pillars of enterprise #databases.
As organizations scale with #opensource, maintaining these standards is key. #openGauss offers a compelling answer—delivering enterprise power at zero cost.
Explore more: https://t.co/5Sp1mdB3Gn
You don't need to understand openGauss to contribute to openGauss.
Start here:
• Fix a typo
• Improve a doc
• Pick a small issue
👉 https://t.co/SLGkCQrF1M