# Entry
Databases are no longer just places to store application records. They currently support real-time analytics, embedded SQL, caching, monitoring, replication, AI agent storage, and full application backends.
In this article, we will look at 10 open source GitHub repositories that are popular, practical, and loved by the developer community. These tools are free to explore, simple to test locally, and elastic enough to deploy as your own self-managed server if needed.
Whether you’re building a web app, analytics dashboard, AI product, or distributed system, these repositories will assist you understand the newfangled database ecosystem and choose the right tool for your next project.
# 1. Click Home
ClickHome is a real-time analytical database management system designed for brisk analytical queries on large-scale data.
It is widely used in dashboards, logs, event analytics, observability, and business intelligence workloads where query speed matters.
Best for: Real-time analytical databases
Why is it useful:
- High-performance analytical queries
- Great for bulky data workloads
- Useful in dashboards and reporting systems
- A good choice for real-time analytics platforms
# 2.DuckDB
DuckDB is an intra-process, analytical SQL database management system. It is designed to run in an application, notebook or local environment without the need for a separate database server.
This is especially useful for data scientists, analysts, and engineers who want to query local files, work with tabular data, or perform quick SQL-based analyses.
Best for: Local SQL analytical processing
Why is it useful:
- Runs inside an app or notebook
- Perfect for local data analysis
- Works well with files like CSV and Parquet
- Elementary configuration with powerful SQL support
# 3. Supabase
Supabase is a Postgres development platform that provides developers with a dedicated Postgres database along with tools for authentication, APIs, storage, and real-time features.
It is popular with web, mobile, and AI developers who want the power of Postgres combined with a newfangled development experience.
Best for: Building applications with Postgres
Why is it useful:
- Built on PostgreSQL
- Includes database, authentication, APIs, and storage
- Great for web and mobile applications
- A useful alternative to building backend services from scratch
# 4. Redis
Redis is a high-speed in-memory data store used for caching, real-time applications, queues, session storage, and more.
It is widely used by developers creating high-performance applications that require quick access to frequently accessed data. Redis also supports data structures and newfangled query exploit cases, making it more than just a straightforward cache.
Best for: Real-time data caching and applications
Why is it useful:
- Very brisk in-memory performance
- Great for caching and storing sessions
- Useful for queues and real-time systems
- Supports multiple data structures
# 5. Prometheus
If you are building production systems, Prometheus is one of the most critical tools to understand in terms of observability and monitoring.
Why is it useful:
- Collects and stores records
- Powerful query language for monitoring
- Commonly used in cloud-native systems
- Great for alerts, dashboards and infrastructure visibility
# 6. Speed
Speed is a database clustering system for horizontally scaling MySQL.
It helps teams perform huge MySQL deployments by supporting sharding, routing, replication, and scaling. This is useful when a single MySQL database is no longer sufficient for growing application loads.
Best for: Scaling MySQL databases
Why is it useful:
- Helps scale MySQL horizontally
- Supports sharding and clustering
- Useful in huge production systems
- Designed for high traffic applications
# 7. LiteFS
LiteFS is a FUSE-based file system for replicating SQLite databases across a cluster of machines.
SQLite is straightforward and powerful, but tends to prioritize locality. LiteFS helps extend SQLite to distributed environments, enabling replication across multiple machines.
Best for: SQLite database replication
Why is it useful:
- Adds replication to SQLite
- Useful in distributed applications
- Maintains the simplicity of SQLite
- Good for edge applications and lightweight deployments
# 8. Open Viking
OpenViking is an open source context database for AI agents. It manages memory, resources, and skills through a file system-like structure.
As AI agents become more common, tools like OpenViking become useful for organizing the context an agent needs to perform tasks, remember information, and work with various resources.
Best for: Context databases for AI agents
Why is it useful:
- Designed for the memory and context of an AI agent
- Organizes memory, resources and skills
- Supports providing hierarchical context
- Useful for agent-based AI applications
# 9. pgAdmin
pgAdmin is an open source administration and development platform for PostgreSQL.
It provides developers and database administrators with a graphical interface to manage databases, write queries, check schemas, and work with PostgreSQL more easily.
Best for: PostgreSQL database administration
Why is it useful:
- Feature-rich PostgreSQL management tool
- Useful for writing and testing queries
- Helps you check tables, schemas and databases
- Great for developers and database administrators
# 10. Admin
Administrator is a database management tool packaged in one PHP file.
It’s lightweight, simple to implement, and useful when you need a straightforward way to manage databases without having to set up a huge administration platform.
Best for: Lightweight database management
Why is it useful:
- Elementary implementation in one file
- Delicate database administration
- Useful for quick access to the database
- Supports multiple database systems
# Final thoughts
The database ecosystem has expanded far beyond customary relational databases. Nowadays, databases are not just a back-end detail. They are one of the most critical elements of creating reliable, real-time and effective web applications.
I’ve seen many developers focus mainly on the frontend, using a basic backend and paying little attention to database management. This approach often works well initially, but quickly becomes a problem when the application needs faster queries, better monitoring, caching, scaling, replication, or real-time data handling.
That’s why this list is useful. Tools like ClickHouse and DuckDB are great for analytics, while Supabase and Redis assist developers build newfangled applications faster. Prometheus, Vitess and LiteFS solve critical production problems related to monitoring, scaling and replication. For AI applications, OpenViking introduces a useful direction for agent context and memory management.
If you’re just starting out, start with DuckDB, Supabase, and Redis. If you’re building production systems, check out ClickHouse, Prometheus, Vitess, and pgAdmin next. The goal is not to exploit every tool, but to compare them, understand what each does best, and choose the right database stack for your application.
Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.