How to persist data in piladb?

piladb does not support data persistence out of the box since it's an in-memory database; data is lost on server restart, so you'd need external solutions or backups for durability.

piladb vs Redis for stack operations?

piladb is specialized for stack operations with a REST API and minimal dependencies, while Redis supports multiple data structures, persistence, and broader features. For simple, temporary stacks, piladb is lighter, but Redis is more versatile for production.

How to install piladb on Windows?

The README provides binaries only for Linux and Mac; for Windows, you need to build from source using Go 1.6+ and the make commands, but cross-compilation support isn't explicitly detailed, which may require additional setup.

Can piladb handle concurrent API requests?

Yes, being written in Go, piladb likely handles concurrency well due to Go's native goroutines, but the README doesn't specify performance benchmarks or concurrency limits, so testing is advised for high-load scenarios.

What are the memory limits for piladb stacks?

Stacks are auto-scalable but limited by host memory or configuration, as per the README; very large datasets may cause performance issues or out-of-memory errors, with no built-in partitioning.

Is piladb suitable for microservices?

Yes, its lightweight REST API and stack-based model make it good for microservices needing simple, temporary data storage, but the lack of persistence and high availability may be drawbacks for critical services.

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piladb

MITGov0.1.5

A lightweight RESTful database engine built on stack data structures with JSON support and HTTP API.

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206 stars23 forks0 contributors

What is piladb?

piladb is a lightweight RESTful database engine based on stack data structures. It allows users to create multiple stacks, perform operations like PUSH and POP on elements of any JSON-compatible type, and access the top element in constant time via an HTTP API.

Target Audience

Developers and engineers needing a simple, stack-based data store with REST API access for prototyping, microservices, or lightweight applications.

Value Proposition

piladb offers a minimalistic, stack-oriented database with zero external dependencies, easy configuration via API or CLI, and cross-platform binaries, making it ideal for scenarios where simplicity and speed are prioritized over complex querying.

Overview

Lightweight RESTful database engine based on stack data structures

Use Cases

Best For

Prototyping applications that need a simple, temporary data store
Microservices requiring a lightweight, stack-based persistence layer
Educational projects demonstrating stack data structure operations
CLI tools that need embedded, in-memory database functionality
APIs that require fast, constant-time access to the most recent data
Testing environments where a minimal, configurable database is needed

Not Ideal For

Applications requiring durable data persistence that survives server restarts
Projects needing complex querying, relational models, or multi-data-structure support
High-availability production systems with distributed or replicated database needs

Pros & Cons

Pros

Minimal Dependency Footprint

Relies heavily on the Go standard library with few third-party dependencies, as stated in the philosophy, making it easy to maintain and deploy without external bloat.

Cross-Language REST API

Provides a RESTful API for managing stacks and resources, enabling integration with any programming language, which is a core feature highlighted in the README.

Fast In-Memory Operations

Uses in-memory storage with constant-time access for core stack operations like PUSH and POP, ensuring high performance for stack-based workflows, as noted in the features.

Easy Configuration and Deployment

Configurable via REST API or CLI parameters and offers self-contained binaries for Linux and Mac, simplifying setup and usage, as detailed in the install section.

Cons

Volatile Data Storage

As an in-memory store, all data is lost on server restart, with no built-in persistence mechanism mentioned in the README, limiting it to temporary data scenarios.

Limited Data Model and Operations

Only supports stack data structures with basic operations (POP, PUSH, etc.), lacking support for other data types or complex queries, a trade-off of its minimalist philosophy.

No Built-In High Availability

The README does not mention replication, clustering, or fault tolerance features, making it unsuitable for distributed systems or scalable production deployments.

Frequently Asked Questions

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