How to switch from Redis to Consul using gokv?

Change the import from github.com/philippgille/gokv/redis to github.com/philippgille/gokv/consul, update the options and client initialization, but keep the same Store interface calls—no logic changes needed, as shown in the Usage examples.

gokv vs direct database client: which is better for performance?

Native clients often outperform gokv due to fewer abstraction layers, but gokv's overhead is minimal for most use cases; choose it for flexibility across backends, not raw speed.

Does gokv support key expiration or TTL for caching?

Not directly in the interface; some backends like Redis or Memcached can be configured separately via their options, but you lose portability if relying on such features.

How to handle custom struct marshaling in gokv?

Implement methods like MarshalJSON or GobEncode for your structs, as detailed in the Value Types section, to control serialization and include unexported fields.

Is gokv good for high-throughput microservices?

It can work, but the abstraction may add latency; benchmark with your specific backend, as the README admits performance depends on marshaling formats and implementation details.

What happens if a backend isn't supported in gokv?

You can write your own Store implementation, following the simple interface, or request it via GitHub issues—the project encourages contributions, but coverage gaps exist, like missing Azure Cosmos DB.

gokv — Go Key-Value Store Abstraction

What is gokv?

gokv is a Go library that provides a simple abstraction layer for key-value stores, enabling developers to interact with various databases through a unified interface. It solves the problem of vendor lock-in and reduces boilerplate code by automatically handling serialization and offering implementations for popular backends like Redis, Consul, etcd, and cloud services.

Target Audience

Go developers building applications that require flexible storage backends, package creators who want to support multiple databases without forcing a specific choice, and teams needing to switch between storage solutions for different environments.

Value Proposition

Developers choose gokv for its minimal interface, extensive backend support, and automatic marshaling, which simplifies storage integration and allows easy swapping of databases without rewriting application logic.

Simple key-value store abstraction and implementations for Go (Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB and many more)

Use Cases

Best For

Building Go packages that require storage but should not dictate a specific database
Developing applications that need to switch between storage backends for testing vs production
Reducing boilerplate code when working with multiple key-value store clients
Creating storage-agnostic microservices in Go
Prototyping with an in-memory store and later moving to a persistent database
Unifying storage access across embedded, distributed, and cloud databases

Not Ideal For

Applications demanding ultra-low latency or direct control over database-specific optimizations
Projects that rely heavily on advanced database features like transactions, complex queries, or real-time notifications
Production systems requiring a stable, long-term API without breaking changes (due to pre-v1.0 status)
Teams needing extensive, unified documentation across all supported backends

Pros & Cons

Pros

Extensive Backend Support

Over 20 implementations span embedded, distributed, and cloud databases, enabling seamless switching between environments like Redis for production and in-memory maps for testing.

Automatic Serialization

Accepts any Go type and handles marshaling/unmarshaling with JSON, gob, or protobuf, eliminating boilerplate code compared to raw byte-based libraries.

Minimal, Clean Interface

The Store interface with just Set, Get, Delete, and Close methods simplifies adoption and implementation, as emphasized in the Design Decisions section.

Modular Dependency Management

Each backend is a separate Go module, keeping dependencies lean for users who only need specific stores, avoiding unnecessary bloat.

Cons

Unstable Pre-v1.0 API

The Project Status section warns of active development and breaking changes until v1.0.0, which can disrupt production code and increase maintenance burden.

Limited Advanced Features

Focuses solely on basic CRUD; lacks built-in support for common key-value store features like listings, key expiration, or watchers, requiring workarounds or backend-specific hacks.

Inconsistent Error Handling

Errors are forwarded directly from backend libraries without unification, making error management tricky in storage-agnostic code, as noted in the Design Decisions.

Frequently Asked Questions

What is gokv?

Target Audience

Value Proposition

Use Cases

Best For

Building Go packages that require storage but should not dictate a specific database
Developing applications that need to switch between storage backends for testing vs production
Reducing boilerplate code when working with multiple key-value store clients
Creating storage-agnostic microservices in Go
Prototyping with an in-memory store and later moving to a persistent database
Unifying storage access across embedded, distributed, and cloud databases

Not Ideal For

Applications demanding ultra-low latency or direct control over database-specific optimizations
Projects that rely heavily on advanced database features like transactions, complex queries, or real-time notifications
Production systems requiring a stable, long-term API without breaking changes (due to pre-v1.0 status)
Teams needing extensive, unified documentation across all supported backends

Pros & Cons

Pros

Extensive Backend Support

Over 20 implementations span embedded, distributed, and cloud databases, enabling seamless switching between environments like Redis for production and in-memory maps for testing.

Automatic Serialization

Accepts any Go type and handles marshaling/unmarshaling with JSON, gob, or protobuf, eliminating boilerplate code compared to raw byte-based libraries.

Minimal, Clean Interface

The Store interface with just Set, Get, Delete, and Close methods simplifies adoption and implementation, as emphasized in the Design Decisions section.

Modular Dependency Management

Each backend is a separate Go module, keeping dependencies lean for users who only need specific stores, avoiding unnecessary bloat.

Cons

Unstable Pre-v1.0 API

The Project Status section warns of active development and breaking changes until v1.0.0, which can disrupt production code and increase maintenance burden.

Limited Advanced Features

Focuses solely on basic CRUD; lacks built-in support for common key-value store features like listings, key expiration, or watchers, requiring workarounds or backend-specific hacks.

Inconsistent Error Handling

Errors are forwarded directly from backend libraries without unification, making error management tricky in storage-agnostic code, as noted in the Design Decisions.

Frequently Asked Questions

gokv

What is gokv?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

gokv

What is gokv?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?