Olric

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Olric is a distributed, in-memory key/value store and cache. It offers high-performance data storage and retrieval for various applications.

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At a glance

Pricing

—

Free tier

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API

Yes

Skill level

Technical

About

What is olric?

Olric is a distributed, in-memory key/value store and cache designed for high-performance data storage and retrieval. It can be utilized either as an embedded Go library or as a language-independent service. This flexibility allows developers to integrate it into diverse system architectures. Olric is particularly well-suited for use cases requiring fast data access, such as caching mechanisms and efficient session management, ensuring quick response times and improved application performance.

Best used for

Efficiently storing and retrieving data in a distributed, high-performance environment, especially for caching and session management.

Common actions

Store data

Cache data

Manage sessions

Improve performance

Distribute data

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Capabilities

Key features

Distributed key/value store
In-memory cache
High-performance data
Embedded Go library
Language-independent service

Target Audience

DevelopersSystem ArchitectsBackend Engineers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the typical deployment options for Olric, given its embedded library and service capabilities?

Olric can be deployed as an embedded library directly within a Go application for co-located data, or as a standalone service accessible via a language-independent API. This allows for flexible integration into microservices architectures or traditional monolithic applications.

How does Olric ensure high availability and data consistency in a distributed environment?

Olric uses a consistent hashing algorithm to distribute data across nodes and supports replication to ensure data availability. While it prioritizes performance, it offers eventual consistency, which is suitable for caching and many real-time data access patterns.

What are the primary use cases where Olric excels compared to other key/value stores?

Olric is particularly strong for in-memory caching, session management, and real-time data lookups where low-latency access is critical. Its Go-native implementation and embedded option make it highly efficient for Go-based applications requiring fast, distributed data storage.

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Data & Analytics › Data Pipelines & Integration

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