---
title: "crate vs redis"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/crate-crate-vs-redis-redis"
tools: ["crate-crate", "redis-redis"]
---

# crate vs redis

*GraphCanon updated Aug 21, 2026*

## Verdict

Pick crate if crateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing; pick redis if redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications.

[crate](https://cratedb.com/database) reports 4.4k GitHub stars, 608 forks, and 331 open issues, last pushed Aug 21, 2026. [redis](http://redis.io) has 76k stars, 25k forks, and 2.9k open issues, last pushed Jul 23, 2026. Figures are from public GitHub metadata via [crate's repository](https://github.com/crate/crate) and [redis's repository](https://github.com/redis/redis).

| | [crate](/tools/crate-crate.md) | [redis](/tools/redis-redis.md) |
| --- | --- | --- |
| Tagline | Distributed and Scalable SQL Database for Near Real-Time Data Analysis | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. |
| Stars | 4,424 | 75,627 |
| Forks | 608 | 24,730 |
| Open issues | 331 | 2,883 |
| Language | Java | C |
| Adopt for | CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing. | Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [crate](/tools/crate-crate.md) | [redis](/tools/redis-redis.md) |
| --- | --- | --- |
| Open issues (now) | 331 | 2.9k |
| Stars delta | +8 (30d) | Unknown |
| Open issues delta | +14 (30d) | Unknown |
| Full report | [trust report](/tools/crate-crate/trust.md) | [trust report](/tools/redis-redis/trust.md) |

## Decision facts: crate

- **Adopt for:** CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing.

## Decision facts: redis

- **Adopt for:** Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications.

## Choose when

### Choose crate if…

- crate is primarily Java; redis is C.
- License: crate is Apache-2.0, redis is Other.
- Tags unique to crate: analytics, big-data, cratedb, distributed.
- - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.

### Choose redis if…

- redis is primarily C; crate is Java.
- License: redis is Other, crate is Apache-2.0.
- Tags unique to redis: cache, caching, in-memory, json.
- You need high-speed access to frequently used data due to Redis's in-memory nature.

## When NOT to use crate

- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations.
- - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.

## When NOT to use redis

- Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets.
- You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases.
- Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.

## Common questions

### What is the difference between crate and redis?

crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. redis: Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.. See the comparison table for live GitHub stats and shared categories.

### When should I choose crate over redis?

Choose crate over redis when crate is primarily Java; redis is C; License: crate is Apache-2.0, redis is Other; Tags unique to crate: analytics, big-data, cratedb, distributed; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.

### When should I choose redis over crate?

Choose redis over crate when redis is primarily C; crate is Java; License: redis is Other, crate is Apache-2.0; Tags unique to redis: cache, caching, in-memory, json; You need high-speed access to frequently used data due to Redis's in-memory nature.

### When should I avoid crate?

- Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.

### When should I avoid redis?

Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.

### Is crate or redis more popular on GitHub?

redis has more GitHub stars (75,627 vs 4,424). Stars measure visibility, not whether either tool fits your constraints.

### Are crate and redis open source?

Yes - both are open-source projects on GitHub (crate: Apache-2.0, redis: Other).

### Where can I find alternatives to crate or redis?

GraphCanon lists graph-backed alternatives at [crate alternatives](/tools/crate-crate/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([crate markdown twin](/tools/crate-crate/alternatives.md), [redis markdown twin](/tools/redis-redis/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/crate-crate-vs-redis-redis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, crate or redis?

crate: Very active. redis: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for crate and redis?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [crate trust report](/tools/crate-crate/trust); [redis trust report](/tools/redis-redis/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=crate-crate`](/api/graphcanon/graph?tool=crate-crate)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
