Amazon MemoryDB vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | Databricks |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 22 | 1,388 |
| Ease of use | 9.3 | 8.9 |
| Ease of setup | 9.4 | 8.7 |
| Quality of support | 8.8 | 8.9 |
| Meets requirements | 9.3 | 9.1 |
| NPS | 54.545455 | 77.851361 |
| Small Business | 31.8% | 15.1% |
| Mid-Market | 27.3% | 37.6% |
| Enterprise | 40.9% | 47.2% |
| Total page views | 53 | 16,340 |
| Total LLM citations | 32 | 14,031 |
Amazon MemoryDB
Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use with no minimum fee. A node is the smallest building block of a MemoryDB cluster. Each node supports varying amounts of computation and memory capacity, and you can select a node type based on your needs. You are charged based on three components: on-demand instance hours per node, volume of data written to your cluster, and snapshot storage that you use.
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations