In-Memory DB
Store data in real time with ease and security
Set up and scale your configuration in just a few steps
- Customize database clustering to fit your exact needs
- Built for high availability, backed by IONOS support
Reliable databases from IONOS
Compatible with the Redis® OSS API, In-Memory DB increases productivity with simple, efficient setup options.
SIMPLE SETUP
Ready in minutes
Configure powerful in-memory databases quickly
- Easy management with the IONOS Data Center Designer
- Access via API, SDKs and configuration tools
COMPLETE FLEXIBILITY
Fully customizable to your needs
- Design database clusters to fit your specifications
- Enjoy complete flexibility with RAM and CPU options
- Scale anytime by adding nodes as you grow
ALWAYS SCALABLE
Adapt to changing demands
- Modify clusters on the fly with no downtime
- Adjust database size based on your current scenario
- Easily expand with new nodes as needed
MAXIMUM RELIABILITY
High availability guaranteed
- 99.95% uptime SLA to ensure continuous access
- Built-in fault tolerance for data reliability
- Automatic failover protection included
MANAGED SOLUTION
Top-tier support included
- IONOS handles all updates and maintenance
- Simple, worry-free cluster updates
- Focus on your work, leave management to us
DATA PROTECTION
Secure and private data handling
- Compliant with ISO 27001 for rigorous data security
- Full protection for all your cluster data
- Real-time data processing with complete privacy
Fair pricing for your in-memory databases
Price
| |
|---|---|
Dedicated core (2 Hyper-Threads) | $0.066 / hr |
RAM | $0.008 / GB / hr |
SSD Premium 0 | $0.17 / GB / 30 days |
Dedicated core (2 Hyper-Threads) | |
|---|---|
Price
| $0.066 / hr |
RAM | |
Price
| $0.008 / GB / hr |
SSD Premium 0 | |
Price
| $0.17 / GB / 30 days |
Use cases for In-Memory DB
Use case
Use case
Boost web performance with caching
Use case
Use case
Run real-time analytics
Use case
Use case
Efficient user session management
Use case
Use case
Implement message queuing
Use case
Use case
Operate geo-data services securely
Use case
Use case
Set up pub/sub messaging
Documentation and guides
Getting started
APIs & SDKs
Build your own public cloud
- Intuitive IONOS Data Center Designer
- No setup fees or minimum contract term
- Free 24/7 expert support
The IONOS Cloud in practice
In-Memory DB FAQs
In-Memory DB from IONOS is a high-performance, Redis®-compatible storage solution that stores data directly in memory. It can function as a traditional database, cache, or message broker. With configured database clusters, it offers ultra-low latency (less than one millisecond) and high data throughput.
In-Memory DB from IONOS is a high-performance, Redis®-compatible storage solution that stores data directly in memory. It can function as a traditional database, cache, or message broker. With configured database clusters, it offers ultra-low latency (less than one millisecond) and high data throughput.
In-Memory DB operates as a managed service within the IONOS Cloud, meaning you don’t need to handle infrastructure setup, maintenance, scaling, or updates yourself. This allows you to focus fully on developing and managing your applications. IONOS also ensures robust data security and privacy, with compliance to international standards such as ISO 27001.
In-Memory DB operates as a managed service within the IONOS Cloud, meaning you don’t need to handle infrastructure setup, maintenance, scaling, or updates yourself. This allows you to focus fully on developing and managing your applications. IONOS also ensures robust data security and privacy, with compliance to international standards such as ISO 27001.
In-Memory DB is versatile for a wide range of use cases, thanks to its support for multiple data types. These include Strings, Hashes, Lists, Sets, Sorted Sets, Bitmaps, HyperLogLog, Geospatial Indexes, and Streams.
In-Memory DB is versatile for a wide range of use cases, thanks to its support for multiple data types. These include Strings, Hashes, Lists, Sets, Sorted Sets, Bitmaps, HyperLogLog, Geospatial Indexes, and Streams.
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