Antwort Is it safe to store data in Redis? Weitere Antworten – Can Redis store data permanently
By default, Redis stores data in memory, which means that it is lost when the Redis server is shut down or restarted. Redis persistence enables data to be saved to disk and restored when the Redis server starts up again, ensuring that data is not lost in the event of a crash or shutdown.Redis has a variety of data structures that can be used to store and organize data. Understanding the different data structures and how they are used to store and organize data can be helpful when designing a data model for large data sets. It is also important to consider the architecture of the system.A disadvantage of using a key-value store, such as Redis, is that there's no query language. Additionally, Redis doesn't natively support secondary indexes. This limits your data access flexibility.
Can Redis lose data : However, if you're using Redis as a primary datastore, then you could suffer partial data loss. Even worse, you could end up losing your entire dataset if the Redis issue affects its ability to take proper snapshots, or if the snapshots get corrupted.
Why not use Redis for everything
When not to use Redis as a Database Critical business data: despite being persistent, critical business data is usually stored in more traditional Databases and not in Redis. Complex data queries: data in key-value store can be accessed by its key only.
What is the lifetime of Redis data : The key will simply live forever, unless it is removed by the user in an explicit way, for instance using the DEL command. The EXPIRE family of commands is able to associate an expire to a given key, at the cost of some additional memory used by the key.
Redis can handle up to 2^32 keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 2^32 elements.
We have compiled a list of solutions that reviewers voted as the best overall alternatives and competitors to Redis, including Azure Cosmos DB, ArangoDB, Aerospike, and Amazon DynamoDB.
Why not use Redis as database
However, most Redis service providers support Redis as a cache but not as a primary database. This means you need a separate database like DynamoDB in addition to using Redis. This adds complexity, compromises latency, and prevents you from realizing the full potential of Redis.Redis in fact is not a data store, nor is intended to do what a database (or maybe file system) was designed to do. As you correctly point out, if you need to store more information than can easily fit into RAM, then an in-memory cache solution such as Redis is no longer suitable.Large Data Storage: Redis is an in-memory database, so it's not suitable for storing large volumes of data that can't fit in memory. If you need to store terabytes of data, consider other databases like PostgreSQL or MongoDB.
If your organization uses Redis, you're in good company. Today, nearly 10,000 customers rely on Redis Enterprise to run their business.
How much data is too much for Redis : Redis can handle up to 2^32 keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 2^32 elements. In other words your limit is likely the available memory in your system.
How much memory can Redis handle : 32-bit vs 64-bit Architecture: A 32-bit Redis server can only address up to 4GB of memory, while a 64-bit Redis server can potentially use all the available RAM on your system. Maximum Keyspace Size: By default, Redis supports up to 2^32 (about 4 billion) keys per instance.
Can Redis handle millions of records
Redis can handle up to 2^32 keys, and was tested in practice to handle at least 250 million keys per instance. Every hash, list, set, and sorted set, can hold 2^32 elements. In other words your limit is likely the available memory in your system.
Development environment
| Item | Description | Minimum requirements |
|---|---|---|
| Nodes per cluster | You can install on one node but many features require at least two nodes. | 1 node |
| RAM per node | The amount of RAM for each node. | 4GB |
| Storage per node | The amount of storage space for each node. | 10GB |
Redis excels in horizontal scalability, making it suitable for distributed setups and scenarios where you need to scale out across multiple nodes. MySQL, while also scalable, might require more effort and careful planning, especially in large-scale distributed environments.
Should I use Redis or MongoDB : When to use Redis vs. MongoDB. For temporary data storage with rapid querying, use Redis. For long-term persistent storage of complex data with rich querying, use MongoDB. Redis provides fast access to frequently accessed data, which makes it suitable for caching and session storage.