Software Alternatives, Accelerators & Startups

Serverless VS KeyDB

Compare Serverless VS KeyDB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Serverless logo Serverless

Toolkit for building serverless applications

KeyDB logo KeyDB

KeyDB is fast NoSQL database with full compatibility for Redis APIs, clients, and modules.
  • Serverless Landing page
    Landing page //
    2023-08-06
  • KeyDB Landing page
    Landing page //
    2022-06-19

Serverless features and specs

  • Scalability
    Serverless architectures can automatically scale up or down based on the traffic, without the need for manual intervention.
  • Cost Efficiency
    You only pay for what you use. There are no expenses for idle times because billing is based on the actual amount of resources consumed by your application.
  • Reduced Maintenance
    No need to manage, patch, update, or monitor servers. This allows focus on writing code and deploying features.
  • Speed of Development
    Serverless platforms provide built-in integration with other services, which makes it quicker to develop and deploy applications.
  • High Availability
    Serverless platforms typically offer high availability and fault tolerance out of the box, reducing the risk of downtime.

Possible disadvantages of Serverless

  • Cold Start Latency
    Serverless functions can suffer from higher latency during initial invocation or when they haven’t been used for a while.
  • Limited Execution Time
    Most serverless platforms impose a maximum execution time limit on functions, which may not be suitable for long-running applications.
  • Vendor Lock-In
    Serverless architectures often rely on the specific features and services of a cloud provider, which can make it difficult to switch providers.
  • Complexity in Debugging
    Debugging and monitoring serverless applications can be more challenging compared to traditional architectures, due to their distributed and ephemeral nature.
  • Security Concerns
    Sharing resources on a serverless platform can introduce security vulnerabilities that must be managed vigilantly.

KeyDB features and specs

  • High Performance
    KeyDB offers superior performance over Redis by allowing multi-threading, which utilizes multiple CPU cores efficiently, leading to significant improvements in throughput and latency.
  • Redis Compatibility
    KeyDB is fully compatible with Redis, meaning users can easily switch between Redis and KeyDB without needing to change their existing code or data structures.
  • Active Replication
    It supports multi-primary (active-active) replication, enabling all replicas to accept writes without worrying about conflicts, which increases availability and resilience.
  • Built-in TLS
    KeyDB includes built-in TLS support which enhances security by allowing data encryption in transit, a feature that requires third-party solutions in some Redis setups.
  • Persistence Options
    KeyDB supports both RDB snapshotting and AOF logging, offering flexible persistence strategies to balance between performance and durability.

Possible disadvantages of KeyDB

  • Community Size
    KeyDB, while gaining popularity, has a smaller community compared to Redis, which can lead to less community support and fewer third-party tools or extensions.
  • Maturity
    As a relatively newer project compared to Redis, KeyDB may lack the same level of proven stability and maturity, making it a potentially riskier choice for critical applications.
  • Documentation and Resources
    While KeyDB has extensive documentation, it might not be as comprehensive or complete as Redis, potentially leading to longer project integration times.
  • Potential Compatibility Issues
    Although KeyDB is compatible with Redis, advanced Redis features or unusual configurations might face compatibility issues during migration.
  • Less Architectural Simplicity
    The added complexity of multi-threading and active-active replication modes can increase the operational overhead compared to Redis's simpler single-threaded, master-slave architecture.

Serverless videos

Thoughts on Zero V3, Instant Page and Serverless 1.37!

KeyDB videos

KeyDB on FLASH (Redis Compatible)

More videos:

  • Demo - Simple Demo of KeyDB on Flash in under 7 minutes (Drop in Redis Alternative)

Category Popularity

0-100% (relative to Serverless and KeyDB)
Developer Tools
100 100%
0% 0
Databases
0 0%
100% 100
Open Source
100 100%
0% 0
Key-Value Database
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Serverless and KeyDB

Serverless Reviews

We have no reviews of Serverless yet.
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KeyDB Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
2. KeyDB: The second is KeyDB. IIRC, I saw it in a blog post which said that it is a "multithreaded fork of Redis that is 5X faster"[1]. I really liked the idea because I was previously running several instances of Redis on the same node and proxying them like a "single-node cluster." Why? To increase CPU utilization. A single KeyDB instance could replace the unwanted...
Comparing the new Redis6 multithreaded I/O to Elasticache & KeyDB
Because of KeyDB’s multithreading and performance gains, we typically need a much larger benchmark machine than the one KeyDB is running on. We have found that a 32 core m5.8xlarge is needed to produce enough throughput with memtier. This supports throughput for up to a 16 core KeyDB instance (medium to 4xlarge)
Source: docs.keydb.dev
KeyDB: A Multithreaded Redis Fork | Hacker News
"KeyDB works by running the normal Redis event loop on multiple threads. Network IO, and query parsing are done concurrently. Each connection is assigned a thread on accept(). Access to the core hash table is guarded by spinlock. Because the hashtable access is extremely fast this lock has low contention. Transactions hold the lock for the duration of the EXEC command....

Social recommendations and mentions

Based on our record, Serverless should be more popular than KeyDB. It has been mentiond 39 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Serverless mentions (39)

  • Show HN: Winglang – a new Cloud-Oriented programming language
    GP may have been referring to Serverless Framework (http://serverless.com//). - Source: Hacker News / over 1 year ago
  • Invocation error - can't find any results helping me to solve this issue
    I deployed a lambda and http api gateway using a serverless.com (sls) template as a start. I get the following error when it processes a specific request:. Source: over 1 year ago
  • Deploying Lambdas from Zipped Code on S3 vs Image Repository
    Have you tried serverless.com ? It lets you have infrastructure as code. Source: about 2 years ago
  • [p] I built an open source platform to deploy computationally intensive Python functions as serverless jobs, with no timeouts
    - With Lambda, you manage creating and building the container yourself, as well as updating the Lambda function code. There are tools out there such as sst or serverless.com which help streamline this. Source: over 2 years ago
  • AWS Lambda, a good host for a rest API?
    If you'd like to use Lambda, usually you need to engineer FOR it, from day one, you don't (often) get to choose some other framework and shoehorn it into Lambda and Serverless. There's some great frameworks to help deploy code into Lambda easily and create REST endpoints for things, one such frameworks is serverless.com that helps easily deploy to it, but it lacks a framework for doing REST that also supports... Source: over 2 years ago
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KeyDB mentions (10)

  • Redis
    These facts only hold when the size of your payload and the number of connections remain relatively small. This easily jumps out the window with ever-increasing load parameters. The threshold is, unfortunately, rather low at a high number of connections and increased payload sizes. Modern large-scale micro-services will easily have over 100 running instances at medium scale. And since most instances employ some... - Source: dev.to / 3 months ago
  • Introducing LMS Moodle Operator
    The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management. - Source: dev.to / about 1 year ago
  • Dragonfly Is Production Ready (and we raised $21M)
    Congrats on the funding and getting production ready, it's good that KeyDB (and Redis) get some competition. https://docs.keydb.dev/ Open question, how does Dragonfly differ from KeyDB? - Source: Hacker News / about 2 years ago
  • I deleted 78% of my Redis container and it still works
    See: Distroless images[0] This is one of the huge benefits of recent systems languages like go and rust -- they compile to single binaries so you can use things like scatch[1] containers. You may have to fiddle with gnu libc/musl libc (usually when getaddrinfo is involved/dns etc), but once you're done with it, packaging is so easy. Even languages like Node (IMO the most progressive of the scripting languages)... - Source: Hacker News / almost 3 years ago
  • Dragonflydb – A modern replacement for Redis and Memcached
    Interesting project. Very similar to KeyDB [1] which also developed a multi-threaded scale-up approach to Redis. It's since been acquired by Snapchat. There's also Aerospike [2] which has developed a lot around low-latency performance. 1. https://docs.keydb.dev/ 2. https://aerospike.com/. - Source: Hacker News / almost 3 years ago
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What are some alternatives?

When comparing Serverless and KeyDB, you can also consider the following products

Nimbella - Simple serverless cloud for developers

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Up by apex - Deploy serverless apps and APIs in seconds to AWS Lambda

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Webiny - The Enterprise CMS platform that you can host on your cloud

Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...