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gRPC VS memcached

Compare gRPC VS memcached 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.

gRPC logo gRPC

Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

memcached logo memcached

High-performance, distributed memory object caching system
  • gRPC Landing page
    Landing page //
    2024-05-27
  • memcached Landing page
    Landing page //
    2023-07-23

gRPC features and specs

  • Performance
    gRPC uses Protocol Buffers, which are more efficient in terms of serialization and deserialization compared to text-based formats like JSON. This leads to lower CPU usage and faster transmission, making it suitable for high-performance applications.
  • Bi-directional Streaming
    gRPC supports bi-directional streaming, enabling both client and server to send a series of messages through a single connection. This is particularly useful for real-time communication applications.
  • Strongly Typed APIs
    gRPC uses Protocol Buffers for defining service methods and message types, providing a strong type system that can catch potential issues at compile-time rather than runtime.
  • Cross-language Support
    gRPC supports a wide range of programming languages, including but not limited to Java, C++, Python, Go, and C#. This allows for flexible integration in polyglot environments.
  • Built-in Deadlines/Timeouts
    gRPC natively supports deadlines and timeouts to help manage long-running calls and avoid indefinite blocking, improving robustness and reliability.
  • Automatic Code Generation
    gRPC provides tools for automatic code generation from .proto files, reducing boilerplate code and speeding up the development process.

Possible disadvantages of gRPC

  • Learning Curve
    The complexity of gRPC and Protocol Buffers may present a steep learning curve for developers who are not familiar with these technologies.
  • Limited Browser Support
    gRPC was not originally designed with browser support in mind, making it challenging to directly call gRPC services from web applications without additional tools like gRPC-Web.
  • Verbose Configuration
    Setting up gRPC and defining .proto files can be more verbose compared to simpler RESTful APIs, which might be a deterrent for smaller projects.
  • HTTP/2 Requirement
    gRPC relies on HTTP/2 for transport, which can be problematic in environments where HTTP/2 is not supported or requires additional configuration.
  • Limited Monitoring and Debugging Tools
    Compared to REST, there are fewer tools available for monitoring, debugging, and testing gRPC services, which might complicate troubleshooting and performance tuning.
  • Protobuf Ecosystem Requirement
    Depending on the language, integrating Protocol Buffers might require additional dependencies and tooling, which could add to the maintenance overhead.

memcached features and specs

  • High Performance
    Memcached is incredibly fast and efficient at caching data in memory, enabling quick data retrieval and reducing the load on databases. Its in-memory nature significantly reduces latency.
  • Scalability
    Memcached can be easily scaled horizontally by adding more nodes to the caching cluster. This allows it to handle increased loads and large datasets without performance degradation.
  • Simplicity
    Memcached has a simple design and API, making it easy to implement and use. Developers can quickly integrate it into their applications without a steep learning curve.
  • Open Source
    Memcached is free and open-source software, which means it can be used and modified without any licensing fees. This makes it a cost-effective solution for caching.
  • Language Agnostic
    Memcached supports multiple programming languages through various client libraries, making it versatile and suitable for use in diverse tech stacks.

Possible disadvantages of memcached

  • Data Volatility
    Memcached stores data in RAM, so all cached data is lost if the server is restarted or crashes. This makes it unsuitable for storing critical or persistent data.
  • Limited Data Types
    Memcached primarily supports simple key-value pairs. It lacks the rich data types and more complex structures supported by some other caching solutions like Redis.
  • No Persistence
    Memcached does not offer any data persistence features. It cannot save data to disk, so all information is ephemeral and will be lost on system reset.
  • Size Limitation
    Memcached has a memory limit for each instance, thus, large-scale applications may need to manage multiple instances and ensure data is properly distributed.
  • Security
    Memcached does not provide built-in security features such as authentication or encryption. This can be a concern in environments where data privacy and security are critical.

Analysis of memcached

Overall verdict

  • Memcached is a solid choice for applications that require distributed caching to improve scalability and performance. It's particularly beneficial for web applications handling high traffic and needing fast, efficient data retrieval.

Why this product is good

  • Memcached is considered good due to its high performance, simplicity, and effectiveness in enhancing the speed of dynamic web applications by alleviating database load. It operates by storing data in memory, which allows for quick retrieval of cached objects and reduces the need to frequently query the database. Its distributed architecture, open-source nature, and widespread language support make it a flexible and reliable choice for caching.

Recommended for

  • Web developers looking to improve the speed and scalability of applications.
  • Organizations needing a simple and effective caching solution to reduce database load.
  • Projects that demand quick deployment of a caching solution with support across multiple programming languages.

gRPC videos

gRPC, Protobufs and Go... OH MY! An introduction to building client/server systems with gRPC

More videos:

  • Review - gRPC with Mark Rendle
  • Review - GraphQL, gRPC or REST? Resolving the API Developer's Dilemma - Rob Crowley - NDC Oslo 2020
  • Review - Taking Full Advantage of gRPC
  • Review - gRPC Web: It’s All About Communication by Alex Borysov & Yevgen Golubenko
  • Review - tRPC, gRPC, GraphQL or REST: when to use what?

memcached videos

Course Preview: Using Memcached and Varnish to Speed Up Your Linux Web App

Category Popularity

0-100% (relative to gRPC and memcached)
Web Servers
100 100%
0% 0
Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0
NoSQL Databases
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 gRPC and memcached

gRPC Reviews

SignalR Alternatives
SignalR is basically used to allow connection between client and server or vice-versa. It is a type of bi-directional communication between both the client and server. SignalR is compatible with web sockets and many other connections, which help in the direct push of content over the server. There are many alternatives for signalR that are used, like Firebase, pusher,...
Source: www.educba.com

memcached Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
Quick ask: I don’t see “some” of the other offering out there like MemCached… what was the criteria used to select these? I don’t see any source of how the test where run, specs of the systems, how the DB where set up, etc. Would be very valuable to have in order to attempt to re-validate these test on our own platform. I also came back and saw some of your updates...
Memcached vs Redis - More Different Than You Would Expect
So knowing how the difference between Redis and memcached in-memory usage, lets see what this means. Memcached slabs once assigned never change their size. This means it is possible to poison your memcached cluster and really waste memory. If you load your empty memcached cluster with lots of 1 MB items, then all of the slabs will be allocated to that size. Adding a 80 KB...
Redis vs. Memcached: In-Memory Data Storage Systems
Memcached itself does not support distributed mode. You can only achieve the distributed storage of Memcached on the client side through distributed algorithms such as Consistent Hash. The figure below demonstrates the distributed storage implementation schema of Memcached. Before the client side sends data to the Memcached cluster, it first calculates the target node of the...
Source: medium.com
Why Redis beats Memcached for caching
Both Memcached and Redis are mature and hugely popular open source projects. Memcached was originally developed by Brad Fitzpatrick in 2003 for the LiveJournal website. Since then, Memcached has been rewritten in C (the original implementation was in Perl) and put in the public domain, where it has become a cornerstone of modern Web applications. Current development of...

Social recommendations and mentions

Based on our record, gRPC should be more popular than memcached. It has been mentiond 97 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.

gRPC mentions (97)

  • Top 10 Programming Trends and Languages to Watch in 2025
    Sonja Keerl, CTO of MACH Alliance, states, "Composable architectures enable enterprises to innovate faster by assembling best-in-class solutions." Developers must embrace technologies like GraphQL, gRPC, and OpenAPI to remain competitive. - Source: dev.to / 21 days ago
  • Getting Started With gRPC in Golang
    gRPC is a framework for building fast, scalable APIs, especially in distributed systems like microservices. - Source: dev.to / 2 months ago
  • Should You Ditch REST for gRPC?
    Recently, I started working on extending the support for gRPC in GoFr, a microservices oriented, Golang framework also listed in CNCF Landscape. As I was diving into this, I thought it would be a great opportunity to share my findings through a detailed article. - Source: dev.to / 4 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Apache Arrow Flight RPC : Arrow Flight is an RPC framework for high-performance data services based on Arrow data, and is built on top of gRPC and the IPC format. - Source: dev.to / 6 months ago
  • JSON vs FlatBuffers vs Protocol Buffers
    Generally used in conjunction with gRPC (but not necessarily), Protobuf is a binary protocol that significantly increases performance compared to the text format of JSON. But it "suffers" from the same problem as JSON: we need to parse it to a data structure of our language. For example, in Go:. - Source: dev.to / 10 months ago
View more

memcached mentions (36)

  • MySQL Performance Tuning Techniques
    Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / 3 months ago
  • 10 Best Practices for API Rate Limiting in 2025
    In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / 4 months ago
  • Outgrowing Postgres: Handling increased user concurrency
    A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / 4 months ago
  • API Caching: Techniques for Better Performance
    Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / 8 months ago
  • story of upgrading rails 5.x to 7.x
    The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing gRPC and memcached, you can also consider the following products

Apache Thrift - An interface definition language and communication protocol for creating cross-language services.

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

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

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

Docker Hub - Docker Hub is a cloud-based registry service

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.