Software Alternatives, Accelerators & Startups

Messagepack VS PostGraphile

Compare Messagepack VS PostGraphile 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.

Messagepack logo Messagepack

An efficient binary serialization format.

PostGraphile logo PostGraphile

GraphQL API for Postgres
  • Messagepack Landing page
    Landing page //
    2022-01-07
  • PostGraphile Landing page
    Landing page //
    2022-12-23

Messagepack features and specs

  • Efficiency
    MessagePack provides efficient binary serialization, which can significantly reduce the size of the data. This makes it faster to transmit over networks and cheaper to store, particularly for large datasets.
  • Interoperability
    MessagePack is supported by a wide variety of programming languages, making it easy to use in polyglot environments or in systems that consist of multiple services using different programming languages.
  • Simplicity
    The MessagePack format is simple to use and understand, comparable to JSON, but it offers better performance and compactness as it uses binary format instead of text.
  • Flexibility
    Supports a variety of data types including integers, floats, strings, arrays, and maps, allowing for complex data structures to be serialized without losing any information.

Possible disadvantages of Messagepack

  • Human Readability
    Because MessagePack uses a binary format, it is not human-readable. This makes debugging and logging more difficult compared to text formats like JSON.
  • Size Overhead for Small Data
    For very small payloads, the size overhead of MessagePack can be higher than JSON. This is because the headers and binary format of MessagePack can add more bytes compared to JSON’s minimal text representation.
  • Tooling and Ecosystem
    While MessagePack is widely supported, its ecosystem and tooling are not as rich as JSON’s. JSON has more extensive support in terms of libraries, tools, and online resources.
  • Complexity in Implementation
    Implementing MessagePack serialization and deserialization requires handling binary data, which can be more complex than dealing with text-based formats. This might require more effort and careful handling, especially in resource-constrained environments.

PostGraphile features and specs

  • Automatic API Generation
    PostGraphile automatically generates a GraphQL API from a PostgreSQL database, simplifying the development process by eliminating the need to manually create API endpoints.
  • Efficient Performance
    PostGraphile is optimized for performance, offering features like query planning and batching to ensure that it handles large and complex queries efficiently.
  • Rapid Prototyping
    The tool enables rapid prototyping by quickly turning a database schema into a working API, which is useful for testing ideas and building MVPs.
  • Feature Rich
    PostGraphile supports various advanced features out-of-the-box, such as real-time updates with subscriptions, advanced filtering, and pagination.
  • Strong PostgreSQL Integration
    Being specifically designed for PostgreSQL, PostGraphile provides deep integration with PostgreSQL features, making it possible to leverage database functions, views, and security features directly.

Possible disadvantages of PostGraphile

  • Steep Learning Curve
    While powerful, PostGraphile can be complex to learn, especially for developers unfamiliar with PostgreSQL or GraphQL, due to its extensive configuration options and feature set.
  • Limited to PostgreSQL
    PostGraphile is designed to work specifically with PostgreSQL, which means it cannot be used with other databases like MySQL or MongoDB, limiting its applicability in diverse tech stacks.
  • Overhead for Simple Applications
    For simple applications, the advanced features and automatic generation can create unnecessary overhead, potentially complicating simple CRUD operations.
  • Less Control Over SQL
    Since automatic GraphQL generation is based on the database schema, developers may have less fine-grained control over the SQL queries that are generated, which can be a limitation for highly optimized or specific query requirements.
  • Dependency on Database Schema
    Changes in the database schema directly affect the API, which can be a drawback if the schema evolves frequently, requiring more cautious database management to ensure API stability.

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PostGraphile videos

Full-Stack Developer talks PostGraphile, GraphQL, Angular and Philosophy of Developing!

Category Popularity

0-100% (relative to Messagepack and PostGraphile)
Configuration Management
100 100%
0% 0
Realtime Backend / API
0 0%
100% 100
Mobile Apps
100 100%
0% 0
GraphQL
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Messagepack seems to be a lot more popular than PostGraphile. While we know about 15 links to Messagepack, we've tracked only 1 mention of PostGraphile. 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.

Messagepack mentions (15)

  • A File Format Uncracked for 20 Years
    ImHex will tell you if it's compressed. Do you understand data structures? Floats, all those data types? I'd suggest looking at a format like msgpack to see what a binary data format could look like: https://msgpack.org/ Then be aware that proprietary formats are going to be a lot more complicated. Or maybe it's just zipped up json data, only way to tell is to start poking around at it. - Source: Hacker News / 10 months ago
  • ARJSON
    ARJSON leverages bit-level optimizations to encode JSON at lightning speed while compressing data more efficiently than other self-contained JSON encoding/compression algorithms, such as MessagePack and CBOR. - Source: dev.to / over 1 year ago
  • Salt Exporter: the story behind the tool
    I also read that Salt was using MessagePack to format their messages. MessagePack is a format like JSON, but more compact. - Source: dev.to / almost 3 years ago
  • What is the fastest way to encode the arbitrary struct into bytes?
    So appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls? Source: over 3 years ago
  • Using Arduino as input to Rust project (help needed)
    If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... Though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing. Source: over 3 years ago
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PostGraphile mentions (1)

  • [Question] What will it take to create an automated graphQL API with Elixir?
    There are tools like Hasura/Haskell, Postgraphile/Node.js or Graphjin/Golang that could generate an automatic graphQL API from a Postgres database. Im new to Elixir and really love it. I wonder if there is anything similar these. I heard about Absinthe for graphQL, however as far as I understand it requires to write your own resolvers. What will it take to create a similar tool in Elixir like the one stated above?... Source: almost 4 years ago

What are some alternatives?

When comparing Messagepack and PostGraphile, you can also consider the following products

Avro - Avro Keyboard is an Unicode and ANSI compliant Free Bangla Typing Software and Bangla Spell Checker for Windows.

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

TOML - TOML - Tom's Obvious, Minimal Language

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

Protobuf - Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

Oracle PL/SQL - PL/SQL is Oracle's procedural extension to industry-standard SQL.