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Presto DB VS Protocol Buffers

Compare Presto DB VS Protocol Buffers and see what are their differences

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Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)

Protocol Buffers logo Protocol Buffers

A method for serializing and interchanging structured data.
  • Presto DB Landing page
    Landing page //
    2023-03-18
  • Protocol Buffers Landing page
    Landing page //
    2023-08-02

Presto DB features and specs

  • High-Performance Query Engine
    Presto is designed for high-performance querying, capable of performing complex analytics and large-scale data processing at interactive speeds.
  • Distributed SQL Query Engine
    Presto can scale out to large clusters of machines, allowing for efficient distribution of queries over multiple servers to handle big data workloads.
  • Versatility
    Supports querying data from multiple data sources such as Hadoop, relational databases, NoSQL databases, and cloud object storage within a single query.
  • ANSI-SQL Compatibility
    Presto supports ANSI SQL, making it easier for users familiar with SQL to adapt and write queries without a steep learning curve.
  • Open Source
    Presto is an open-source project, which means it benefits from continuous community contributions and improvements, keeping it up-to-date and robust.
  • Extensible
    Presto's architecture is designed to be extensible, allowing users to add custom functions and connectors, tailored to specific needs.

Possible disadvantages of Presto DB

  • Resource Intensive
    High performance comes with significant resource requirements, necessitating robust infrastructure to realize its full potential.
  • Complex Configuration
    Setting up and configuring Presto can be complex and time-consuming, often requiring expertise and an understanding of its various components.
  • Limited Support for Transactions
    Presto is primarily designed for reading data and performing analytics, and it has limited support for transactional processing compared to traditional relational databases.
  • Community Support
    While it has a vibrant open-source community, users may find the support less comprehensive than that provided by commercial enterprise solutions.
  • Latency for Small Queries
    Designed for big data and complex queries, Presto may exhibit higher latency for small, simple queries compared to specialized databases optimized for such use cases.
  • Maintenance Overhead
    Managing and maintaining a Presto cluster can be labor-intensive, requiring ongoing tuning and maintenance to ensure optimal performance and reliability.

Protocol Buffers features and specs

  • Efficiency
    Protocol Buffers are designed to be compact and efficient, using less space compared to other serialization formats like XML or JSON. This efficiency benefits both storage and network transmission.
  • Backward and Forward Compatibility
    Protocol Buffers support easy schema evolution. New fields can be added to your protocol without breaking existing deployed programs that are compiled with an older version of the protocol.
  • Performance
    They offer fast serialization and deserialization, which can significantly improve performance in applications where speed is critical.
  • Language Support
    Protocol Buffers are supported in multiple programming languages, making them flexible for use in diverse tech stacks and across different systems.
  • Type Safety
    With Protocol Buffers, schemas are strictly defined, which provides a level of type safety compared to text-based formats like JSON or XML.

Possible disadvantages of Protocol Buffers

  • Learning Curve
    The initial setup and understanding of Protocol Buffers can be complex for those who are not familiar with binary serialization formats.
  • Debugging Difficulty
    Because Protocol Buffers use a compact and binary format, debugging can be more challenging compared to human-readable formats like JSON or XML.
  • Limited Human Readability
    As a binary format, Protocol Buffers are not easily readable without decoding, which can complicate manual inspection of data during development or troubleshooting.
  • Third-Party Dependency
    Using Protocol Buffers often requires integrating additional libraries into your project, which can introduce dependencies that need to be maintained.
  • Tooling Overhead
    The use of Protocol Buffers requires a compilation step and the generation of code from .proto files, which adds complexity and build-time overhead.

Presto DB videos

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Protocol Buffers videos

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Protocol Buffers- A Banked Journey - Christopher Reeves

More videos:

  • Review - justforfunc #30: The Basics of Protocol Buffers
  • Review - Complete Introduction to Protocol Buffers 3 : How are Protocol Buffers used?

Category Popularity

0-100% (relative to Presto DB and Protocol Buffers)

Presto DB

Protocol Buffers

Data Dashboard
100 100%
Data Dashboard
0% 0
Configuration Management
0 0%
Configuration Management
100% 100
Database Tools
100 100%
Database Tools
0% 0
Web Servers
0 0%
Web Servers
100% 100

User comments

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Social recommendations and mentions

Based on our record, Protocol Buffers should be more popular than Presto DB. It has been mentiond 23 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.

Presto DB mentions (10)

  • Data Warehouses and Data Lakes: Understanding Modern Data Storage Paradigms 📦
    Follow Presto at Official Website, Linkedin, Youtube, and Slack channel to join the community. - Source: dev.to / 8 days ago
  • Introduction to Presto: Open Source SQL Query Engine that's changing Big Data Analytics
    In today's data-driven world, organizations face a constant challenge: how to analyse massive datasets quickly and efficiently without moving data between disparate systems. Presto, an open-source distributed SQL query engine that's revolutionizing how we approach big data analytics. - Source: dev.to / 8 days ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Presto: Presto is an open-source distributed SQL query engine that enables querying data from various sources. It provides fast and interactive analytics capabilities, supporting a wide range of data formats and integration with different storage systems. - Source: dev.to / 23 days ago
  • Using IRIS and Presto for high-performance and scalable SQL queries
    The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known... - Source: dev.to / 3 months ago
  • Parsing logs from multiple data sources with Ahana and Cube
    Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 3 years ago
View more

Protocol Buffers mentions (23)

  • Pulumi Gestalt 0.0.1 released
    A schema.json converter for easier ingestion (likely supporting Avro and Protobuf). - Source: dev.to / about 2 months ago
  • Understanding Protocol Buffers: A Fast Alternative to JSON
    Protocol Buffers Documentation Protobuf Json JSON in API Development. - Source: dev.to / 5 months ago
  • gRPC: what is it? An introduction...
    For our luck, Go is one of the 11 languages with official libraries. It is important to say that the framework uses Protocol Buffer to serialize the message. The first step then is to install locally the protobuf and its Go plugins:. - Source: dev.to / 7 months ago
  • Why should we use Protobuf in Web API as data transfer protocol.
    Note: Clients and services will ignore field numbers they do not recognize. For more details about Protobuf, visit protobuf.dev. - Source: dev.to / 8 months ago
  • JSON vs FlatBuffers vs Protocol Buffers
    Protobuf (Protocol Buffers), created by Google, is, according to the official website :. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Presto DB and Protocol Buffers, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

TOML - TOML - Tom's Obvious, Minimal Language

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Messagepack - An efficient binary serialization format.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

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