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gRPC VS Presto DB

Compare gRPC VS Presto DB and see what are their differences

gRPC logo gRPC

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

Presto DB logo Presto DB

Distributed SQL Query Engine for Big Data (by Facebook)
  • gRPC Landing page
    Landing page //
    2024-05-27
  • Presto DB Landing page
    Landing page //
    2023-03-18

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?

Presto DB videos

No Presto DB videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to gRPC and Presto DB)
Web Servers
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Developer Tools
100 100%
0% 0
Database Tools
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 Presto DB

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

Presto DB Reviews

We have no reviews of Presto DB yet.
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Social recommendations and mentions

Based on our record, gRPC seems to be a lot more popular than Presto DB. While we know about 91 links to gRPC, we've tracked only 6 mentions of Presto DB. 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 (91)

  • Text-based language processing enhanced with AI/ML
    Aside from the obvious differences in client library nomenclature and use of different credentials, API usage is fairly similar. Not visually obvious is that the older platform client library calls the REST versions of the GCP APIs whereas the newer product client libraries call the gRPC versions which generally perform better... Yet another reason why the product client libraries are always recommended. - Source: dev.to / 3 days ago
  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 9 days ago
  • Best Practices for Building Microservices with NestJS
    Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 21 days ago
  • Why Did Google Choose To Implement gRPC Using HTTP/2?
    gRPC is an open-source high-performance RPC framework developed by Google. The design goal of gRPC is to run in any environment, supporting pluggable load balancing, tracing, health checking, and authentication. It not only supports service calls within and across data centers but is also suitable for the last mile of distributed computing, connecting devices, mobile applications, and browsers to backend services.... - Source: dev.to / about 1 month ago
  • Difference between GraphQL, REST, and gRPC
    And, gRPC is a high-performance, open-source protocol used for creating APIs. It uses Google's Protocol Buffers as a data format and provides support for streaming and bi-directional communication. - Source: dev.to / about 1 month ago
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Presto DB mentions (6)

  • 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 / about 2 years ago
  • Can a data warehouse be skipped?
    Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: over 2 years ago
  • why use Redshift if we can use S3 to store data and can connect with Quicksight for dashboarding?
    So there is Presto, which is a distributed SQL engine created by Facebook. Source: over 2 years ago
  • Understanding AWS Athena 101
    You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / almost 3 years ago
  • ETL tool for query building across multiple databases in Mongo DB
    Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago
View more

What are some alternatives?

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

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

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

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

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.

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

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.