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Based on our record, Protocol Buffers should be more popular than Presto DB. It has been mentiond 18 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.
You will notice the code above prints out an array of numbers that only mean something to you if you are an all-knowing AI. These numbers are generated using Google's Protocol Buffers (also refered to as protobuf). - Source: dev.to / 7 days ago
The compact nature of VelocyPack also benefits data transmission over networks. Smaller data sizes mean less bandwidth usage and faster transmission times, essential for distributed databases and applications that rely on real-time data. Protocol Buffers (Protobuf) by Google is another binary format with similar advantages; VelocyPack's integration with ArangoDB offers seamless usage within this specific database... - Source: dev.to / 18 days ago
Flyxc messages are based on protocol buffers ("protobuf" if you want to sound cool). They are not human readable but much more compact and faster for computers to work with:. - Source: dev.to / about 1 month ago
> Aren’t a standard You mean like an IETF standard? That is true, although the specification is quite simple to implement. It is certainly a de-facto standard, even if it hasn’t been standardized by the IETF or IEEE or ANSI or ECMA. > inherently limits anything built on top of them to not be a standard either I’m not sure that strictly follows. https://datatracker.ietf.org/doc/html/rfc9232 for example directly... - Source: Hacker News / 5 months ago
The MQTT protocol is widely used in IoT applications because of its simplicity and ability to connect different data sources to applications using a publish/subscribe model. While many MQTT brokers support persistent sessions and can store message history as long as an MQTT client is not available, there may be cases where data needs to be stored for a longer period. In such cases, it is recommended to use a time... - Source: dev.to / 6 months ago
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
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: about 2 years ago
So there is Presto, which is a distributed SQL engine created by Facebook. Source: over 2 years ago
You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / almost 3 years ago
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
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.
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.
Eno - Fast, human readable, plain-text data 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.