Software Alternatives, Accelerators & Startups

Apache ORC VS gRPC

Compare Apache ORC VS gRPC and see what are their differences

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.

gRPC logo gRPC

Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
  • Apache ORC Landing page
    Landing page //
    2022-09-18
  • gRPC Landing page
    Landing page //
    2024-05-27

Apache ORC videos

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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?

Category Popularity

0-100% (relative to Apache ORC and gRPC)
Databases
100 100%
0% 0
Web Servers
0 0%
100% 100
Big Data
100 100%
0% 0
Developer 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 Apache ORC and gRPC

Apache ORC Reviews

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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

Social recommendations and mentions

Based on our record, gRPC seems to be a lot more popular than Apache ORC. While we know about 91 links to gRPC, we've tracked only 3 mentions of Apache ORC. 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.

Apache ORC mentions (3)

  • Java Serialization with Protocol Buffers
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
  • AWS EMR Cost Optimization Guide
    Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / over 2 years ago
  • Apache Hudi - The Streaming Data Lake Platform
    The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / almost 3 years ago

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 / 5 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 / 11 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 / 24 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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What are some alternatives?

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

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

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

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

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.

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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