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Apache Thrift VS Basedash

Compare Apache Thrift VS Basedash and see what are their differences

Apache Thrift logo Apache Thrift

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

Basedash logo Basedash

Connect your database. Get an admin panel. Basedash is an AI-generated interface to visualize, edit, and explore your data.
  • Apache Thrift Landing page
    Landing page //
    2019-07-12
  • Basedash Landing page
    Landing page //
    2023-11-29

Apache Thrift videos

Apache Thrift

Basedash videos

Build an admin panel in 3 minutes with Basedash

Category Popularity

0-100% (relative to Apache Thrift and Basedash)
Web Servers
100 100%
0% 0
Productivity
0 0%
100% 100
Web And Application Servers
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Thrift seems to be a lot more popular than Basedash. While we know about 12 links to Apache Thrift, we've tracked only 1 mention of Basedash. 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 Thrift mentions (12)

  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / 4 months ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: over 1 year ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: over 1 year ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 1 year ago
  • 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
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Basedash mentions (1)

  • No-code - Create a backend from a REST API
    I would recommend you to check Basedash It might be helpful in your case. Source: about 1 year ago

What are some alternatives?

When comparing Apache Thrift and Basedash, you can also consider the following products

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.

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Retool - Build custom internal tools in minutes.

Docker Hub - Docker Hub is a cloud-based registry service

Forest App - Forest is an app that helps you stay focused on the important things in life.