Software Alternatives, Accelerators & Startups

Protobuf VS ArangoDB

Compare Protobuf VS ArangoDB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Protobuf logo Protobuf

Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • Protobuf Landing page
    Landing page //
    2023-08-29
  • ArangoDB Landing page
    Landing page //
    2023-01-20

Protobuf features and specs

  • Efficient Serialization
    Protobuf is known for its high efficiency in serializing structured data. It is faster and produces smaller size messages compared to JSON or XML, making it ideal for bandwidth-limited and resource-constrained environments.
  • Language Support
    Protobuf supports multiple programming languages including Java, C++, Python, Ruby, and Go. This makes it versatile and useful in heterogeneous environments.
  • Versioning Support
    It natively supports schema evolution without breaking existing implementations. Fields can be added or removed over time, ensuring backward and forward compatibility.
  • Type Safety
    Being a strongly typed data format, Protobuf ensures that data is correctly typed across different systems, preventing serialization and deserialization errors common with loosely typed formats.

Possible disadvantages of Protobuf

  • Learning Curve
    Protobuf requires learning and understanding its schema definitions and compiler usage, which might be a challenge for new developers.
  • Lack of Human Readability
    Serialized Protobuf data is in a binary format, making it less readable and debuggable compared to JSON or XML without specialized tools.
  • Limited Built-in Support for Complex Data Types
    By default, Protobuf does not provide comprehensive support for handling complex data types like maps or unions compared to some other data serialization formats, requiring workarounds.
  • Tooling Requirement
    Using Protobuf necessitates a compilation step where `.proto` files are converted into code, requiring additional tooling and build system integration.

ArangoDB features and specs

  • Graph DB

Protobuf videos

StreamBerry, part 2 : introduction to Google ProtoBuf

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to Protobuf and ArangoDB)
Configuration Management
100 100%
0% 0
Databases
0 0%
100% 100
Mobile Apps
100 100%
0% 0
NoSQL Databases
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 Protobuf and ArangoDB

Protobuf Reviews

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ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Social recommendations and mentions

Based on our record, Protobuf seems to be a lot more popular than ArangoDB. While we know about 83 links to Protobuf, we've tracked only 6 mentions of ArangoDB. 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.

Protobuf mentions (83)

  • JSON vs Protocol Buffers vs FlatBuffers: A Deep Dive
    Protocol Buffers, developed by Google, is a compact and efficient binary serialization format designed for high-performance data exchange. - Source: dev.to / 2 months ago
  • Developing games on and for Mac and Linux
    Protocol Buffers: https://developers.google.com/protocol-buffers. - Source: dev.to / about 2 years ago
  • Adding Codable conformance to Union with Metaprogramming
    ProtocolBuffers’ OneOf message addresses the case of having a message with many fields where at most one field will be set at the same time. - Source: dev.to / over 2 years ago
  • Logcat is awful. What would you improve?
    That's definitely the bigger thing. I think something like Protocol Buffers (Protobuf) is what you're looking for there. Output the data and consume it by something that can handle the analysis. Source: over 2 years ago
  • Bitcoin is the "narrow waist" of internet-based value
    These protocols prevent an O(N x M) explosion of code that have to solve for many cases. For example, since JSON is an almost ubiquitous format for wire transfer (although other things do exist like protobufs), if I had N data formats that I want to serialize, I only need to write N serializers/deserializers (SerDes). If there was no such narrow waist and there were M alternatives to JSON in wide usage, I would... Source: over 2 years ago
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ArangoDB mentions (6)

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What are some alternatives?

When comparing Protobuf and ArangoDB, you can also consider the following products

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Messagepack - An efficient binary serialization format.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.