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RION (Raw Internet Object Notation) is a binary format created by Nanosai for exchanging data in distributed systems. Its length-aware fields are designed to make data compact and quick to process, while allowing readers to inspect or skip parts of a message without decoding everything. It can also be used for files, logs, and HTTP messages.
What is RION?
RION is a self-describing binary data format: its encoded fields carry information that helps a reader identify and navigate their contents without requiring a separate schema for every message. It was created by Nanosai, a distributed-systems research and development company. The project was originally called ION; according to RION author Jakob Jenkov, it was renamed after Amazon released a similarly named ION format.
The format is intended to represent data commonly handled as CSV, JSON, or XML, while also supporting typed binary values. Nanosai identifies the open-source RION Ops toolkit for Java, the IAP message-oriented application protocol, and the Stream Ops data-streaming engine as parts of the surrounding ecosystem.
How RION encoding works
Length-aware, typed fields
RION uses a binary, type-and-length-oriented structure. Its documented primitive fields include raw bytes, booleans, integers, floating-point numbers, UTF-8 text, and UTC date-time values. The format also defines composite Array, Table, and Object fields. These can be nested to represent structures such as trees, tables, maps, and object graphs. Raw-byte fields can carry content such as JPEG or MP3 data.
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RION also supports typed null values: a null can retain information about the kind of value it represents, rather than being only an untyped absence. The design goals include cyclic object-graph support, but that is a stated goal, not a guarantee that every implementation or use case supports cyclic graphs.
Partial parsing and navigation
A reader can use a field’s lead byte and length information to skip a value it does not need. It can also skip an entire composite field without inspecting every nested byte. That makes selective reading possible without first materializing a complete object tree. The same length-aware structure is intended to help software navigate nested data and identify message boundaries when routing messages.
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RION vs. JSON: what changes?
JSON is text; RION is binary. JSON is easy to inspect in a text editor and broadly familiar, while RION’s binary representation is designed to reduce text-format overhead and support typed values such as raw bytes. RION’s ability to skip length-delimited fields can also suit readers that need only part of a message. Those benefits come with a practical cost: binary data is less immediately readable, and a team needs compatible RION tooling to encode, inspect, and decode it.
RION’s author reported the following results in 2020. These are project-reported measurements, not independent or current guarantees:
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| Reported result | Qualification |
|---|---|
| Up to 1000% speed improvement over Jackson JSON | Jakob Jenkov’s 2020 report; the result is a reported upper bound, not a typical or universal result. |
| Average speed increase of 50% to 200% over Jackson JSON | Jakob Jenkov’s 2020 report; results depend on the tested data and implementation. |
| RION objects averaged 10% to 20% smaller than corresponding JSON messages | Jakob Jenkov’s 2020 report; the comparison concerns the tested corresponding messages. |
| RION table data could be less than one third the size of equivalent JSON object arrays | Jakob Jenkov’s 2020 report; this applies to the reported table-data comparison. |
The benchmark page describes tests using the Java Microbenchmark Harness (JMH), Java JDK 1.8.0_u60, and an Intel Core i7-4770 Quad-Core Haswell server with no other workload. The benchmark code was published on GitHub. The page compares RION with JSON, Google Protocol Buffers, MessagePack, and CBOR, but the reported figures above provide specific speed and size claims only against Jackson JSON. They do not establish a ranking against the other formats.
Benchmark numbers are sensitive to the shape and types of the data, the library and API used, the runtime, and the hardware. They should be treated as historical evidence of the project’s intended trade-offs—not as a prediction of how a current application will perform.
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How RION compares with Protocol Buffers, MessagePack, and CBOR
The formats should not be treated as interchangeable based on the available performance figures alone. The RION benchmark page includes Protocol Buffers, MessagePack, and CBOR in its comparison, but the specific published numbers summarized here do not establish which one is faster or smaller. RION’s distinguishing documented features include schema-optional inspection, typed nulls, raw-byte fields, and partial traversal of length-aware composites. Whether those matter more than an alternative’s ecosystem or schema model depends on the application.
- Choose what to evaluate: compare payload sizes for your actual message shapes, and measure the read and write paths your application will use.
- Check integration needs: consider the languages, tooling, and interoperability requirements of every service that must produce or consume the data.
- Test realistic workloads: include selective reads and routing if those are important; a benchmark that fully decodes every message may not represent those uses.
What is RION used for?
Nanosai describes RION as suitable for data exchange in distributed systems as well as data storage. Listed uses include data files, log files, binary messages over HTTP, and microservice requests and responses. It is also the default encoding for IAP, a message-oriented application protocol, and the record encoding used by Stream Ops, an embeddable streaming engine.
These examples show the range of intended uses, not proof that RION is a standard or that every HTTP client, database, logging system, or service supports it natively. Teams considering it should account for how data will be inspected, versioned, and exchanged across their own systems.
Is there a Java library for RION?
Yes. RION Ops for Java is identified as an open-source toolkit for reading and writing RION. The available description establishes that the toolkit exists, but does not establish its current release, maintenance status, or compatibility with particular Java versions. Check those details before adopting it for a new project.
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