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XML vs TONL: Data Format Comparison for AI Applications

Compare XML vs TONL for LLM applications: query capabilities, streaming, schema validation, and advanced optimization strategies.

By JSON to TOON Team

While XML offers mature tooling like XPath and XSD, TONL provides a modern alternative with built-in query APIs, streaming support, and advanced optimization. For LLM applications requiring both efficiency and powerful data manipulation, TONL delivers enterprise-grade capabilities with up to 69% token savings.

The Contenders

XML

Pros:

  • Mature ecosystem with XPath, XSLT, XSD.
  • Industry standard for enterprise integrations.
  • Strong schema validation capabilities.
  • Streaming parsers available (SAX, StAX).

Cons:

  • Extreme verbosity and token overhead.
  • Complex query syntax (XPath learning curve).
  • No built-in optimization strategies.
  • Memory-intensive for large documents.

TONL

Pros:

  • Built-in JSONPath-like query API.
  • Native streaming for multi-GB files.
  • Schema validation with TSL (13 constraints).
  • Advanced optimization (dictionary, delta, RLE).

Cons:

  • Newer format, growing ecosystem.
  • No XSLT-equivalent transformation language.
  • Requires migration from XML workflows.

Query Capabilities Comparison

Both formats offer query capabilities, but with different approaches and complexity levels.

XML with XPath:

// Select all user names
//user/name/text()

// Filter by role
//user[role='admin']/name

// Complex nested query
//orders/order[total > 100]/items/item[quantity > 5]

TONL Query API:

// Select all user names
doc.query('users[*].name');

// Filter by role
doc.query('users[?(@.role == "admin")].name');

// Aggregation (not available in XPath)
doc.sum('orders[*].total');
doc.avg('orders[*].items[*].quantity');
doc.groupBy('users[*]', 'role');

// Fuzzy matching (unique to TONL)
import { fuzzySearch } from 'tonl/query';
fuzzySearch('Jon', ['John', 'Jane', 'Bob']);

Syntax Comparison

XML Example (267 bytes, ~160 tokens):

<?xml version="1.0" encoding="UTF-8"?>
<users>
  <user>
    <id>1</id>
    <name>Alice</name>
    <role>admin</role>
  </user>
  <user>
    <id>2</id>
    <name>Bob</name>
    <role>user</role>
  </user>
</users>

TONL Example (105 bytes, ~49 tokens - 69% reduction):

#version 1.0
users[2]{id:u32,name:str,role:str}:
  1, Alice, admin
  2, Bob, user

Advanced Features

Schema Validation

XML (XSD):

<xs:schema>
  <xs:element name="user">
    <xs:complexType>
      <xs:sequence>
        <xs:element name="id"
          type="xs:integer"/>
        <xs:element name="name">
          <xs:simpleType>
            <xs:restriction
              base="xs:string">
              <xs:minLength
                value="3"/>
              <xs:maxLength
                value="20"/>
            </xs:restriction>
          </xs:simpleType>
        </xs:element>
      </xs:sequence>
    </xs:complexType>
  </xs:element>
</xs:schema>

TONL (TSL):

@schema v1
@strict true

User: obj
  id: u32 required
  name: str required
    min:3 max:20
  email: str required
    pattern:email
  roles: list<str>
    required min:1

Optimization Strategies

TONL includes built-in optimization that XML lacks:

StrategyDescriptionSavings
Dictionary EncodingString deduplication with references30-50%
Delta EncodingSequential value compression40-60%
Bit PackingBoolean/small int compression87.5%
Run-Length EncodingRepetitive value compression50-80%

Streaming Comparison

Both formats support streaming, but with different approaches:

  • XML (SAX/StAX): Event-based parsing, complex callback handling, no built-in query during stream.
  • TONL: Native streaming with query support, handles multi-GB files with minimal memory, automatic chunking.

Performance Benchmarks

MetricXMLTONLImprovement
Token Count (100 records)6,5001,98070%
Encoding Speed1.0x12-15x12-15x faster
Query ExecutionXPath (slow)Native (fast)5-10x faster
Monthly Cost (10K req)$650$198$5,424/year

When to Use Which?

Stick with XML if:

  • You need XSLT transformations or complex XPath queries.
  • Enterprise systems mandate XML (SOAP, HL7, etc.).
  • You require XML-specific features (attributes, namespaces).
  • Regulatory compliance requires XML format.

Switch to TONL if:

  • You need both token efficiency AND query capabilities.
  • You're building LLM-powered data pipelines.
  • You work with large datasets requiring streaming.
  • You want built-in optimization without external tools.
  • Schema validation with simpler syntax appeals to you.

Final Verdict

XML remains the standard for enterprise integrations and systems requiring XSLT transformations. However, for modern LLM applications, TONL provides a compelling alternative with native query APIs, streaming support, and advanced optimization—all while delivering 70% token savings.

For simpler use cases focused purely on token efficiency, see our XML vs TOON comparison. Learn more about TONL features or explore API cost optimization strategies.

XMLTONLComparisonLLMQuery APISchema Validation