AMPS (Advanced Message Processing System)

AMPS (Advanced Message Processing System) is a high-performance publish-subscribe messaging engine designed for real-time financial services and other low-latency applications.

Reviewed by 7wData
API Available

On this page

Publisher review

AMPS (Advanced Message Processing System) is a high-performance publish-subscribe messaging engine designed for real-time financial services and other low-latency applications. It combines capabilities of a message bus, queue, database, and analytics engine into a single platform, targeting enterprises that need to process billions of messages daily with sub-millisecond latency. The system is particularly suited for trade plant operations, risk calculations, and global financial messaging where microseconds matter.

Developed by 60East Technologies, AMPS serves organizations that require rock-solid messaging infrastructure proven in worldwide production environments. AMPS stands out with its ability to handle multiple message formats including JSON, BSON, FIX/NVFIX, XML, and Google Protocol Buffers across various network transports. Its architecture exploits modern multicore processors and 10Gb Ethernet networks, scaling from small deployments to large distributed systems.

The platform provides built-in analytics with real-time aggregation across multiple topics, even when they contain different data types. A unique state-of-the-world cache maintains consistency across client-side caches, while content-aware filtering prevents unnecessary message propagation. Compared to traditional message brokers like RabbitMQ or Kafka, AMPS offers finer-grained content filtering and lower latency for financial workflows, though with less emphasis on massive log retention.

The system integrates security features including SSL/TLS encryption and content-aware permissions, crucial for regulated industries. While excelling in performance, AMPS requires more memory for aggregated subscriptions as each computation happens individually. The platform's transport agnosticism comes with the trade-off of potentially higher complexity when managing multiple message formats simultaneously.

Get the AI & data signal, daily.

335k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. Low-latency messaging

    Processes billions of daily messages with sub-millisecond latency, optimized for financial services and real-time systems

  2. Multicore scalability

    Designed to fully utilize modern multicore processors and 10Gb Ethernet networks from small to large deployments

  3. Content-aware filtering

    Filters messages by both topic and content attributes to minimize unnecessary data transmission

  4. Multi-format support

    Handles JSON, BSON, FIX/NVFIX, XML, Google Protocol Buffers and binary formats across TCP/IP and WebSockets

  5. Real-time aggregation

    Computes analytics across multiple topics with different data types without pre-processing

  6. State-of-world cache

    Maintains consistent client-side caches with queryable current message snapshots

  7. Integrated security

    Provides SSL/TLS encryption and content-aware permissions for regulated environments

Strengths and trade-offs

Strengths

  • Processes billions of messages daily with sub-millisecond latency for financial trading systems.
  • Supports seven message formats including FIX/NVFIX and Protocol Buffers without conversion overhead.
  • Maintains nanosecond-level consistency across distributed caches via state-of-the-world implementation.
  • Provides content-aware permissions that evaluate message payloads for fine-grained access control.

Trade-offs

  • Aggregated subscriptions require individual computation for each client, increasing memory usage.
  • Complex content filtering may impact throughput when processing high-volume, small-payload messages.
  • Lacks built-in long-term message retention capabilities compared to log-based systems like Kafka.
  • Multi-format support introduces additional configuration complexity for mixed payload environments.

Pricing context

Not publicly disclosed; enterprise pricing based on deployment scale and support requirements

Getting started with AMPS (Advanced Message Processing System)

  1. Request evaluation license

    Contact 60East Technologies to obtain an evaluation license. Provide details about your intended use case and deployment requirements.

  2. Install AMPS server

    Download the AMPS distribution package for your operating system. Follow the platform-specific installation guide to deploy the server component.

  3. Configure network transports

    Set up TCP/IP or WebSocket endpoints in the server configuration file. Define ports, protocols, and security settings for each transport layer.

  4. Define message formats

    Specify supported message formats (JSON, FIX, etc.) in the configuration. Create topic structures that align with your application's data flow requirements.

  5. Implement client connection

    Use AMPS client libraries to establish publisher/subscriber connections. Configure content filters and subscriptions based on your use case.

Frequently Asked Questions

What is AMPS in messaging systems?

AMPS (Advanced Message Processing System) is a high-performance publish-subscribe messaging engine for real-time financial services. It combines message bus, queue, database, and analytics capabilities, handling billions of daily messages with sub-millisecond latency. It supports multiple formats including JSON, FIX, and Protocol Buffers for trade operations.

How does AMPS achieve low latency messaging?

AMPS achieves sub-millisecond latency by optimizing for modern multicore processors and 10Gb Ethernet networks. Its architecture minimizes overhead through content-aware filtering and direct message processing without format conversion. The system scales from small deployments to large distributed systems while maintaining nanosecond-level cache consistency.

What industries benefit most from AMPS?

Financial services benefit most from AMPS, especially trade plant operations, risk calculations, and global financial messaging where microseconds matter. Regulated industries value its SSL/TLS encryption and content-aware permissions. Any enterprise needing real-time processing of billions of daily messages with strict latency requirements would benefit.

How does AMPS compare to Kafka for financial systems?

AMPS offers lower latency and finer-grained content filtering than Kafka, making it better for real-time financial workflows. However, Kafka excels at massive log retention. AMPS processes multiple message formats natively, while Kafka requires conversion. Memory usage is higher in AMPS for aggregated subscriptions.

What message formats does AMPS support?

AMPS supports JSON, BSON, FIX/NVFIX, XML, Google Protocol Buffers, and binary formats across TCP/IP and WebSockets. This multi-format capability eliminates conversion overhead but adds configuration complexity. The system handles different data types simultaneously for real-time aggregation across topics.

What are the limitations of AMPS?

AMPS requires more memory for aggregated subscriptions as each computation happens individually. Complex content filtering may reduce throughput with high-volume small messages. It lacks long-term retention features of log-based systems. Managing multiple message formats simultaneously increases configuration complexity compared to single-format solutions.

Alternatives

How AMPS (Advanced Message Processing System) compares

Direct head-to-head against 2 competitors. Picked by 7wData.

This tool

AMPS (Advanced Message Processing System)

Pricing
Not publicly disclosed; enterprise pricing based on deployment scale and support requirements
Target
AMPS (Advanced Message Processing System) is a high-performance publish-subscribe messaging engine designed for real-time financial services and other low-latency applications.
Strength
Processes billions of messages daily with sub-millisecond latency for financial trading systems.
Watch for
Aggregated subscriptions require individual computation for each client, increasing memory usage.

RabbitMQ

Pricing
Free open-source core, commercial support plans from $999/year
Target
General-purpose message queuing with broad protocol support
Deployment
On-prem, cloud, container
Strength
Widely adopted AMQP standard with extensive plugin ecosystem
Watch for
Lower throughput (40x slower than AMPS per vendor benchmarks)

Apache Kafka

Pricing
Open-source, Confluent commercial from $0.10/message
Target
Distributed event streaming at scale
Deployment
On-prem, cloud, managed service
Strength
Horizontally scalable log-based architecture for event streams
Watch for
Higher operational complexity for real-time use cases

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. www.60east.com
  2. crankuptheamps.com
  3. crankuptheamps.com
  4. crankuptheamps.com