• SMDS Direct Feed Handler Vela In today’s competitive market, algorithmic trading firms must move closer to the exchange to reduce latency. Members must adapt their ...
  • Slingshot Dion Global Solutions Slingshot is a streaming data solution for the internet, intranet and extranet. Financial facts and figures on FX and interest rates, quotes, ...
  • Invision Dion Global Solutions InVision, a market data distribution system (MDDS), delivers and presents information for companies and stock brokers who use streaming data ...
  • Xignite Market Data Cloud xignite The Xignite Market Data Cloud is a platform that reduces infrastructure headaches and expenses by hosting market data in the cloud. It is the ...
  • Managed Data Services Broadridge Financial Solutions Broadridge’s Managed Data Service offers a complete solution to help you meet rising regulatory demands for data consistency, transparency ...
  • Data Distribution Streamscape Data Distribution - Real-Time Data Distribution is at the heart of any agile enterprise that wishes to be responsive to it's customers needs. ...
  • Market data distribution Solace Systems Interruptions and inconsistency in the supply of market data can cause financial firms to lose as much money in a few minutes as they usually ...
  • Lightstreamer Weswit Srl Lightstreamer is a world-class solution for pushing real-time data through the Internet, with full support for any desktop and mobile web ...
  • NxCore Nanex NxCore (pronounced n'core) is a high-performance ticker plant that brings the whole market to your workstation or desktop computer. NxCore ...
  • KTier IKINDI The IKINDI KTier™ FinTech solution in the cloud is the first data integration platform for Investment Managers which provides a powerful ...
  • PICOS/FRM Multi Contribution System Human Engineering AG The system allows concurrent distribution of financial information input to all the well-known “public” services (Thomson Reuters, Bloomberg, ...
  • MarketHub Spearhead and Partners Ltd B2N MarketHub is a monitoring and data broadcasting technology, allowing traders, brokers and financial analysts to track and publish changes ...
  • Market Data: EPS & Revenue Benzinga The cleanest figures allow peace of mind when comparing data to analyst expectations. Investors can also build the most reliable models ...
  • Ultra Low Latency Market Data Celoxica ULTRA LOW LATENCY MARKET DATA - Celoxica provides Hardware Accelerated Market Data Feed Handlers for the main Equity, Options, Futures, Fixed ...
  • Distribution of Market Data Feeds Vela Vela's distribution of market data feeds is a fully-featured combination of software and services, designed to build a platform in support of ...
search results
no results
Throbber
Show results & filters

DATA DISTRIBUTION SERVER EVALUATION

CHOICE

Client-Server

With a “hub-and-spoke” system consisting of  a Web server or a centralized database, client-server will work well for the application. If multiple nodes are generating information, client-server architectures will require that all information be sent to the server for subsequent redistribution to the clients. TCP also requires dedicated resources for each connection and does not scale well for extended data distribution in larger systems due to the set-up time and maintenance needs of each connection.

Message Passing Message-passing architectures implement queues of messages as a fundamental design paradigm. Message passing allows direct peer-to-peer connections. A message-passing design is best if you do not need a data-centric model: With this architecture there is no real model of the data itself, only a model of  a means to transfer data. Application portability and integration with nodes outside the OS are an issue to consider.  

Publish-Subscribe  Adds a data model to messaging such that messages pass directly between the communicating nodes without requiring intermediate servers. Multiple sources and sinks are defined within the model for natural redundancy and fault tolerance. If the message-passing dataflow was difficult to draw, try it again with each node just publishing the data it knows and subscribing to what it needs. The data model means you can essentially ignore the complexity of the data flow.

FEATURES

  • Low Latency
  • Ultra Low Latency
  • In-memory database
  • Supports just-in-time data delivery
  • No distribution hub required
  • Data serialization
  • Data routing and distribution rules definable ?
  • Data Object Classification and Taxonomy
  • Supports access control lists
  • Supports certified delivery
  • Object Management Group (OMG) specification
  • Data Distribution Service (DDS) Interoperability
  • Real-Time Publish Subscribe (RTPS)