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Top Data Latency Companies

The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers

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60 companies for Data Latency

Lipperhey's Logo

Lipperhey

Amsterdam, Netherlands

A

1-10 Employees

2009

Key takeaway

Dataprovider.com specializes in transforming web data into a structured database, providing actionable insights and unique intelligence that can be integrated into various applications. Their focus on creating an accessible and organized data source suggests they prioritize minimizing data latency for users seeking immediate access to information.

Reference

Product

Technology Recipes | Dataprovider.com

At Dataprovider.com we transform the internet into a structured database of web data. Use our software to gain unique insights into companies.

Latence Technologies Inc.'s Logo

Latence Technologies Inc.

Montreal, Canada

A

1-10 Employees

2020

Key takeaway

LatenceTech specializes in providing real-time solutions to latency issues, particularly related to 5G and LTE networks. Their AI-enabled, cloud-native monitoring system allows for tracking, predicting, and optimizing network performance, ensuring stable low latency and high reliability.

Reference

Product

Our Products & Services

LatenceTech offers a SAAS-based & AI-enabled solution to track, predict and monetize, in real-time, 5G Quality of Service towards the B2B Industrial segment.

AlphaFlash's Logo

AlphaFlash

Chicago, United States

B

51-100 Employees

2005

Key takeaway

AlphaFlash® specializes in providing ultra low-latency, machine-readable feeds of global macroeconomic indicators and Treasury Auction data, making it an ideal choice for algorithmic trading applications. Their proprietary technology and seamless API integration ensure that clients receive timely and accurate data, crucial for minimizing data latency in trading strategies.

Reference

Core business

Machine-readable Global Macro-Economic Data - AlphaFlash - AlphaFlash

Ultra low latency Machine Readable News and Event Data ideally suited for integration into Algorithmic Trading Applications and Investors.

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Millistream Market Data's Logo

Millistream Market Data

Gothenburg, Sweden

A

1-10 Employees

2008

Key takeaway

Millistream is a leading market data provider that emphasizes low latency and high throughput in its real-time infrastructure, ensuring clients receive fast and reliable financial data. With access to real-time and historical prices from major exchanges, Millistream supports the Nordic professional financial market and is expanding its international reach.

Reference

Core business

Market data provider, widgets, API and Trader - Millistream

Financial market data provider from exchanges like Nasdaq, NYSE, Deutsche Börse and London Stock Exchange. Real time and delayed via feed API:s and widgets.

Raptor Financial Technologies | a Fusion Systems company's Logo

Raptor Financial Technologies | a Fusion Systems company

Minato, Japan

A

11-50 Employees

2005

Key takeaway

Raptor offers contractually committed ultra-low latency solutions, with native latency under 200 nanoseconds and FIX options under 12 microseconds, ensuring efficient data handling for high-frequency algorithmic trading across multiple asset classes.

Reference

Core business

Low Latency Market Access & Risk Management | APAC & Tokyo | Raptor

Raptor provides normalized low latency FPGA market access / connectivity for onboarding the highest-value order flows with comprehensive risk management, across Asia Pacific exchange venues, incl., Japan, Hong Kong, India, Australia, Singapore, South Korea, Thailand, Malaysia, Indonesia etc.

Global Financial Datafeeds's Logo

Global Financial Datafeeds

Nashik, India

D

251-500 Employees

-

Key takeaway

Global Financial Datafeeds LLP (GFDL) is a leading provider of real-time data services for Indian Stock Exchanges, ensuring low latency and accurate live data delivery to traders. With a focus on reliable streaming and integration with multiple platforms, GFDL empowers traders to make informed decisions quickly.

Reference

Product

NimbleDataProVM | Global Datafeeds

bloXroute Labs's Logo

bloXroute Labs

Evanston, United States

B

11-50 Employees

2018

Key takeaway

bloXroute offers solutions that significantly reduce data latency by providing faster prices, private transactions, and expedited trade execution. Their services include real-time block streaming and direct peering with validators, ensuring quicker transaction propagation compared to other providers.

Reference

Product

bloXroute - Fastest Mempool Data, Transaction Propagation, Block Stream

50-200 ms faster than any mempool service. Be first with bloXroute. Unlock new crypto trading strategies, Frontrunning Protection, Flashbots MEV Relays

Liquidity Connect LLC's Logo

Liquidity Connect LLC

Sugar Land, United States

B

11-50 Employees

2010

Key takeaway

Liquidity Connect emphasizes the importance of low latency in trading, offering dedicated hardware and rapid deployment of virtual machines to ensure quick execution. Their infrastructure services include direct fiber optic connectivity to key financial providers, enhancing performance for capital markets institutions.

Reference

Core business

| Liquidity Connect - Low Latency Matters Because Low Latency Matters.

Options Technology's Logo

Options Technology

London, United Kingdom

A

251-500 Employees

1993

Key takeaway

Options Technology is focused on providing a robust IT infrastructure that supports the evolving needs of the financial services sector, which is crucial for addressing data latency challenges in high-frequency trading and market operations. Their expertise in delivering scalable financial technology solutions positions them well to enhance performance and reduce latency for their clients.

Reference

Product

Latency Matrix – Options IT

CAI Harderwijk's Logo

CAI Harderwijk

Harderwijk, Netherlands

A

- Employees

-

Key takeaway

The company's text highlights that multiple providers, including KPN and Delta, utilize CAI Harderwijk's fiber optic network to offer a variety of subscription options. This extensive availability of providers suggests a potential for reduced data latency through diverse service choices.

Reference

Core business

Providers


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Things to know about Data Latency

What is Data Latency?

Data latency refers to the time delay experienced in the transmission of data from its source to its destination. This delay can occur in various stages, including data processing, network transmission, and data retrieval. High data latency can lead to slower application performance, impacting user experience and overall efficiency. Factors contributing to data latency include network congestion, the physical distance between the source and destination, and the performance of the hardware and software involved in data handling. Reducing latency is crucial for applications requiring real-time data processing, such as online gaming, video conferencing, and financial trading.


How does Data Latency affect system performance?

Data latency significantly impacts system performance by introducing delays in data processing and transmission. When data takes longer to travel between systems or within a network, it can lead to slower response times and decreased efficiency in operations. Applications relying on real-time data may struggle to deliver timely insights, causing bottlenecks that affect user experience and decision-making. Moreover, high data latency can hinder the performance of critical processes, such as transaction processing and data analysis. This can result in increased resource consumption as systems attempt to compensate for delays, ultimately affecting overall productivity and operational costs. Reducing data latency is essential for optimizing system performance and ensuring seamless interactions across various applications.


What factors contribute to Data Latency?

Several factors contribute to data latency in systems. 1. Network Congestion
High levels of traffic on a network can lead to delays as packets of data compete for bandwidth. This congestion can significantly slow down the transmission speed, resulting in increased latency.

2. Distance
The physical distance between data sources and destinations impacts latency. Greater distances require more time for data to travel, especially when using traditional transmission methods.

3. Hardware Limitations
Outdated or underpowered hardware can introduce delays in processing and transferring data. The performance of routers, switches, and servers plays a critical role in overall latency.

4. Protocol Overhead
Network protocols have their own overhead, which includes the time taken to establish connections and transfer data. Protocols that require more handshakes or acknowledgments can increase latency.

5. Data Processing Time
The time taken to process data within applications or databases also contributes to latency. Complex computations or inefficient algorithms can slow down data handling, resulting in delays.

6. Environmental Factors
External influences such as weather conditions can affect wireless signals and overall connectivity, leading to increased latency in data transmission. These factors combined determine the overall data latency experienced in a given environment.


How can Data Latency be minimized?

1. Use of Edge Computing
Implementing edge computing solutions allows data processing to occur closer to the source of the data. This reduces the time it takes for data to travel to a central server and back, significantly lowering latency.

2. Optimizing Network Infrastructure
Improving network infrastructure through high-speed connections, reducing the number of hops data must make, and utilizing efficient routing protocols can effectively minimize data latency. By ensuring that the pathways data takes are as direct and fast as possible, latency can be significantly reduced.

3. Data Compression Techniques
Employing data compression techniques can decrease the amount of data that needs to be transmitted over the network. This not only speeds up the transfer process but also reduces the potential for delays associated with larger data packets.

4. Monitoring and Management Tools
Utilizing advanced monitoring and management tools enables organizations to identify and address latency issues in real-time. By proactively managing network performance, businesses can ensure that data latency remains at an optimal level.


Why is monitoring Data Latency important?

Monitoring data latency is crucial for ensuring optimal performance in data-driven applications. High latency can lead to delays in data processing and decision-making, which may negatively impact user experience and operational efficiency. By tracking data latency, organizations can identify bottlenecks and implement necessary improvements to their systems. Furthermore, consistent monitoring helps maintain the reliability of data transfers between systems. It enables proactive measures to address potential issues before they escalate, ensuring that data flows smoothly and timely across platforms. This vigilance ultimately supports better business outcomes and enhances customer satisfaction.


Insights about the Data Latency results above

Some interesting numbers and facts about your company results for Data Latency

Country with most fitting companiesUnited States
Amount of fitting manufacturers4356
Amount of suitable service providers3840
Average amount of employees11-50
Oldest suiting company1993
Youngest suiting company2020

Geographic distribution of results





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Frequently asked questions (FAQ) about Data Latency Companies

Some interesting questions that has been asked about the results you have just received for Data Latency

Based on our calculations related technologies to Data Latency are Magnets, Printed Electronics, Industrial Amplifiers, Electronic Transducers, Electronic Oscillators

Start-Ups who are working in Data Latency are Latence Technologies Inc.

The most represented industries which are working in Data Latency are IT, Software and Services, Other, Telecommunications, Finance and Insurance, Marketing Services

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Related categories of Data Latency