OneTick Description
OneTick Database has gained widespread acceptance among top banks, brokerages, data vendors, exchanges, hedge funds, market makers, and mutual funds due to its exceptional performance, advanced features, and unparalleled functionality. Recognized as the foremost enterprise solution for capturing tick data, conducting streaming analytics, managing data, and facilitating research, OneTick stands out in the financial sector. Its unique capabilities have captivated numerous hedge funds and mutual funds, alongside traditional financial institutions, enhancing their operational efficiency. The proprietary time series database offered by OneTick serves as a comprehensive multi-asset class platform, integrating a streaming analytics engine and embedded business logic that obviates the necessity for various separate systems. Furthermore, this robust system is designed to deliver the lowest total cost of ownership, making it an attractive option for organizations aiming to optimize their data management processes. With its innovative approach and cost-effectiveness, OneTick continues to redefine industry standards.
OneTick Alternatives
For more than twenty years, QUODD has been at the forefront of providing groundbreaking market data solutions, empowering the financial ecosystem with the most extensive collection of integrated market data APIs available. Our robust data offerings are specifically designed to meet the needs of your business, covering a wide array of market segments and ensuring cloud delivery that guarantees both reliability and scalability.
Experience data tailored to your preferences:
Data Feeds — Enjoy tick-by-tick, real-time streaming from markets worldwide, optimized for the fast-paced demands of trading and analytics.
APIs — Benefit from developer-centric, contemporary integration and authentication protocols suited for fintech companies and financial institutions.
Integrations — Achieve seamless connectivity with downstream systems and enterprise workflows, featuring cloud-native delivery and scalable on-demand options.
With QUODD, you can unlock the potential of your financial operations and stay ahead in a competitive landscape.
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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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JaguarDB
JaguarDB facilitates the rapid ingestion of time series data while integrating location-based information. It possesses the capability to index data across both spatial and temporal dimensions effectively. Additionally, the system allows for swift back-filling of time series data, enabling the insertion of significant volumes of historical data points. Typically, time series refers to a collection of data points that are arranged in chronological order. However, in JaguarDB, time series encompasses both a sequence of data points and multiple tick tables that hold aggregated data values across designated time intervals. For instance, a time series table in JaguarDB may consist of a primary table that organizes data points in time sequence, along with tick tables that represent various time frames such as 5 minutes, 15 minutes, hourly, daily, weekly, and monthly, which store aggregated data for those intervals. The structure for RETENTION mirrors that of the TICK format but allows for a flexible number of retention periods, defining the duration for which data points in the base table are maintained. This approach ensures that users can efficiently manage and analyze historical data according to their specific needs.
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AlternativeSoft
Since its establishment in 2005, AlternativeSoft has streamlined the process of fund selection and portfolio construction for institutional investors. Our alternative investment analytics platform is designed to empower users, creating a personalized investment universe guided by cutting-edge analytics. Data integration is effortless, with compatibility from Bloomberg, Morningstar, Albourne, HFR, EurekaHedge, withintelligence, Preqin and Refinitiv.
Users can quickly:
- Navigate manager risk/return with over 3000 statistics on funds
- Define your funds' investible universe with powerful screening solutions
- Track and analyse fund exposures
- Construct, optimise and manage portfolios
- Perform due diligence on hedge funds
- Reporting on funds with powerBI or Excel API
- 500'000 mutual funds, 30'000 hedge funds, 5'000 raising private equity funds and determine which ones are the best
With a total combined AuM over $1.5tn worldwide, some of the world’s largest pension funds, fund of funds, family offices, private banks, endowments, foundations, wealth managers and advisers trust AlternativeSoft to identify and analyse multi-asset class portfolios of hedge funds, mutual funds and private equity funds.
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Integrations
Company Details
Company:
OneMarketData
Year Founded:
2005
Headquarters:
United States
Website:
www.onetick.com/time-series-database
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Customer Support
Business Hours
Online Support
OneTick Features and Options
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