Business Software for 3forge

Apache ActiveMQ® stands out as the leading open-source, multi-protocol message broker built on Java. It accommodates widely accepted protocols, allowing users to take advantage of diverse client options across various programming languages and platforms. Clients can connect using languages such as JavaScript, C, C++, Python, .Net, and more. The integration of multi-platform applications is made seamless with the widely-used AMQP protocol. Furthermore, web applications can communicate effectively through the STOMP protocol over websockets. ActiveMQ also facilitates the management of IoT devices by leveraging MQTT. It not only supports existing JMS infrastructures but also extends beyond them, providing the robustness and adaptability necessary for any messaging scenario. Presently, there are two distinct versions of ActiveMQ: the traditional "classic" broker and the innovative "next generation" broker known as Artemis. As Artemis develops to match the feature set of the Classic code-base, it is set to evolve into the next major release of ActiveMQ. Initial documentation for migration is accessible, along with a development roadmap outlining the future of Artemis, ensuring users have the guidance they need for a smooth transition. This evolution signifies a commitment to continual improvement and adaptation in a rapidly changing technological landscape.

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.

KDB.AI serves as a robust knowledge-centric vector database and search engine, enabling developers to create applications that are scalable, dependable, and operate in real-time by offering sophisticated search, recommendation, and personalization features tailored for AI needs. Vector databases represent an innovative approach to data management, particularly suited for generative AI, IoT, and time-series applications, highlighting their significance, distinctive characteristics, operational mechanisms, emerging use cases, and guidance on how to begin utilizing them effectively. Additionally, understanding these elements can help organizations harness the full potential of modern data solutions.

TIBCO Streaming is an advanced analytics platform focused on real-time processing and analysis of fast-moving data streams, which empowers organizations to make swift, data-informed choices. With its low-code development environment found in StreamBase Studio, users can create intricate event processing applications with ease and minimal coding requirements. The platform boasts compatibility with over 150 connectors, such as APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, ensuring smooth integration with diverse data sources. Incorporating dynamic learning operators, TIBCO Streaming allows for the use of adaptive machine learning models that deliver contextual insights and enhance automation in decision-making. Additionally, it provides robust real-time business intelligence features that enable users to visualize current data alongside historical datasets for a thorough analysis. The platform is also designed for cloud readiness, offering deployment options across AWS, Azure, GCP, and on-premises setups, thereby ensuring flexibility for various organizational needs. Overall, TIBCO Streaming stands out as a powerful solution for businesses aiming to harness real-time data for strategic advantages.

The Oracle AI Data Platform integrates the entire data-to-insight workflow, incorporating artificial intelligence, machine learning, and generative features within its various data stores, analytics, applications, and infrastructure. It encompasses the full spectrum, from data collection and governance to feature engineering, model development, and deployment, allowing organizations to create reliable AI-driven solutions on a large scale. With its cohesive architecture, this platform provides intrinsic support for vector search, retrieval-augmented generation, and large language models, while facilitating secure and traceable access to business data and analytics for all enterprise roles. Users can delve into, visualize, and make sense of data using AI-enhanced tools in the analytics layer, where self-service dashboards, natural-language inquiries, and generative summaries significantly expedite the decision-making process. Additionally, the platform's capabilities empower teams to derive actionable insights swiftly and efficiently, fostering a data-driven culture within organizations.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your projects.

QuantHouse offers high-performance API-based end to end systematic trading solutions that allow clients to maximize their trading results.QuantFEED: A set of API-based market information solutions that covers a wide range of asset classes, including Equities, Fixed Income and Options, Futures, Futures, Derivatives and FX, Commodities as well as Real Estate, Crypto Currencies, and Real Estate. QuantFEED includes ultra-low latency market data technologies, conflated data feeds, order book consolidation, historical data, analytics, publication tools and end of day data services.QuantFACTORY : is a multi asset class algo-trading development framework offering financial institutions a complete set of tools for quantitative trading strategies development, optimization, backtesting, paper trading and real-time trading. QuantFACTORY can be used by our clients to manage their automated portfolios and for signaling and automating order execution.