Business Intelligence, Big Data Management, Business Strategy

Stifel Turns to KX to Strengthen Market Intelligence and Trade Execution Impact

Stifel Turns to KX to Strengthen Market Intelligence
KX maker of kdb+, the world's fastest time series database and real-time analytics engine -- announced today that Stifel Financial Corp., the full service brokerage and investment banking firm, has chosen KX to enhance market data analytics and drive real-time decision making. With over 8 billion shares traded annually in the U.S., Stifel will leverage the unmatched speed and scalability of kdb+ for data ingestion and processing to improve its trade execution analytics and operations in order to increase value for its clients.  

"Providing greater access to market-critical data helps empower our clients to make better, more informed decisions that help drive positive outcomes. KX is unique in its ability to marry disparate processes and metrics quickly, reliably and with flexibility. We are excited about this partnership and believe it further enhances our position as a best-in-class institutional global trading platform."

John Spensieri, Managing Director, Head of U.S. Equity Trading, Stifel

The world's largest investment banks, regulators and exchanges across the Financial Services industry lean on KX's kdb+ timeseries database, independently benchmarked by STAC Research as the world's fastest, for their mission-critical data processing and trade analytics needs.

Kdb+ is ideally suited for the demands of extreme data volume and velocity use cases, such as global trading, because it uniquely combines real-time, in-memory computing, a timeseries columnar database and an integrated, high-performance, vector-oriented programming language, q. With KX's technology, firms are able to capture, manage and process massive amounts of data in fractions of a second to power complex financial modelling and analytics. In addition, it runs on all leading hyperscale clouds, enabling clients to take advantage of the agility of the cloud for their data-intensive analytics workloads while gaining the performance efficiency kdb+ is known for. Out-of-the-box support for SQL and Python enables developers and data scientists to use their favorite programming languages and tools to derive faster insights.

Conor Twomey, Head of Customer Success, KX, added: "Stifel is one of the largest full-service investment banks in the U.S., and we're thrilled to be working together toward its continued success. In choosing KX, Stifel can now offer world-leading trading analytics and insights, ultimately equipping them with the technology and tools needed to trade with better risk controls and better price protection."

About KX
KX is the creator of kdb+, independently benchmarked as the world's fastest time series database and real-time analytics engine. Built for the most demanding data environments, KX technology is trusted by the world's leading companies for their mission-critical data applications. Our industry-leading software processes and analyzes time series and relational data at unmatched speed and scale, enabling richer actionable insights to drive decisions. We empower developers and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge. Part of FD Technologies plc, KX operates from more than 15 offices across Europe, North America, and Asia Pacific.

About Stifel
Stifel Financial Corp. is a financial services holding company headquartered in St. Louis, Missouri, that conducts its banking, securities, and financial services business through several wholly owned subsidiaries. Stifel's broker-dealer clients are served in the United States through Stifel, Nicolaus & Company, Incorporated, including its Eaton Partners business division; Keefe, Bruyette & Woods, Inc.; Miller Buckfire & Co., LLC and Stifel Independent Advisors, LLC. The Company's broker-dealer affiliates provide securities brokerage, investment banking, trading, investment advisory, and related financial services to individual investors, professional money managers, businesses, and municipalities. Stifel Bank and Stifel Bank & Trust offer a full range of consumer and commercial lending solutions. Stifel Trust Company, N.A. and Stifel Trust Company Delaware, N.A. offer trust and related services.

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Data Architecture

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore | January 25, 2024

SingleStore, the database that allows you to transact, analyze and contextualize data, today announced powerful new capabilities — making it the industry’s only real-time data platform. With its latest release, dubbed SingleStore Pro Max, the company announced ground-breaking features like indexed vector search, an on-demand compute service for GPUs/ CPUs and a new free shared tier, among several other innovative new products. Together, these capabilities shrink development cycles while providing the performance and scale that customers need for building applications. In an explosive generative AI landscape, companies are looking for a modern data platform that’s ready for enterprise AI use cases — one with best-available tooling to accelerate development, simultaneously allowing them to marry structured or semi-structured data residing in enterprise systems with unstructured data lying in data lakes. “We believe that a data platform should both create new revenue streams while also decreasing technological costs and complexity for customers. And this can only happen with simplicity at the core,” said Raj Verma, CEO, SingleStore. “This isn’t just a product update, it’s a quantum leap… SingleStore is offering truly transformative capabilities in a single platform for customers to build all kinds of real-time applications, AI or otherwise.” “At Adobe, we aim to change the world through digital experiences,” said Matt Newman, Principal Data Architect, Adobe. “SingleStore’s latest release is exciting as it pushes what is possible when it comes to database technology, real-time analytics and building modern applications that support AI workloads. We’re looking forward to these new features as more and more of our customers are seeking ways to take full advantage of generative Al capabilities.” Key new features launched include: Indexed vector search. SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. We make data integration with third-party databases easy with both CDC in and CDC out support.” "Although generative AI, LLM, and vector search capabilities are early stage, they promise to deliver a richer data experience with translytical architecture," states the 2023 report, “Translytical Architecture 2.0 Evolves To Support Distributed, Multimodel, And AI Capabilities,” authored by Noel Yuhanna, Vice President and Principal Analyst at Forrester Research. "Generative AI and LLM can help democratize data through natural language query (NLQ), offering a ChatGPT-like interface. Also, vector storage and index can be leveraged to perform similarity searches to support data intelligence." SingleStore has been on a fast track leading innovation around generative AI. The company’s product evolution has been accompanied by high-momentum growth in customers and surpassing $100M in ARR late last year. SingleStore also recently ranked #2 in the emerging category of vector databases, and was recognized by TrustRadius as a top vector database in 2023. Finally, SingleStore was a winner of InfoWorld’s Technology of the year in the database category. To learn more about SingleStore visit here. About SingleStore SingleStore empowers the world’s leading organizations to build and scale modern applications using the only database that allows you to transact, analyze and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability and hybrid vector search capabilities, SingleStore helps deliver 10-100x better performance at 1/3 the costs compared to legacy architectures. Hundreds of customers worldwide — including Fortune 500 companies and global data leaders — use SingleStore to power real-time applications and analytics. Learn more at singlestore.com. Follow us @SingleStoreDB on Twitter or visit www.singlestore.com.

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Big Data Management

data.world Integrates with Snowflake Data Quality Metrics to Bolster Data Trust

data.world | January 24, 2024

data.world, the data catalog platform company, today announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement capabilities to enterprises. The data.world Snowflake Collector now empowers enterprise data teams to measure data quality across their organization on-demand, unifying data quality and analytics. Customers can now achieve greater trust in their data quality and downstream analytics to support mission-critical applications, confident data-driven decision-making, and AI initiatives. Data quality remains one of the top concerns for chief data officers and a critical barrier to creating a data-driven culture. Traditionally, data quality assurance has relied on manual oversight – a process that’s tedious and fraught with inefficacy. The data.world Data Catalog Platform now delivers Snowflake data quality metrics directly to customers, streamlining quality assurance timelines and accelerating data-first initiatives. Data consumers can access contextual information in the catalog or directly within tools such as Tableau and PowerBI via Hoots – data.world’s embedded trust badges – that broadcast data health status and catalog context, bolstering transparency and trust. Additionally, teams can link certification and DataOps workflows to Snowflake's data quality metrics to automate manual workflows and quality alerts. Backed by a knowledge graph architecture, data.world provides greater insight into data quality scores via intelligence on data provenance, usage, and context – all of which support DataOps and governance workflows. “Data trust is increasingly crucial to every facet of business and data teams are struggling to verify the quality of their data, facing increased scrutiny from developers and decision-makers alike on the downstream impacts of their work, including analytics – and soon enough, AI applications,” said Jeff Hollan, Director, Product Management at Snowflake. “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.” “High-quality data has always been a priority among enterprise data teams and decision-makers. As enterprise AI ambitions grow, the number one priority is ensuring the data powering generative AI is clean, consistent, and contextual,” said Bryon Jacob, CTO at data.world. “Alongside Snowflake, we’re taking steps to ensure data scientists, analysts, and leaders can confidently feed AI and analytics applications data that delivers high-quality insights, and supports the type of decision-making that drives their business forward.” The integration builds on the robust collaboration between data.world and Snowflake. Most recently, the companies announced an exclusive offering for joint customers, streamlining adoption timelines and offering a new attractive price point. The data.world's knowledge graph-powered data catalog already offers unique benefits for Snowflake customers, including support for Snowpark. This offering is now available to all data.world enterprise customers using the Snowflake Collector, as well as customers taking advantage of the Snowflake-only offering. To learn more about the data quality integration or the data.world data catalog platform, visit data.world. About data.world data.world is the data catalog platform built for your AI future. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful Knowledge Graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work seven years in a row.

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Business Intelligence

EAGLYS, Mitsui and Quantinuum Collaborate to Build a Quantum-Resistant Data Analytics (AI) Platform Using Quantum Computing Hardened Encryption Keys

Mitsui & Co., Ltd | December 13, 2023

In partnership, EAGLYS, Inc., Mitsui & Co., Ltd., and Quantinuum have integrated Quantum Origin into EAGLYS' secure computation product DataArmor, strengthening the platform against the quantum threat to encrypted data. Mitsui and EAGLYS have used secure computation technology to build a platform that allows research institutes and businesses to securely collaborate using each other's data and AI models. DataArmor uniquely maintains the confidentiality and security of sensitive data and AI models using homomorphic encryption, a technology that allows analysis to be performed on data while still encrypted. This protects encrypted data from being revealed when shared, safeguarding organizations and their Intellectual Property against advanced cyber threats. EAGLYS has now integrated Quantum Origin, the world's only solution that uses the power of quantum computing processes to provably strengthen encryption keys, as part of their Quantum-Resistant Data Analytics (AI) Platform. This integration strengthens the resilience of DataArmor against the threat of a quantum-computing-based attack. Quantum computers are expected to empower significant innovation in the future and create approximately 100 trillion yen in value by 20351. At the same time, the development of quantum computing technology presents a new threat to the cryptographic security measures that protect the confidentiality of encrypted data and communications. RSA, one of the most widely used cryptographic algorithms, may soon be deciphered by cybercriminals to expose confidential data. It is unclear when a quantum computer will be capable of cracking existing encryption, but organizations are increasingly concerned about cyber security attacks called 'Hack now, Decrypt later.' A recent Deloitte survey revealed that over 50%2 of cyber professionals believe their organization is at risk from this attack, where malicious third parties steal and store encrypted data to decrypt it when the quantum computing technology is available. As a countermeasure against such potential threats, organizations must strengthen encryption protection for data and AI models by using post-quantum cryptographic algorithms and hardening cryptographic keys. Research institutes and businesses increasingly need to collaborate using each other's data and AI models to accelerate innovation in chemical materials development, drug discovery, financial analysis, and retail trends. To maintain the confidentiality and security of the data and AI models used in these collaborations, EAGLYS' DataArmor platform combines fully homomorphic encryption based on lattice cryptography and Quantum Origin's quantum-derived entropy for key generation to strengthen protection against a quantum computing based attack. Going forward, the three companies will continue to develop new use cases utilizing this platform. "We are pleased to collaborate on this advanced project with Quantinuum, a world-class quantum computing company, and our valued partner Mitsui & Co. This collaboration is an important initiative for our business and will enhance our Homomorphic Encryption platform, enabling us to create new value for our customers through AI and data in a highly secure environment. By deploying the Quantum-Resilient AI Platform together with the three companies, we hope to further increase customer value through secure data sharing and AI in the chemical, medical, financial, and retail industries.", said Hiroki Imabayashi, Founder and CEO, EAGLYS Inc. "Through this collaboration, we are able to present a quantum-resistant data analytics (AI) platform capable of creating new value using EAGLYS' secure computation technology. We are convinced that by combining EAGLYS' secure computation technology with Quantum Origin, DataArmor will become an increasingly important solution to prepare for potential threats that may accompany the commercialization of quantum computers. We will continue collaborating with both companies and focus on realizing new customer value by combining Secure Computation and Quantum Technology." said Koji Naniwada, Deputy General Manager & Senior Tech Lead, Quantum Innovation Dept., Corporate Development Div., Mitsui & Co., Ltd. Duncan Jones, Head of Cybersecurity, Quantinuum, added, "Hardening encryption keys is critical to protecting sensitive data in the post-quantum era, and Quantum Origin is the world's only technology that provably strengthens key generation. By integrating Quantum Origin, EAGLYS is future-proofing the security and integrity of its customer's data." About Quantinuum Quantinuum is one of the world's largest integrated quantum computing companies, formed by the combination of Honeywell Quantum Solutions' world-leading hardware and Cambridge Quantum's class-leading middleware and applications. Quantinuum accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance, and optimization. The company employs over 480 individuals, including 350 scientists, at nine sites across the United States, Europe, and Japan. About Mitsui & Co., Ltd. Mitsui & Co. is a global trading and investment company with a presence in more than 60 countries and a diverse business portfolio covering a wide range of industries. The company identifies, develops, and grows its businesses in partnership with a global network of trusted partners including world leading companies, combining its geographic and cross-industry strengths to create long-term sustainable value for its stakeholders. Mitsui has set three key strategic initiatives for its current Medium-term Management Plan: supporting industries to grow and evolve with stable supplies of resources and materials, and providing infrastructure; promoting a global transition to low-carbon and renewable energy; and empowering people to lead healthy lives through the delivery of quality healthcare and access to good nutrition. About EAGLYS Inc EAGLYS is a company that provides an AI platform that uses AI and Homomorphic Encryption. The company creates new value by collaborating data from various industries such as chemical, manufacturing, medical, and retail. Particularly in the field of chemistry, EAGLYS provides solutions that significantly change industry practices.

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Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

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