Alternatives to Polygon.io

It's no secret that the finance industry has been slower than most to innovate and break free of the traditional, restrictive ways of doing business. We want to speed that up. Our mission is to power the innovators defining the future of finance through modern data technologies. That means automating the data supply chain with advanced infrastructure and machine learning, delivering high-quality data through cutting-edge tools designed for developers and engineers, and getting it all in the hands of people who are challenging the system. If you're creating the next big thing, we're here to help- see what it means to be #PoweredbyIntrinio Our Equity Data packages includes an extensive network of US company fundamentals and stock market data suitable for all types of business needs and budgets. Our Options fast, simple, real-time stock option pricing data allows users to leverage Intrinio's powerful infrastructure to pull clean options data without the time and cost of connecting to OPRA directly. Intrinio provides a comprehensive global set of consensus ESG ratings constructed by CSRHub. Enhance your ESG expertise, benchmark your firm's ESG ratings against your peers, and provide your clients with the ESG data they need.

Download historical and current market data for stocks and options, futures and forex, indices and more. Access data programmatically with the Market Data REST API, or use the Google Sheets and Microsoft Excel Add-ons for data downloads into your spreadsheets. Market Data was built for active traders and is the only API/data platform that provides everything you need: financial data, backtesting, technical and fundamental analysis, and much more. Get started for free. No credit card is required. Google Sheets Add-On allows you to add data queries directly into your formulas for real-time updates as the market changes. You can access the data you need on any spreadsheet platform. Market Data offers CSV data downloads that are compatible with Excel, Numbers and Open Office. A simple formula allows you to import prices from 15+ years into your spreadsheets.

Twelve Data is a dynamic financial data platform catering to developers, analysts, and businesses looking for real-time financial data. Offering a wide array of information across stocks, commodities, forex, and cryptocurrencies, Twelve Data makes it easy to integrate market insights into various applications with its robust API. Users can access a rich set of features, including real-time price data, historical data, financial news, and advanced stock screening tools. With Twelve Data, businesses can leverage accurate and up-to-date information to make informed decisions, streamline trading strategies, and stay ahead of market trends. Its simple and accessible interface ensures that users can easily navigate the platform while powerful tools enhance their ability to analyze data effectively.

Legacy market data infrastructure's rigidity and high cost are unsustainable. On-premise technology, vendor concentration risk, and point-to-point data flow are not options. Xignite's Market Data Management Solution allows you to separate your internal systems and data sources, and removes you from costly legacy and costly infrastructure. The Xignite Market Data Cloud is the first natively-built market data platform that runs in AWS. Today, we are an AWS Advanced Technology Partner with a Financial Services Competency. Xignite has more than a decade's experience in cloud-based market data technology. This is why leading capital markets and financial services firms rely on it to help them get to the cloud. The Xignite Market Data Cloud, a single platform that unifies market data management and financial data consumption -- all delivered in the cloud.

A parallel query engine designed for efficient access to time- and symbol-indexed data. It incorporates an extended SQL syntax that allows for sophisticated filtering and aggregation capabilities. Users can unify quotes, trades, snapshots, and reference data within a single environment. The platform supports strategy backtesting using high-frequency data for enhanced analysis. It facilitates quantitative research and insights into market microstructure. Additionally, it offers detailed transaction cost analysis and comprehensive rollup reporting features. Market surveillance mechanisms and anomaly detection capabilities are also integrated into the system. The decomposition of non-transparent ETF/ETN instruments is supported, along with the utilization of FAST, SBE, and proprietary communication protocols. A plain text protocol is available alongside consolidated and direct data feeds. The system includes built-in tools for monitoring latency and provides end-of-day archival options. It can perform ETL processes from both institutional and retail financial data sources. Designed with a parallel SQL engine that features syntax extensions, it allows advanced filtering by trading session, auction stage, and index composition for precise analysis. Optimizations for aggregates related to OHLCV and VWAP calculations enhance performance. An interactive SQL console with auto-completion improves user experience, while an API endpoint facilitates seamless programmatic integration. Scheduled SQL reporting options are available, allowing delivery via email, file, or web. JDBC and ODBC drivers ensure compatibility with various applications, making this system a versatile tool for financial data handling.

The most powerful stock API on market democratizes financial data. Real-Time RESTful APIs & Websockets for Stocks, Currencies, & Crypto. Free access to real-time stock APIs, institutional-grade fundamental data, and other data to boost your investment. We provide detailed financial statements that go back over 30+ years for global companies. Comprehensive dividends data for 30 years is also available. Comprehensive list of shareholders, both individual and institutional. Real-time earnings notifications, historical surprises, analyst price target, upgrade/downgrades and real-time earnings notification. Comprehensive ETFs & Indices data including profile, holdings, industry exposure, and historical constituents. 25 years of historical data on the US market, updated in real time. Direct connection to over 10 forex brokers. With a single API, you can connect to 15+ cryptocurrency brokers. Our API supports precomputed technical indicators and support/resistance level levels, pattern recognition, aggregate indicators' signal, as well as precomputed technical indicators.

Coin Metrics enhances the accessibility and transparency of global cryptocurrency data. Their CM Network Data Pro service offers a comprehensive feed of valuable aggregate metrics related to the networks of leading cryptoassets. ATLAS™ Search stands out as a highly efficient and dependable blockchain explorer on the market. Additionally, the CM Market Data Feed delivers both historical and real-time insights from over 30 prominent spot and derivatives crypto exchanges, encompassing all essential market data types like tick-by-tick trades, quotes, order book snapshots, and candlestick data. The Coin Metrics Bletchley Indexes (CMBI) provide a wide-ranging collection of benchmarks for individual assets, multiple assets, and distinctive cryptoasset categories. Furthermore, CM Reference Rates deliver strong, manipulation-resistant pricing for a multitude of assets. Institutions seeking to create customized methodologies or manage their own indexes can also access calculation agent services. This extensive array of offerings solidifies Coin Metrics' position as a leader in the cryptocurrency data industry.

Pinot is built to efficiently handle OLAP queries on static data with minimal latency. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently lacks support for joins, this limitation can be mitigated by utilizing Trino or PrestoDB for querying purposes. The system offers an SQL-like language that enables selection, aggregation, filtering, grouping, ordering, and distinct queries on datasets. It comprises both offline and real-time tables, with real-time tables being utilized to address segments lacking offline data. Additionally, users can tailor the anomaly detection process and notification mechanisms to accurately identify anomalies. This flexibility ensures that users can maintain data integrity and respond proactively to potential issues.

To address the challenges posed by sparse data, the Raijin Database adopts a flat JSON format for its data records. This database primarily utilizes SQL for querying while overcoming some of SQL's inherent restrictions. By employing data compression techniques, it not only conserves disk space but also enhances performance, particularly with contemporary CPU architectures. Many NoSQL options fall short in efficiently handling analytical queries or completely lack this functionality. However, Raijin DB facilitates group by operations and aggregations through standard SQL syntax. Its vectorized execution combined with cache-optimized algorithms enables the processing of substantial datasets effectively. Additionally, with the support of advanced SIMD instructions (SSE2/AVX2) and a modern hybrid columnar storage mechanism, it prevents CPU cycles from being wasted. Consequently, this results in exceptional data processing capabilities that outperform many alternatives, particularly those developed in higher-level or interpreted programming languages that struggle with large data volumes. This efficiency positions Raijin DB as a powerful solution for users needing to analyze and manipulate extensive datasets rapidly and effectively.

Utilizing financial data has never been simpler. Accelerate the development and expansion of your financial applications with IEX Cloud. It's the most straightforward method to create financial solutions. Gain access to institutional-quality data, featuring real-time and historical stock prices, fundamental information, forex, cryptocurrencies, and much more – all available through a single API. Enjoy comprehensive coverage of the U.S. market with over 95,000 securities at your fingertips. With just one subscription, you can unlock a variety of datasets without being tied to lengthy contracts or hefty upfront fees. Access the information you require within minutes using a user-friendly API, allowing you to concentrate on your development efforts. All the crucial financial data you need is conveniently located in one place, accessible whenever and wherever you require it. No programming skills are needed, and you can also tap into Premium Datasets provided by a growing network of curated partners. Choose your preferred method of integration to ensure seamless compatibility with the other tools in your workflow. Our high-performance architecture is designed to support rapid growth and scalability for enterprises. With a naturally reliable platform, you can focus on building your projects while minimizing concerns about data integrity and performance. This allows you to innovate freely and efficiently in the fast-paced world of finance.

Massive serves as a comprehensive market-data infrastructure platform designed to furnish developers, startups, and trading firms with both real-time and historical financial information. The service provides institutional-quality market data across a variety of asset classes, including stocks, options, indices, currencies, and futures, accessible through a user-friendly API, WebSocket, flat-file S3 access, or SQL query interface. Prioritizing low latency, Massive offers direct connections to leading exchanges such as NYSE, NASDAQ, CBOE, and OTC, while ensuring data normalization to prevent survivorship bias and outdated information pipelines. By positioning itself as a force for “modernizing Wall Street,” Massive seeks to dismantle traditional barriers, making high-quality market data that was once exclusive to large institutions readily available to any application developer. In addition to its robust data offerings, the platform features a wealth of documentation, client libraries compatible with languages such as Python, JavaScript, Go, and Java, as well as tutorials and sample projects, all aimed at facilitating seamless integration for users. This commitment to accessibility and ease of use empowers a new generation of fintech innovation, enabling developers to harness sophisticated financial data effortlessly.

Create dynamic reports featuring real-time, interactive data without needing to grasp the complexities of Oracle's row and column structures in FSG. Enhance and streamline your daily reporting tasks by easily accessing your EBS data through Excel. The robust integration utilizes the Oracle data dictionary to handle complex table joins, queries, and calculations, ensuring quick and precise reporting that requires no technical expertise. This seamless approach allows users from all backgrounds to generate insightful reports effortlessly.

FolioSure provides Private Equity (PE) or Venture Capital (VC), firms an advantage in portfolio monitoring, data operations functions, and portfolio monitoring. FolioSure, a cloud-based portfolio-monitoring system that tracks and compares portfolio companies' performance, is an end-to–end cloud-based tool. It can be integrated into your existing tech stack and processes and customized according to your requirements.

UST IQ for AMI Analytics streamlines the entire data engineering process, managing everything from the ingestion of large-scale, high-frequency metering data to delivering comprehensive insights, allowing AMI business operations to prioritize essential decision-making over IT infrastructure concerns. It efficiently collects both real-time and historical data, including meter readings, events, alarms, GIS information, and external data sources, and transforms this information into query-ready formats using a cloud-native, microservices architecture. This setup supports self-service querying, location-aware and role-specific analytics, and proactive exception management, providing operations teams with crucial insights regarding network anomalies, meter performance, outages, and environmental data such as seismic activity or weather patterns. By doing so, it enhances the ability to optimize field crew deployment, avert expensive failures, and improve restoration efforts. The system processes vast quantities of data, handling hundreds of millions of records each day through low-latency micro-batching, typically in 5-minute intervals, while also offering features like 30-day rolling averages and alert-triggered notifications to further support operational efficiency. This comprehensive approach not only accelerates data processing but also ensures that actionable insights are readily available when needed, ultimately leading to improved operational effectiveness.

Experience swift and dependable web3 indexing with our real-time, adaptable blockchain data APIs, featuring no rate limits, minimal latency, and support for multiple chains. Enhance your web3 development journey by gaining effortless access to both on-chain and off-chain data, including cached token media, metadata, and pricing feeds. Investigate complete transaction details, including logs, and query token balances and transactions with ease. Effortlessly search for tokens, collections, and addresses while tailoring data according to your specific indexing patterns. Define contract ABIs and pinpoint events of interest for personalized endpoints, ensuring fast backfill and immediate frontfill capabilities. Our RESTful endpoints are designed to deliver responses in under a second, boasting zero downtime for uninterrupted service. Stay updated by subscribing to on-chain activities you care about and streamline the creation of crypto-enhanced applications in mere seconds with nxyz. Don’t forget to read the documentation and secure your spot on our waitlist to unlock the fastest API available for web3 developers, which is engineered to scale for billions of users while handling millions of queries each second efficiently. This innovative solution could be the key to revolutionizing your interactions with blockchain technology.

ByAllAccounts converts financial information into actionable insights by aggregating accounts from a multitude of sources. Our platform consolidates raw data from more than 15,000 different origins. As we remain independent of specific formats, we select the highest quality and most comprehensive data available, enabling a clear view of clients’ assets, expenditure patterns, and cash flow dynamics. We then normalize the collected data into a unified, consistent framework adhering to industry benchmarks and utilizing Morningstar’s exclusive identifiers, effectively turning varied data into its most practical form. Additionally, ByAllAccounts employs an AI-driven solution to swiftly provide client account information to various systems such as portfolio management, reconciliation, compliance, trust accounting, and performance tracking, thereby reducing both time investment and operational expenses. Our innovative patented methods allow us to interpret inadequate data sources effectively and fill gaps using Morningstar data, thereby supplying enriched feeds at the firm level to a vast network of over 1,400 advisory firms, 50 redistribution partners, and 40 platform integrators. Ultimately, this positions us as a key player in the financial data aggregation landscape, enhancing our clients' operational efficiency and decision-making capabilities.

DataLux is an innovative platform designed for effective data management and analytics, specifically created to tackle various data-related issues while facilitating real-time decision-making. Equipped with user-friendly plug-and-play adaptors, it enables the aggregation of extensive data collections and offers the capability to collect and visualize insights instantaneously. Utilize the data lake to anticipate and drive new innovations, while ensuring that data is stored in a manner conducive to modeling. The platform allows for the development of portable applications by leveraging containerization, whether in a public cloud, private cloud, or on-premise environment. It seamlessly integrates diverse time-series market data and inferred information, including stock exchange tick data, market policy actions, relevant cross-industry news, and alternative datasets, to derive causal insights regarding stock markets and macroeconomic factors. By providing valuable insights, DataLux empowers businesses to shape their decisions and foster product innovations effectively. Additionally, it supports interdisciplinary A/B testing throughout the product development lifecycle, from initial ideation to final decision-making, ensuring a comprehensive approach to enhancing design and engineering processes.

FinanceIQ is a financial reporting and analytics platform built specifically for companies using Oracle NetSuite. It transforms raw ERP data into clear dashboards, automated management reports, and strategic insights. The platform integrates directly with NetSuite’s API, enabling real-time synchronization of financial data across subsidiaries, currencies, and departments. Finance teams can track metrics such as revenue performance, profit margins, and operational expenses through interactive dashboards. FinanceIQ also simplifies board reporting by automatically generating professional reports with visualizations and narrative explanations. The system supports rolling forecasts, budget modeling, and scenario planning to help leaders evaluate future financial outcomes. Its AI-powered assistant, Finley, provides instant analysis and answers financial questions based on live ERP data. Users can ask questions in plain English and receive detailed breakdowns of financial trends or anomalies. This eliminates the need for manual spreadsheet analysis and reduces reporting time significantly. Overall, FinanceIQ enables finance teams to gain deeper insights and manage business performance more efficiently.

It aids in collecting timing information essential for diagnosing latency issues within service architectures. Its functionalities encompass both the gathering and retrieval of this data. When you have a trace ID from a log, you can easily navigate directly to it. If you don't have a trace ID, queries can be made using various parameters such as service names, operation titles, tags, and duration. Additionally, notable data is summarized, including the proportion of time spent on each service and the success or failure of operations. The Zipkin user interface also features a dependency diagram that illustrates the volume of traced requests processed by each application. This visualization can be instrumental in recognizing overall patterns, including error trajectories and interactions with outdated services. Overall, this tool not only simplifies the troubleshooting process but also enhances the understanding of service interactions within complex architectures.

The GNews API serves as a robust RESTful news service that empowers developers to effortlessly search and access both current and historical articles from around the globe in real-time through straightforward HTTP GET requests that yield JSON responses. It compiles an extensive collection of tens of millions of articles sourced from more than 60,000 outlets across 30 countries and 22 languages, consistently refreshing live feeds while maintaining up to three years of archival information. An advanced in-house deep-learning extractor guarantees high-quality retrieval of full-text articles, complemented by a low-latency design that achieves response times averaging between 100 to 200 milliseconds. Users can execute sophisticated queries utilizing logical operators alongside ten optional parameters to refine results by keyword, language, country, or date range, and the endpoints provide support for paging and content expansion. Designed to be CORS-enabled, it integrates smoothly within any programming environment, eliminating the need for crawler maintenance and ensuring a remarkable uptime of 99.9%. Additionally, this API allows developers to tap into a wealth of information swiftly, enhancing the user experience with its speed and reliability.

Designed specifically for handling super large-scale graphs with latency measured in milliseconds, this graph database continues to engage with the community for its preparation, promotion, and popularization. Nebula Graph ensures that access is secured through role-based access control, allowing only authenticated users. The database supports various types of storage engines and its query language is adaptable, enabling the integration of new algorithms. By providing low latency for both read and write operations, Nebula Graph maintains high throughput, effectively simplifying even the most intricate data sets. Its shared-nothing distributed architecture allows for linear scalability, making it an efficient choice for expanding businesses. The SQL-like query language is not only user-friendly but also sufficiently robust to address complex business requirements. With features like horizontal scalability and a snapshot capability, Nebula Graph assures high availability, even during failures. Notably, major internet companies such as JD, Meituan, and Xiaohongshu have successfully implemented Nebula Graph in their production environments, showcasing its reliability and performance in real-world applications. This widespread adoption highlights the database's effectiveness in meeting the demands of large-scale data management.

Quality Score is summed up at the account level, providing a quick overview of your performance. By examining the elements that affect Quality Score, you can identify opportunities for optimization. You can also visualize how your keywords and metrics are positioned across the Quality Score spectrum. Campaigns, ad groups, and keywords are categorized into high performers and low performers, giving you a clear starting point for improvement. After conducting keyword research, organizing your keywords into relevant groups is crucial. This strategic grouping ensures that the intent behind a search aligns with the advertisements displayed and the landing pages users visit. Maintaining relevance is essential for the success of your Google Ads campaigns. By effectively categorizing keywords, you guarantee that search queries consistently connect with appropriate ads and corresponding landing pages, ultimately enhancing user experience and engagement. This methodical approach not only increases the efficacy of your ads but also drives more qualified traffic to your site.

Amazon Timestream is an efficient, scalable, and serverless time series database designed for IoT and operational applications, capable of storing and analyzing trillions of events daily with speeds up to 1,000 times faster and costs as low as 1/10th that of traditional relational databases. By efficiently managing the lifecycle of time series data, Amazon Timestream reduces both time and expenses by keeping current data in memory while systematically transferring historical data to a more cost-effective storage tier based on user-defined policies. Its specialized query engine allows users to seamlessly access and analyze both recent and historical data without the need to specify whether the data is in memory or in the cost-optimized tier. Additionally, Amazon Timestream features integrated time series analytics functions, enabling users to detect trends and patterns in their data almost in real-time, making it an invaluable tool for data-driven decision-making. Furthermore, this service is designed to scale effortlessly with your data needs while ensuring optimal performance and cost efficiency.

KX Streaming Analytics offers a comprehensive solution for ingesting, storing, processing, and analyzing both historical and time series data, ensuring that analytics, insights, and visualizations are readily accessible. To facilitate rapid productivity for your applications and users, the platform encompasses the complete range of data services, which includes query processing, tiering, migration, archiving, data protection, and scalability. Our sophisticated analytics and visualization tools, which are extensively utilized in sectors such as finance and industry, empower you to define and execute queries, calculations, aggregations, as well as machine learning and artificial intelligence on any type of streaming and historical data. This platform can be deployed across various hardware environments, with the capability to source data from real-time business events and high-volume inputs such as sensors, clickstreams, radio-frequency identification, GPS systems, social media platforms, and mobile devices. Moreover, the versatility of KX Streaming Analytics ensures that organizations can adapt to evolving data needs and leverage real-time insights for informed decision-making.

StockQuery is a cloud-based inventory management system designed to efficiently track product levels and identify items that require restocking. It offers customizable reports on inventory and transactions, facilitating the comparison of physical stock against digital records. Your inventory information is securely stored in the cloud, allowing easy access through any web browser. To ensure secure communication, StockQuery employs industry-standard SSL encryption, a technology trusted by financial institutions. In addition to strong password protocols, we implement other tailored security measures to protect your data. Our service is hosted on the Microsoft Azure Platform, which boasts a remarkable uptime guarantee of 99.95%. Furthermore, all your data is routinely backed up to prevent loss. As part of our introductory offer, we provide a promotional rate of $5 for the first month (non-refundable), allowing you to thoroughly assess the features and benefits of StockQuery. This commitment to security and reliability makes StockQuery an ideal choice for managing your inventory effectively.

TMX Datalinx functions as the information services arm of TMX Group Limited, offering an extensive range of real-time, historical, and index data solutions to clients throughout North America and around the world. Our portfolio includes data sourced from Canada's premier public equity markets, such as the Toronto Stock Exchange (TSX), TSX Venture Exchange (TSXV), TSX Alpha Exchange, and the Montréal Exchange (MX). The TMX Information Processor (TMX IP) acts as a primary aggregator of consolidated Canadian equity market data, complying with standards set by regulatory authorities. Furthermore, TMX Datalinx also offers co-location services that provide rapid access to TMX's trading platforms, along with the TMX Analytics Product Suite, which supplies accurate data and analytical tools across various asset classes and foreign currencies to aid in investment and trading strategies. In today's fast-paced financial environment, our commitment to delivering reliable and timely information is crucial for our clients' success.

Establish direct connections with your custodian banks, asset managers, private equity firms, benchmarks, ESG resources, or credit rating agencies. Obtain detailed security reports, enhance your issuer data, and manage both liquid and illiquid assets in a single platform. Every data source is considered, allowing you to seamlessly integrate the information from all your partners, regardless of their format or technological capabilities. Enrich your portfolio with data from a vast array of funds, ETFs, indices, securities, derivatives, and market indicators. Connect your account with your internal or external research collaborators to make well-informed, evidence-based investment choices. Enjoy a completely customized service provided by a team of experienced professionals from the finance sector, dedicated to transforming your goals into practical dashboards and solutions. Experience comprehensive asset consolidation and data aggregation, along with efficient data collection, preparation, and integration processes. This ensures that all aspects of your financial assets are effectively managed and easily accessible.

Avanzai accelerates your financial data analysis by allowing you to generate production-ready Python code through natural language commands. This innovative tool streamlines the financial analysis process for novices and seasoned professionals alike, utilizing simple English for interaction. You can effortlessly plot time series data, equity index components, and stock performance metrics with straightforward prompts. Eliminate tedious aspects of financial analysis by using AI to produce code with the necessary Python libraries pre-installed. Once the code is generated, you can modify it as needed, then easily transfer it into your local setup to dive right into your projects. Benefit from popular Python libraries tailored for quantitative analysis, including Pandas and Numpy, all while communicating in plain English. Elevate your financial analysis capabilities by swiftly accessing fundamental data and assessing the performance of nearly every US stock. With Avanzai, you can enhance your investment strategies using precise and timely information, empowering you to write the same Python scripts that quantitative analysts rely on for dissecting intricate financial datasets. This revolutionary approach not only simplifies the coding process but also enriches your understanding of data-driven investment decisions.

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.

Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.

PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.

Hologres is a hybrid serving and analytical processing system designed for the cloud that integrates effortlessly with the big data ecosystem. It enables users to analyze and manage petabyte-scale data with remarkable concurrency and minimal latency. With Hologres, you can leverage your business intelligence tools to conduct multidimensional data analysis and gain insights into your business operations in real-time. This platform addresses common issues faced by traditional real-time data warehousing solutions, such as data silos and redundancy. Hologres effectively fulfills the needs for data migration while facilitating the real-time analysis of extensive data volumes. It delivers responses to queries on petabyte-scale datasets in under a second, empowering users to explore their data dynamically. Additionally, it supports highly concurrent writes and queries, reaching speeds of up to 100 million transactions per second (TPS), ensuring that data is immediately available for querying after it’s written. This immediate access to data enhances the overall efficiency of business analytics.

Experience serverless and interactive data querying with IBM Cloud Object Storage, enabling you to analyze your data directly at its source without the need for ETL processes, databases, or infrastructure management. IBM Cloud SQL Query leverages Apache Spark, a high-performance, open-source data processing engine designed for quick and flexible analysis, allowing SQL queries without requiring ETL or schema definitions. You can easily perform data analysis on your IBM Cloud Object Storage via our intuitive query editor and REST API. With a pay-per-query pricing model, you only incur costs for the data that is scanned, providing a cost-effective solution that allows for unlimited queries. To enhance both savings and performance, consider compressing or partitioning your data. Furthermore, IBM Cloud SQL Query ensures high availability by executing queries across compute resources located in various facilities. Supporting multiple data formats, including CSV, JSON, and Parquet, it also accommodates standard ANSI SQL for your querying needs, making it a versatile tool for data analysis. This capability empowers organizations to make data-driven decisions more efficiently than ever before.

Connect your database to Statsbot, and within minutes, you'll have data relationships generated automatically, along with your initial insights. Capable of handling terabytes of raw data from numerous sources, Statsbot eliminates the need for prior data optimization or transformation. You can easily define your transformations using SQL and Javascript, avoiding the necessity of learning specialized languages or dealing with complicated interfaces. While data storage is affordable, executing queries can be costly; Statsbot addresses this issue by implementing a pre-aggregations layer that enhances query efficiency. Specifically designed to function with raw data in contemporary data warehouses, Statsbot not only performs real-time queries and transformations but also runs background processes to pre-aggregate intensive calculations. This transformation layer ensures that even complex reports are generated at remarkable speeds, making the overall data analysis experience seamless and efficient. Consequently, Statsbot significantly reduces the time and resources needed to derive insights from large datasets.

A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.

Service API requests are handled promptly to ensure minimal delay. During high traffic periods, the service automatically scales to reduce response times effectively. When accessing the API, you have the option to utilize domains from Certificate Manager, which employs a certificate associated with the domain to establish a secure TLS connection. You can easily enhance your specifications with a single click in the management console, facilitating the integration of your applications with Yandex Cloud services. Additionally, the API Gateway's canary releases feature enables you to implement changes to the OpenAPI specifications gradually, allowing for a controlled rollout to a subset of incoming requests. To safeguard against DDoS attacks and manage the use of cloud resources, it is advisable to set limits on the number of requests to the API gateway within a specified time frame. This proactive approach not only maintains stability but also enhances overall security and performance.

Imply is a cutting-edge analytics platform that leverages Apache Druid to manage extensive, high-performance OLAP (Online Analytical Processing) tasks in real-time. It excels at ingesting data instantly, delivering rapid query results, and enabling intricate analytical inquiries across vast datasets while maintaining low latency. This platform is specifically designed for enterprises that require engaging analytics, real-time dashboards, and data-centric decision-making on a large scale. Users benefit from an intuitive interface for exploring data, enhanced by features like multi-tenancy, detailed access controls, and operational insights. Its distributed architecture and ability to scale make Imply particularly advantageous for applications in streaming data analysis, business intelligence, and real-time monitoring across various sectors. Furthermore, its capabilities ensure that organizations can efficiently adapt to increasing data demands and quickly derive actionable insights from their data.

CWAN (Clearwater Analytics) redefines investment management with a next-generation, cloud-native platform that connects the front, middle, and back offices into one unified ecosystem. Its architecture eliminates data silos, enabling real-time insights across portfolios, exposures, and cash positions. The platform supports seamless integration with multiple custodians, pricing sources, and asset managers, ensuring consistent, high-quality data throughout the investment lifecycle. CWAN’s GenAI capabilities empower asset managers and institutional investors to automate complex workflows, enhance compliance oversight, and improve strategic decision-making. From risk modeling to accounting and performance reporting, every component operates on a single, reconciled data foundation. Its flexible, open design adapts to evolving market conditions and regulatory requirements, ensuring scalability and long-term reliability. By combining automation with intelligent analytics, CWAN helps firms reduce operational costs and gain faster, data-backed insights. Backed by global credibility and decades of expertise, CWAN powers some of the world’s largest and most sophisticated investment portfolios with confidence and precision.

The primary obstacle that organizations and public services encounter today is ensuring regulatory compliance, making XBRL essential for financial reporting frameworks such as COREP, FINREP, and Solvency II. As the foremost innovator in regulatory reporting and taxonomy development, CoreFiling serves as a reliable consultant to regulators, governments, financial institutions, and filers around the globe. Meanwhile, True North® offers a financial data aggregation application that stands out as the premier source of public company information, encompassing SEC and Companies House filings. This advanced data platform by True North® enables users to effectively search, visualize, and analyze both individual company financial statements and intricate datasets. By establishing structure and meaning in complex and disconnected data, it is possible to define, normalize, and categorize information right from its source, thus enhancing data usability and insights. The integration of these technologies not only streamlines compliance but also empowers organizations to make informed decisions based on robust financial data.

IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.

IntelliTicks leverages the synergy of artificial intelligence and human insight to foster proactive and tailored conversational interactions that effectively transform website visitors into highly qualified leads. By utilizing proactive triggers that consider the current web page, time, geographical location, traffic source, referral, and device type, IntelliTicks provides engaging and personalized sales pitches to users. This platform incrementally gathers lead information throughout the conversation in a dynamic and engaging manner, ensuring that data collection remains enjoyable rather than tedious. Equipped with sophisticated natural language processing algorithms, it accurately interprets user intent and formulates appropriate responses, thereby streamlining the automation of replies to frequently asked questions from prospects. Furthermore, by analyzing the user journey, IntelliTicks identifies high-potential leads and connects them with your top sales representatives in real-time, ensuring that these valuable opportunities receive prompt attention while they are deliberating on your offerings, ultimately enhancing the chances of conversion. This blend of technology and human touch not only improves engagement but also enhances overall sales efficiency.

Trino is a remarkably fast query engine designed to operate at exceptional speeds. It serves as a high-performance, distributed SQL query engine tailored for big data analytics, enabling users to delve into their vast data environments. Constructed for optimal efficiency, Trino excels in low-latency analytics and is extensively utilized by some of the largest enterprises globally to perform queries on exabyte-scale data lakes and enormous data warehouses. It accommodates a variety of scenarios, including interactive ad-hoc analytics, extensive batch queries spanning several hours, and high-throughput applications that require rapid sub-second query responses. Trino adheres to ANSI SQL standards, making it compatible with popular business intelligence tools like R, Tableau, Power BI, and Superset. Moreover, it allows direct querying of data from various sources such as Hadoop, S3, Cassandra, and MySQL, eliminating the need for cumbersome, time-consuming, and error-prone data copying processes. This capability empowers users to access and analyze data from multiple systems seamlessly within a single query. Such versatility makes Trino a powerful asset in today's data-driven landscape.

Centime is the only all-in-one finance automation and banking platform built for mid-market businesses. Instead of juggling separate tools, Centime unifies AP, AR, expense management, forecasting, and banking in one system embedded directly in ERPs like NetSuite, Sage Intacct, and QuickBooks. Finance teams gain real-time visibility across the full cash cycle, eliminate inefficiencies, and turn finance into a strategic driver of growth. Core Capabilities: - Accounts Payable: AI-powered invoice capture, PO matching, approval workflows, supplier portal, and payments that earn 3.0% APY—transforming AP into a profit center. - Accounts Receivable: Automated invoicing, AI-driven collections, dispute management, and faster cash application to reduce DSO and improve predictability. - Expense Management: Mobile-first reporting, automated approvals, and policy enforcement, compatible with any card program. - Cash Forecasting: A dynamic 13-week rolling forecast with scenario planning and KPI tracking, helping leaders optimize liquidity. - Business Banking: High-yield checking, FDIC-insured sweeps, account aggregation, and cross-bank transfers—all from a single dashboard. Centime is purpose-built to work seamlessly inside the ERP, eliminating bolt-ons and manual reconciliations. Customers typically go live in 7–21 days, backed by award-winning onboarding and support. By combining automation, forecasting, and banking in one solution, Centime streamlines operations and gives businesses unmatched control over cash.

IBM Planning Analytics, which utilizes IBM TM1®, offers a cohesive planning solution aimed at enhancing collaboration throughout the organization while adapting to the rapid pace of contemporary business. Its robust calculation engine enables this enterprise performance management tool to surpass the constraints of traditional spreadsheets, streamlining the planning process for quicker and more precise outcomes. By consolidating extensive data into a single repository, users are empowered to create advanced, multidimensional models that yield more trustworthy forecasts. Instead of relying on cumbersome and error-prone planning methods, organizations can adopt a more automated and dependable approach tailored for actual business needs. This platform effectively dismantles silos, integrates data, and harmonizes planning efforts across the organization, providing a comprehensive overview to facilitate cohesive plans. Users can visualize the consequences of their decisions before implementation through the use of what-if scenarios, and they have the ability to modify plans in real-time to respond to changing circumstances. Ultimately, this flexibility allows businesses to stay agile in an ever-evolving market.

Utilize innovative technology to eliminate monotonous and repetitive tasks. Our platform enables your team to automate manual processes that are prone to errors, resulting in improved efficiency, accuracy, and valuable insights. Consolidate data from various sources, maintain data integrity, calculate your VAT responsibilities, and file returns with HMRC seamlessly. Whether you're managing ERP data for transfer pricing calculations or determining intragroup pricing, our platform accommodates any data source, allowing you to implement your preferred transfer pricing methodologies and visualize their effects. Instead of relying on a precarious spreadsheet for your PAYE Settlement Agreement (PSA), utilize managed employee data to accurately process expense claims. Streamline salary data input to ensure that all calculations are handled without oversight. ARKK is designed to automate the financial functions of your organization. By substituting outdated tools with advanced technology, finance teams are empowered to unify their data, process information, and derive insights more swiftly and precisely than ever before, ultimately transforming the way they work. This leads to enhanced decision-making and better strategic outcomes for your business.