Alternatives to DataSift

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

With more than three decades of expertise in data discovery and transformation, Altair Monarch stands out as an industry pioneer, providing the quickest and most user-friendly method for extracting data from a variety of sources. Users can easily create workflows without any coding knowledge, allowing for collaboration in transforming challenging data formats like PDFs, spreadsheets, text files, as well as data from big data sources and other structured formats into organized rows and columns. Regardless of whether the data is stored locally or in the cloud, Altair Monarch streamlines preparation tasks, leading to faster outcomes and delivering reliable data that supports informed business decision-making. This robust solution empowers organizations to harness their data effectively, ultimately driving growth and innovation. For more information about Altair Monarch or to access a free version of its enterprise software, please click the links provided below.

Tamr offers a cutting-edge data mastering platform that combines machine learning and human input to eliminate data silos, ensuring continuous data cleansing and accurate information flow throughout your organization. Collaborating with top companies globally, Tamr addresses significant data-related challenges they face. Resolve issues such as duplicate entries and inaccuracies to gain a comprehensive understanding of your data, encompassing everything from customers to products and suppliers. This advanced data mastering solution not only streamlines the integration of machine learning and human expertise but also facilitates delivering reliable data that informs business decisions effectively. By providing clean data to analytics and operational systems, it reduces the effort required by up to 80% compared to conventional methods. Tamr empowers financial institutions to maintain a data-driven approach and enhance their business results, while also assisting public sector organizations in achieving their mission goals faster by minimizing manual processes associated with data entity resolution. Ultimately, Tamr’s platform fosters a more efficient data landscape, driving innovation and improved decision-making across various sectors.

The PI System unveils operational insights and opens up new avenues for innovation. By facilitating digital transformation, the PI System harnesses reliable, high-quality operational data to drive progress. It allows for data collection, enhancement, and real-time delivery from any location. This empowers both engineers and operators alike, while also speeding up the efforts of analysts and data scientists. Furthermore, it creates opportunities for new business ventures. The system is capable of gathering real-time data from a multitude of assets, including legacy systems, proprietary technologies, remote devices, mobile units, and IIoT devices. With the PI System, your data becomes accessible regardless of its location or format. It enables the storage of decades of data with sub-second precision, offering you immediate access to high-fidelity historical, real-time, and predictive data crucial for maintaining essential operations and gaining valuable business insights. By incorporating intuitive labels and metadata, the system enhances the meaning of data. You can also establish data hierarchies that mirror your operational and reporting structures. With the addition of context, data points transform from mere numbers into a comprehensive narrative that encompasses the entire picture, allowing informed decision-making. This holistic view ultimately leads to more strategic planning and operational excellence.

kdb Insights is an advanced analytics platform built for the cloud, enabling high-speed real-time analysis of both live and past data streams. It empowers users to make informed decisions efficiently, regardless of the scale or speed of the data, and boasts exceptional price-performance ratios, achieving analytics performance that is up to 100 times quicker while costing only 10% compared to alternative solutions. The platform provides interactive data visualization through dynamic dashboards, allowing for immediate insights that drive timely decision-making. Additionally, it incorporates machine learning models to enhance predictive capabilities, identify clusters, detect patterns, and evaluate structured data, thereby improving AI functionalities on time-series datasets. With remarkable scalability, kdb Insights can manage vast amounts of real-time and historical data, demonstrating effectiveness with loads of up to 110 terabytes daily. Its rapid deployment and straightforward data ingestion process significantly reduce the time needed to realize value, while it natively supports q, SQL, and Python, along with compatibility for other programming languages through RESTful APIs. This versatility ensures that users can seamlessly integrate kdb Insights into their existing workflows and leverage its full potential for a wide range of analytical tasks.

CENX Service Assurance offers a comprehensive view of service topology, inventory, faults, and performance across various systems, bringing them together into one cohesive interface. This level of insight empowers operators to enhance hybrid communication networks and implement automated processes effectively. Consequently, they can rapidly roll out next-generation services, explore innovative business models, and embrace advanced technologies like Network Functions Virtualization (NFV), Software-Defined Networking (SDN), Self-organizing Networks (SON), as well as 5G and IoT, all while keeping costs manageable. By fundamentally transforming how service providers interact with their networks, CENX Service Assurance delivers nearly real-time actionable visibility, triggers closed-loop actions, and integrates inventory and fault correlation, supplemented by Threshold Crossover Alert (TCA) analysis on performance metrics from various sources. This innovative approach paves the way for numerous cutting-edge enterprise applications within the realm of 5G technology, pushing the boundaries of what is possible in network management.

Talend Data Fabric's cloud services are able to efficiently solve all your integration and integrity problems -- on-premises or in cloud, from any source, at any endpoint. Trusted data delivered at the right time for every user. With an intuitive interface and minimal coding, you can easily and quickly integrate data, files, applications, events, and APIs from any source to any location. Integrate quality into data management to ensure compliance with all regulations. This is possible through a collaborative, pervasive, and cohesive approach towards data governance. High quality, reliable data is essential to make informed decisions. It must be derived from real-time and batch processing, and enhanced with market-leading data enrichment and cleaning tools. Make your data more valuable by making it accessible internally and externally. Building APIs is easy with the extensive self-service capabilities. This will improve customer engagement.

An in-memory, column-oriented database combined with a Massively Parallel Processing (MPP) architecture enables the rapid querying of billions of records within mere seconds. The distribution of queries across all nodes in a cluster ensures linear scalability, accommodating a larger number of users and facilitating sophisticated analytics. The integration of MPP, in-memory capabilities, and columnar storage culminates in a database optimized for exceptional data analytics performance. With various deployment options available, including SaaS, cloud, on-premises, and hybrid solutions, data analysis can be performed in any environment. Automatic tuning of queries minimizes maintenance efforts and reduces operational overhead. Additionally, the seamless integration and efficiency of performance provide enhanced capabilities at a significantly lower cost compared to traditional infrastructure. Innovative in-memory query processing has empowered a social networking company to enhance its performance, handling an impressive volume of 10 billion data sets annually. This consolidated data repository, paired with a high-speed engine, accelerates crucial analytics, leading to better patient outcomes and improved financial results for the organization. As a result, businesses can leverage this technology to make quicker data-driven decisions, ultimately driving further success.

Enterprise Enabler brings together disparate information from various sources and isolated data sets, providing a cohesive view within a unified platform; this includes data housed in the cloud, distributed across isolated databases, stored on instruments, located in Big Data repositories, or found within different spreadsheets and documents. By seamlessly integrating all your data, it empowers you to make timely and well-informed business choices. The system creates logical representations of data sourced from its original locations, enabling you to effectively reuse, configure, test, deploy, and monitor everything within a single cohesive environment. This allows for the analysis of your business data as events unfold, helping to optimize asset utilization, reduce costs, and enhance your business processes. Remarkably, our deployment timeline is typically 50-90% quicker, ensuring that your data sources are connected and operational in record time, allowing for real-time decision-making based on the most current information available. With this solution, organizations can enhance collaboration and efficiency, leading to improved overall performance and strategic advantage in the market.

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.

bi(OS)® offers an unmatched speed to insight for developers of data applications in a cohesive manner. With bi(OS)®, the entire process of creating data applications can be completed in just a matter of hours to days. This comprehensive approach encompasses the integration of diverse data sources, the extraction of real-time insights, and the smooth deployment into production environments. By joining forces with enterprise data teams across various sectors, you can transform into the data superhero your organization needs. The combination of Open Source, Cloud, and SaaS has not fulfilled its potential for delivering genuine data-driven results. Enterprises have largely focused their investments on data movement and integration, a strategy that is ultimately unsustainable. A fresh perspective on data management is urgently required, one that considers the unique challenges of enterprises. bi(OS)® is designed by rethinking fundamental principles in enterprise data management, ranging from data ingestion to insight generation. It caters to the needs of API, AI, and BI developers in a cohesive manner, enabling data-driven outcomes within days. As engineers collaborate effectively, a harmonious relationship emerges among IT teams, tools, and processes, creating a lasting competitive advantage for the organization.

biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.

Ignite your creativity with unparalleled Points-of-Interest (POI) data, comprehensive business listings, and insights into store visitor behavior across the United States. This extensive dataset features approximately 5 million POIs, encompassing every venue where consumers spend their money, including prominent retail chains, shopping centers, convenience stores, airports, and more. Additionally, it provides analytics on store visits, foot traffic statistics, and demographic insights related to POIs. The data can address critical questions such as the frequency of visits to stores, the origins of visitors, and their other shopping preferences. Effortlessly merge your current POI information with SafeGraph's enhanced Places data, which includes details like business categories, operating hours, visitation counts, and peak times. More than 5,000 leading brands are mapped to over 1 million points of interest, ensuring a comprehensive view. Locations that generate noise, such as ATMs and Red Box kiosks, are excluded from the dataset, as are closed businesses and irrelevant entities like home-based LLCs lacking employees. This meticulous curation guarantees that you receive only the most relevant and actionable insights for your commercial endeavors.

DataMax is an enterprise-ready solution that simplifies the intricate aspects of real-time data management, enabling organizations to develop, deploy, and operate at scale with ease. This platform enhances the speed at which businesses can implement change. Featuring a distinctive architecture, process, and a blend of specialized technologies, DataMax transitions organizations from scattered data and reporting sources to a comprehensive data overview, granting them the insights necessary for more efficient operations. Its innovative combination of technologies ensures robust data management suitable for enterprise demands. The system has demonstrated its scalability and is designed for cloud deployment, accommodating both time series and non-time series data. By generating analytics platforms, it significantly elevates the quality of data, analysis, and reporting available to market analytics teams, thereby enhancing the decision-making capabilities of Traders. Ultimately, DataMax empowers organizations to respond swiftly to market dynamics and improve their overall business strategies.

TAMI provides the most complete and accurate picture of your market and gives you direct access to 130M companies and over 532M verified business contacts. Fully GDPR compliant. We specialise in European data and have a patent technology in Europe. Streamline your sales strategy and improve the efficiency of your teams' prospecting efforts,

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

Doolytic is at the forefront of big data discovery, integrating data exploration, advanced analytics, and the vast potential of big data. The company is empowering skilled BI users to participate in a transformative movement toward self-service big data exploration, uncovering the inherent data scientist within everyone. As an enterprise software solution, doolytic offers native discovery capabilities specifically designed for big data environments. Built on cutting-edge, scalable, open-source technologies, doolytic ensures lightning-fast performance, managing billions of records and petabytes of information seamlessly. It handles structured, unstructured, and real-time data from diverse sources, providing sophisticated query capabilities tailored for expert users while integrating with R for advanced analytics and predictive modeling. Users can effortlessly search, analyze, and visualize data from any format and source in real-time, thanks to the flexible architecture of Elastic. By harnessing the capabilities of Hadoop data lakes, doolytic eliminates latency and concurrency challenges, addressing common BI issues and facilitating big data discovery without cumbersome or inefficient alternatives. With doolytic, organizations can truly unlock the full potential of their data assets.

BIRD Analytics is an exceptionally rapid, high-performance, comprehensive platform for data management and analytics that leverages agile business intelligence alongside AI and machine learning models to extract valuable insights. It encompasses every component of the data lifecycle, including ingestion, transformation, wrangling, modeling, and real-time analysis, all capable of handling petabyte-scale datasets. With self-service features akin to Google search and robust ChatBot integration, BIRD empowers users to find solutions quickly. Our curated resources deliver insights, from industry use cases to informative blog posts, illustrating how BIRD effectively tackles challenges associated with Big Data. After recognizing the advantages BIRD offers, you can arrange a demo to witness the platform's capabilities firsthand and explore how it can revolutionize your specific data requirements. By harnessing AI and machine learning technologies, organizations can enhance their agility and responsiveness in decision-making, achieve cost savings, and elevate customer experiences significantly. Ultimately, BIRD Analytics positions itself as an essential tool for businesses aiming to thrive in a data-driven landscape.

Smart DIH is a data management platform that quickly serves applications with accurate, fresh and complete data, delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH decouples APIs from SoRs, replicating critical data, and making it available using event-driven architecture. Smart DIH enables drastically shorter development cycles of new digital services, and rapidly scales to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on. XAP Skyline is a distributed in-memory development platform that delivers transactional consistency, combined with extreme event-based processing and microsecond latency. The platform fuels core business solutions that rely on instantaneous data, including online trading, real-time risk management and data processing for AI and large language models.

Nexus empowers organizations to derive significant insights from various data types, formats, and systems, whether they reside in the cloud or on-premises. By utilizing advanced machine learning algorithms, it processes data in real-time before any storage occurs, ensuring efficiency. It securely connects with diverse data sources and business systems, safeguarding your investment in technological infrastructure. Additionally, Nexus enhances your proprietary data by integrating it with external public data sources, such as social media and geographic information. This innovative approach allows for the extraction of intelligence in unique ways, revealing hidden contexts and correlations through a comprehensive ontological analysis of the data. Furthermore, its composable microservices, which can be easily invoked as code, streamline the integration process with existing data frameworks. With the capability to securely provision and orchestrate multiple services at any scale, Nexus ensures rapid deployment, delivering value to customers within mere hours while continuously adapting to their evolving needs.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

Data serves as the essential foundation for both innovation and valuable insights. With Civis Analytics’ user-friendly technology and extensive expertise, organizations of all sizes can access audience intelligence, enhance engagement, and foster growth, and we are poised to transform your organization as well. The value of data cannot be overstated; however, it often exists in a fragmented state—scattered, duplicated, and locked away in silos. To truly harness its capabilities, it is crucial to unify, cleanse, and centralize this data, allowing insights to emerge that drive innovation, enhance customer engagement, and provide a competitive edge. Civis’s data solutions are changing the landscape for organizations like yours by streamlining how they gather, access, and utilize their data, empowering you to maximize its potential and effectively communicate with the right audience at the ideal moment, consistently. By eliminating duplicate profiles, you can achieve a comprehensive understanding of each customer, paving the way for more personalized and effective engagement strategies. This holistic approach not only enhances customer relationships but also positions your organization for sustained success in an increasingly data-driven world.

Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence.

Utilize state-of-the-art data science tools to revolutionize your business results. SynctacticAI transforms your company's journey by employing sophisticated data science tools, algorithms, and systems to derive valuable knowledge and insights from both structured and unstructured data sets. Uncover insights from your data, whether it's structured or unstructured, and whether you're handling it in batches or in real-time. The Sync Discover feature plays a crucial role in identifying relevant data points and methodically organizing large data collections. Scale your data processing capabilities with Sync Data, which offers an intuitive interface that allows for easy configuration of your data pipelines through simple drag-and-drop actions, enabling you to process data either manually or according to specified schedules. Harnessing the capabilities of machine learning makes the process of deriving insights from data seamless and straightforward. Just choose your target variable, select features, and pick from our array of pre-built models, and Sync Learn will automatically manage the rest for you, ensuring an efficient learning process. This streamlined approach not only saves time but also enhances overall productivity and decision-making within your organization.

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.

VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.

Phocas provides an all-in-one business intelligence (BI) and financial planning and analysis (FP&A) platform for mid-market businesses who make, move and sell. Driven by a mission to make people feel good about data, Phocas helps businesses connect, understand, and plan better together. Partnering with ERP systems like Epicor, Sage, Oracle NetSuite, Phocas extends their capabilities by consolidating ERP, CRM, spreadsheets and other data sources into one easy-to-use platform, offering a range of tools to analyze, report, and plan. Its key features include intuitive dashboards, ad hoc reporting, dynamic financial statements, flexible budgeting, accurate forecasting, and automated rebate management. With real-time insights and secure access, Phocas empowers cross-functional teams to explore data and make informed decisions confidently. Designed to be self-serve for all business users, Phocas simplifies data-driven processes by automating manual tasks like consolidating financial and operational data – saving time and reducing errors. Whether you're preparing month-end reports, analyzing trends, managing cash flow, or optimizing rebates, Phocas provides the clarity you need to stay ahead.

The Unified Analytics Warehouse. The Unified Analytics Warehouse is the best place to find high-performing analytics and machine learning at large scale. Tech research analysts are seeing new leaders as they strive to deliver game-changing big data analytics. Vertica empowers data-driven companies so they can make the most of their analytics initiatives. It offers advanced time-series, geospatial, and machine learning capabilities, as well as data lake integration, user-definable extensions, cloud-optimized architecture and more. Vertica's Under the Hood webcast series allows you to dive into the features of Vertica - delivered by Vertica engineers, technical experts, and others - and discover what makes it the most scalable and scalable advanced analytical data database on the market. Vertica supports the most data-driven disruptors around the globe in their pursuit for industry and business transformation.

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

Utilize Azure Resource Manager to quickly establish and deploy an Azure Analysis Services instance, allowing for the swift transfer of your existing models to take full advantage of the cloud's scalability, flexibility, and management features. You can easily scale up, scale down, or temporarily suspend the service, ensuring you only pay for what you actually utilize. Integrate data from diverse sources into a cohesive and reliable BI semantic model that is user-friendly and straightforward. By simplifying the representation of data and its foundational structure, you empower business users with self-service capabilities and facilitate data exploration. This approach significantly accelerates the time-to-insight for large and intricate datasets, ensuring that your BI solutions are responsive and aligned with the demands of your organization. Additionally, leverage DirectQuery to connect with real-time operational data, enabling you to monitor your business dynamics closely. Finally, enhance your data visualization experience by employing your preferred data visualization tools, making insights more accessible and actionable. This comprehensive solution not only enhances data usability but also drives better decision-making within the organization.

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Transform your business with the capabilities of a vast team of data scientists and analysts at your fingertips. Our AI-driven analytics platform is designed for ease of use and accessibility, allowing anyone to interpret complex data effortlessly. Instead of merely dedicating your time to gathering and analyzing past data, shift your focus towards crafting compelling narratives that guide future actions. With Pickaxe, everything is streamlined for you in real-time, featuring AI-enhanced dashboards and profound human insights. While your data platform may reveal ‘what’ is occurring, it should also provide clarity on ‘so what’ and ‘now what’ to drive informed decision-making. By leveraging these insights, you can elevate your strategic initiatives and respond proactively to emerging opportunities.

Cumulocity IoT stands out as the premier low-code, self-service IoT platform, uniquely offering pre-integration with essential tools for rapid outcomes, including device connectivity and management, application enablement, integration, and advanced analytics for both streaming and predictive insights. Break free from restrictive proprietary technology ecosystems, as this platform is entirely open, allowing you to connect any device today or in the future. Customize your setup by bringing your own hardware and selecting the components that suit your needs best. You can quickly jump into the IoT world within minutes by connecting a device, monitoring its data, and crafting an interactive dashboard in real-time. Additionally, you can establish rules to oversee and respond to events—all without needing IT assistance or writing any code! Effortlessly integrate fresh IoT data into the existing core enterprise systems, applications, and processes that have supported your business for years, again without the need for coding, ensuring seamless data flow. This capability enhances your understanding, providing you with richer context to make informed decisions and improve overall business outcomes.

An AI-driven self-service platform for advanced analytics allows users to connect diverse data sources and create visualizations effortlessly, eliminating the need for programming skills. This cloud-native solution delivers high-quality data and intelligent real-time insights across the organization with a no-code approach. Users can link various data sources, regardless of their formats, enabling the detection of underlying issues. The platform significantly reduces the time taken from sourcing to targeting data, while providing analytics accessible to those without technical expertise. With real-time data updates, users can connect any kind of data source, streaming it to a data lake at defined intervals, and visualize the information through sophisticated interactive dashboards. It combines descriptive, predictive, and prescriptive analytics in one platform, utilizing the capabilities of a search engine alongside advanced visualization techniques. There’s no need for conventional technology to explore data in multiple visualization styles. Users can easily manipulate data through roll-ups, slicing, and dicing, employing various mathematical computations directly within the Bizintel360 visualization environment, thus enhancing their analytical capabilities. This empowers businesses to make data-driven decisions with ease and speed.

Gain access to detailed data for seamless analysis of billions of rows and achieve real-time reporting in mere seconds! Sigview, a plug-and-play data analytics tool from Sigmoid, simplifies exploratory data analysis and is built on Apache Spark, allowing users to delve into extensive data sets almost instantly. With approximately 30,000 users worldwide leveraging this tool to evaluate billions of ad impressions, Sigview is expertly designed to provide immediate access to both programmatic and non-programmatic data while generating real-time reports. Whether your aim is to enhance ad campaign performance, uncover new inventory, or explore revenue opportunities in an evolving market, Sigview serves as the ultimate platform for your reporting requirements. It seamlessly connects to various data sources, including DFP, Pixel Servers, and audience viewability partners, enabling the ingestion of data in any format and location while ensuring data latency remains below 15 minutes. This capability allows users to make informed decisions quickly and adapt to changing business landscapes with confidence.

Keboola is an open-source serverless integration hub for data/people, and AI models. We offer a cloud-based data integration platform designed to support all aspects of data extraction, cleaning and enrichment. The platform is highly collaborative and solves many of the most difficult problems associated with IT-based solutions. The seamless UI makes it easy for even novice business users to go from data acquisition to building a Python model in minutes. You should try us! You will love it!

Alooma provides data teams with the ability to monitor and manage their data effectively. It consolidates information from disparate data silos into BigQuery instantly, allowing for real-time data integration. Users can set up data flows in just a few minutes, or opt to customize, enhance, and transform their data on-the-fly prior to it reaching the data warehouse. With Alooma, no event is ever lost thanks to its integrated safety features that facilitate straightforward error management without interrupting the pipeline. Whether dealing with a few data sources or a multitude, Alooma's flexible architecture adapts to meet your requirements seamlessly. This capability ensures that organizations can efficiently handle their data demands regardless of scale or complexity.

The rise of data-driven decision-making has resulted in a significant increase in business data and a heightened demand for its analysis. This phenomenon is prompting IT departments to transition from costly Enterprise Data Warehouses (EDW) to more economical Big Data platforms such as Hadoop or AWS, which boast a Total Cost of Ownership (TCO) that is approximately ten times less. Nevertheless, these new systems are not particularly suited for interactive business intelligence (BI) applications, as they struggle to provide the same level of performance and user concurrency that traditional EDWs offer. To address this shortcoming, Jethro was created. It serves customers by enabling interactive BI on Big Data without necessitating any modifications to existing applications or data structures. Jethro operates as a seamless middle tier, requiring no maintenance and functioning independently. Furthermore, it is compatible with various BI tools like Tableau, Qlik, and Microstrategy, while also being agnostic to data sources. By fulfilling the needs of business users, Jethro allows thousands of concurrent users to efficiently execute complex queries across billions of records, enhancing overall productivity and decision-making capabilities. This innovative solution represents a significant advancement in the field of data analytics.

Inzata Analytics is an AI-powered, end to end data analytics software solution. Inzata transforms your raw data into actionable insights using a single platform. Inzata Analytics makes it easy to build your entire data warehouse in a matter of minutes. Inzata's over 700 data connectors make data integration easy and quick. Our patented aggregation engine guarantees pre-blended, blended, and organized data models within seconds. Inzata's latest tool, InFlow, allows you to create automated data pipeline workflows that allow for real-time data analysis updates. Finally, use 100% customizable interactive dashboards to display your business data. Inzata gives you the power of real-time analysis to boost your business' agility and responsiveness.

Effortlessly leverage your entire system's data with our SHREWD Platform, which features advanced tools and open APIs. The SHREWD Platform is equipped with integration and data collection tools that support the operations of various SHREWD modules. These tools consolidate data and securely store it in a UK-based data lake. Subsequently, the data can be accessed by SHREWD modules or through an API, allowing for the transformation of raw information into actionable insights tailored to specific needs. The platform can ingest data in virtually any format, whether it’s in traditional spreadsheets or through modern digital systems via APIs. Additionally, the system’s open API facilitates third-party connections, enabling external applications to utilize the information stored in the data lake when necessary. By providing an operational data layer that serves as a real-time single source of truth, the SHREWD Platform empowers its modules to deliver insightful analytics, enabling managers and decision-makers to act promptly and effectively. This holistic approach to data management ensures that organizations can remain agile and responsive to changing demands.

A mobile-based portal enhanced with third-party data offers the capability to: — reconstruct the sociodemographic profiles of users, including attributes like gender and age, — create distinct user segments such as young parents, frequent travelers, blue-collar workers, university students, and affluent residents, — deliver analytics tailored to client specifications, addressing factors like user concentration in specific areas, customer loyalty, emerging trends, variations, and competitive comparisons, — identify optimal sites for establishing new kindergartens, supermarkets, or malls based on concentrations of users, their interests, and sociodemographic characteristics. Initially developed as a bespoke solution for a client in the UAE, this offering has evolved into a comprehensive product in response to increasing demand, assisting various businesses in tackling crucial challenges and answering significant queries such as: — initiating highly targeted advertising campaigns, — discovering the most advantageous locations for new business establishments, — pinpointing ideal spots for outdoor advertising displays, and significantly enhancing strategic planning efforts.

WhereScape is a tool that helps IT organizations of any size to use automation to build, deploy, manage, and maintain data infrastructure faster. WhereScape automation is trusted by more than 700 customers around the world to eliminate repetitive, time-consuming tasks such as hand-coding and other tedious aspects of data infrastructure projects. This allows data warehouses, vaults and lakes to be delivered in days or weeks, rather than months or years.

No matter what your business requirements are, quickly unearth concealed insights with HyperCube, a platform tailored to meet the needs of data scientists. Harness your business data effectively to gain clarity, identify untapped opportunities, make forecasts, and mitigate risks before they arise. HyperCube transforms vast amounts of data into practical insights. Whether you're just starting with analytics or are a seasoned machine learning specialist, HyperCube is thoughtfully crafted to cater to your needs. It serves as the multifaceted tool of data science, integrating both proprietary and open-source code to provide a diverse array of data analysis capabilities, available either as ready-to-use applications or tailored business solutions. We are committed to continuously enhancing our technology to offer you the most cutting-edge, user-friendly, and flexible outcomes. You can choose from a variety of applications, data-as-a-service (DaaS), and tailored solutions for specific industries, ensuring that your unique requirements are met efficiently. With HyperCube, unlocking the full potential of your data has never been more accessible.

Keen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.

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.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

SmartHub Analytics is a specialized platform for telecom big-data analytics that focuses on financial and subscriber-centric ROI-driven applications. It is specifically developed to foster data sharing and reuse, thereby enhancing business performance and providing analytics that are instantly actionable. By breaking down silos, SmartHub Analytics can evaluate, verify, and model extensive datasets from TEOCO’s array of solutions, which encompass areas like customer management, planning, optimization, service assurance, geo-location, service quality, and costs. Additionally, as an extra analytics layer integrated with existing OSS and BSS systems, SmartHub Analytics establishes an independent analytics environment that has demonstrated substantial returns on investment, allowing operators to save billions. Our approach frequently reveals substantial cost reductions for clients through the application of predictive machine learning techniques. Moreover, SmartHub Analytics consistently leads the industry by offering rapid data analysis capabilities, ensuring that businesses can adapt and respond to market changes with agility and precision.