Alternatives to AllegroGraph

MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

RavenDB is a pioneering NoSQL Document Database. It is fully transactional (ACID across your database and within your cluster). Our open-source distributed database has high availability and high performance, with minimal administration. It is an all-in-one database that is easy to use. This reduces the need to add on tools or support for developers to increase developer productivity and speed up your project's production. In minutes, you can create and secure a data cluster and deploy it in the cloud, on-premise, or in a hybrid environment. RavenDB offers a Database as a Service, which allows you to delegate all database operations to us, so you can concentrate on your application. RavenDB's built-in storage engine Voron can perform at speeds of up to 1,000,000 reads per second and 150,000 write per second on a single node. This allows you to improve your application's performance by using simple commodity hardware.

Amazon DynamoDB is a versatile key-value and document database that provides exceptional single-digit millisecond performance, regardless of scale. As a fully managed service, it offers multi-region, multimaster durability along with integrated security features, backup and restore capabilities, and in-memory caching designed for internet-scale applications. With the ability to handle over 10 trillion requests daily and support peak loads exceeding 20 million requests per second, it serves a wide range of businesses. Prominent companies like Lyft, Airbnb, and Redfin, alongside major enterprises such as Samsung, Toyota, and Capital One, rely on DynamoDB for their critical operations, leveraging its scalability and performance. This allows organizations to concentrate on fostering innovation without the burden of operational management. You can create an immersive gaming platform that manages player data, session histories, and leaderboards for millions of users simultaneously. Additionally, it facilitates the implementation of design patterns for various applications like shopping carts, workflow engines, inventory management, and customer profiles. DynamoDB is well-equipped to handle high-traffic, large-scale events seamlessly, making it an ideal choice for modern applications.

JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations. The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively. Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.

MongoDB is a versatile, document-oriented, distributed database designed specifically for contemporary application developers and the cloud landscape. It offers unparalleled productivity, enabling teams to ship and iterate products 3 to 5 times faster thanks to its adaptable document data model and a single query interface that caters to diverse needs. Regardless of whether you're serving your very first customer or managing 20 million users globally, you'll be able to meet your performance service level agreements in any setting. The platform simplifies high availability, safeguards data integrity, and adheres to the security and compliance requirements for your critical workloads. Additionally, it features a comprehensive suite of cloud database services that support a broad array of use cases, including transactional processing, analytics, search functionality, and data visualizations. Furthermore, you can easily deploy secure mobile applications with built-in edge-to-cloud synchronization and automatic resolution of conflicts. MongoDB's flexibility allows you to operate it in various environments, from personal laptops to extensive data centers, making it a highly adaptable solution for modern data management challenges.

Neo4j's graph platform is designed to help you leverage data and data relationships. Developers can create intelligent applications that use Neo4j to traverse today's interconnected, large datasets in real-time. Neo4j's graph database is powered by a native graph storage engine and processing engine. It provides unique, actionable insights through an intuitive, flexible, and secure database.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

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.

Graphlytic is a web-based BI platform that allows knowledge graph visualization and analysis. Interactively explore the graph and look for patterns using the Cypher query language or query templates for non-technical users. Users can also use filters to find answers to any graph question. The graph visualization provides deep insights into industries such as scientific research and anti-fraud investigation. Even users with little knowledge of graph theory can quickly explore the data. Cytoscape.js allows graph rendering. It can render tens to thousands of nodes and hundreds upon thousands of relationships. The application is available in three formats: Desktop, Cloud, or Server. Graphlytic Desktop is a Neo4j Desktop app that can be installed in just a few mouse clicks. Cloud instances are great for small teams who don't want or need to worry about installing and need to be up and running quickly.

The TigerGraph™, a graph platform based on its Native Parallel Graph™, technology, represents the next evolution in graph database evolution. It is a complete, distributed parallel graph computing platform that supports web-scale data analytics in real time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you've been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

Locstat is a cutting-edge graph intelligence platform that offers tailored industry-specific and point solutions through the integration of graph-based AI, analytics, and event processing, allowing organizations to swiftly enhance their data solutions for the future. Studies indicate that embracing forward-thinking, AI-enhanced digitalization strategies can yield substantial advantages and improvements for organizations. Our success in boosting customer efficiencies has led to notable returns on investment, corroborated by independent research firms. This underscores the effectiveness of advanced analytics technologies in addressing the intricate challenges of today more economically compared to traditional relational database solutions. As the demand for innovative data strategies grows, organizations that leverage these advanced tools can position themselves for long-term success.

The foundation of creating intelligent systems lies in the database, and Grakn serves as a sophisticated knowledge graph database. It features an incredibly user-friendly and expressive data schema that allows for the definition of hierarchies, hyper-entities, hyper-relations, and rules to establish detailed knowledge models. With its intelligent language, Grakn executes logical inferences on data types, relationships, attributes, and intricate patterns in real-time across distributed and stored data. It also offers built-in distributed analytics algorithms, such as Pregel and MapReduce, which can be accessed using straightforward queries within the language. The system provides a high level of abstraction over low-level patterns, simplifying the expression of complex constructs while optimizing query execution automatically. By utilizing Grakn KGMS and Workbase, enterprises can effectively scale their knowledge graphs. Furthermore, this distributed database is engineered to function efficiently across a network of computers through techniques like partitioning and replication, ensuring seamless scalability and performance.

When seeking a database that ensures both scalability and high availability without sacrificing performance, Apache Cassandra stands out as an ideal option. Its linear scalability paired with proven fault tolerance on standard hardware or cloud services positions it as an excellent choice for handling mission-critical data effectively. Additionally, Cassandra's superior capability to replicate data across several datacenters not only enhances user experience by reducing latency but also offers reassurance in the event of regional failures. This combination of features makes it a robust solution for organizations that prioritize data resilience and efficiency.

Introducing a versatile, open-source multi-cloud platform for contemporary data applications, built on Apache Cassandra™. Achieve global-scale performance with guaranteed 100% uptime while avoiding vendor lock-in. You have the flexibility to deploy on multi-cloud environments, on-premises infrastructures, or use Kubernetes. The platform is designed to be elastic and offers a pay-as-you-go pricing model to enhance total cost of ownership. Accelerate your development process with Stargate APIs, which support NoSQL, real-time interactions, reactive programming, as well as JSON, REST, and GraphQL formats. Bypass the difficulties associated with managing numerous open-source projects and APIs that lack scalability. This solution is perfect for various sectors including e-commerce, mobile applications, AI/ML, IoT, microservices, social networking, gaming, and other highly interactive applications that require dynamic scaling based on demand. Start your journey of creating modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Leverage REST, GraphQL, and JSON alongside your preferred full-stack framework. This platform ensures that your richly interactive applications are not only elastic but also ready to gain traction from the very first day, all while offering a cost-effective Apache Cassandra DBaaS that scales seamlessly and affordably as your needs evolve. With this innovative approach, developers can focus on building rather than managing infrastructure.

Store data in its native format for graph, document, and search purposes. Leverage a comprehensive query language that allows for rich access to this data. Map the data directly to the database and interact with it through optimal methods tailored for specific tasks, such as traversals, joins, searches, rankings, geospatial queries, and aggregations. Experience the benefits of polyglot persistence without incurring additional costs. Design, scale, and modify your architectures with ease to accommodate evolving requirements, all while minimizing effort. Merge the adaptability of JSON with advanced semantic search and graph technologies, enabling the extraction of features even from extensive datasets, thereby enhancing data analysis capabilities. This combination opens up new possibilities for handling complex data scenarios efficiently.

Analance is a comprehensive and scalable solution that integrates Data Science, Advanced Analytics, Business Intelligence, and Data Management into one seamless, self-service platform. Designed to empower users with essential analytical capabilities, it ensures that data insights are readily available to all, maintains consistent performance as user demands expand, and meets ongoing business goals within a singular framework. Analance is dedicated to transforming high-quality data into precise predictions, providing both seasoned data scientists and novice users with intuitive, point-and-click pre-built algorithms alongside a flexible environment for custom coding. By bridging the gap between advanced analytics and user accessibility, Analance facilitates informed decision-making across organizations. Company – Overview Ducen IT supports Business and IT professionals in Fortune 1000 companies by offering advanced analytics, business intelligence, and data management through its distinctive, all-encompassing data science platform known as Analance.

Fauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with.

Couchbase distinguishes itself from other NoSQL databases by delivering an enterprise-grade, multicloud to edge solution that is equipped with the powerful features essential for mission-critical applications on a platform that is both highly scalable and reliable. This distributed cloud-native database operates seamlessly in contemporary dynamic settings, accommodating any cloud environment, whether it be customer-managed or a fully managed service. Leveraging open standards, Couchbase merges the advantages of NoSQL with the familiar structure of SQL, thereby facilitating a smoother transition from traditional mainframe and relational databases. Couchbase Server serves as a versatile, distributed database that integrates the benefits of relational database capabilities, including SQL and ACID transactions, with the adaptability of JSON, all built on a foundation that is remarkably fast and scalable. Its applications span various industries, catering to needs such as user profiles, dynamic product catalogs, generative AI applications, vector search, high-speed caching, and much more, making it an invaluable asset for organizations seeking efficiency and innovation.

Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.

Azure Cosmos DB offers a fully managed NoSQL database solution tailored for contemporary application development, ensuring single-digit millisecond response times and an impressive availability rate of 99.999 percent, all supported by service level agreements. This service provides automatic, instantaneous scalability and supports open-source APIs for MongoDB and Cassandra, allowing for rapid data operations. With its turnkey multi-master global distribution, users can experience swift read and write operations from any location around the globe. Additionally, Azure Cosmos DB enables organizations to accelerate their decision-making processes by facilitating near-real-time analytics and AI capabilities on the operational data housed within the database. Furthermore, Azure Synapse Link for Azure Cosmos DB integrates effortlessly with Azure Synapse Analytics, ensuring smooth performance without necessitating data movement or compromising the efficiency of the operational data store, enhancing the overall functionality of your data strategy. This integration not only streamlines workflows but also empowers users to derive insights more efficiently.

Aerospike is the global leader for next-generation, real time NoSQL data solutions at any scale. Aerospike helps enterprises overcome seemingly impossible data bottlenecks and compete with other companies at a fraction of the cost and complexity of legacy NoSQL databases. Aerospike's Hybrid Memory Architecture™ is a patented technology that unlocks the full potential of modern hardware and delivers previously unimaginable value. It does this by delivering unimaginable value from huge amounts of data at both the edge, core, and in the cloud. Aerospike empowers customers with the ability to instantly combat fraud, dramatically increase shopping cart sizes, deploy global digital payment networks, and provide instant, one-to-1 personalization for millions. Aerospike customers include Airtel and Banca d'Italia as well as Snap, Verizon Media, Wayfair, PayPal, Snap, Verizon Media, and Nielsen. The company's headquarters is in Mountain View, California. Additional locations are in London, Bengaluru, India, and Tel Aviv in Israel.

Lumi AI serves as a comprehensive analytics platform designed for enterprises, allowing users to delve into data and derive personalized insights through natural language inquiries, which removes the necessity for knowledge in SQL or Python. This platform provides a range of features, including self-service analytics, conversational analytics, customizable visual representations, knowledge management, smooth integrations, and strong security measures. It caters to various teams such as data analysis, supply chain management, procurement, sales, merchandising, and financial planning by delivering actionable insights that align with specific business terminology and metrics. Lumi AI's intelligent workflows can manage both straightforward and intricate queries, revealing underlying causes and enabling sophisticated analyses while effectively interpreting language tailored to business contexts. Additionally, Lumi AI seamlessly connects with multiple data sources and upholds enterprise-level security by processing data within the client's infrastructure and implementing advanced user permissions and query management, thereby fostering a secure and efficient analytics environment. This multifaceted approach ensures that organizations can harness their data to drive informed decision-making and strategic growth.

Centrifuge Analytics™, a big data discovery tool, allows you to connect, visualize, and collaborate without the need for complex data integration or a data science degree. It combines advanced link-analysis, interactive visualizations, and discovery features to simplify data pattern recognition and connection recognition. - A fully integrated solution that empowers analysts without any IT support. - Advanced link-analysis features like pattern identification, intelligent bundling, and other unique interactive visual features - 100% Browser footprint means there is no client-side data storage which simplifies security and client administration Patent-pending server side rendering engine that allows highly scalable network graphs Agile data integration - No need for a fixed ontology to store, stage or apply. Model-based analytics – Setup once and reuse – build on the experience of more experienced analysts

JanusGraph stands out as a highly scalable graph database designed for efficiently storing and querying extensive graphs that can comprise hundreds of billions of vertices and edges, all managed across a cluster of multiple machines. This project, which operates under The Linux Foundation, boasts contributions from notable organizations such as Expero, Google, GRAKN.AI, Hortonworks, IBM, and Amazon. It offers both elastic and linear scalability to accommodate an expanding data set and user community. Key features include robust data distribution and replication methods to enhance performance and ensure fault tolerance. Additionally, JanusGraph supports multi-datacenter high availability and provides hot backups for data security. All these capabilities are available without any associated costs, eliminating the necessity for purchasing commercial licenses, as it is entirely open source and governed by the Apache 2 license. Furthermore, JanusGraph functions as a transactional database capable of handling thousands of simultaneous users performing complex graph traversals in real time. It ensures support for both ACID properties and eventual consistency, catering to various operational needs. Beyond online transactional processing (OLTP), JanusGraph also facilitates global graph analytics (OLAP) through its integration with Apache Spark, making it a versatile tool for data analysis and visualization. This combination of features makes JanusGraph a powerful choice for organizations looking to leverage graph data effectively.

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.

ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.

Metaphactory converts your data into valuable, contextual, and actionable insights, fostering ongoing decision-making intelligence. It features user-friendly interfaces that allow for seamless searching, browsing, and exploration of your Knowledge Graph right from the start. With a low-code methodology, you can create tailored interfaces that facilitate user engagement with the Knowledge Graph. You can begin with a small-scale implementation, continually refine it, and introduce additional use cases, data, and users as needed. This platform supports agile knowledge management and enables the development of applications with ease, promoting dynamic growth and adaptability in business environments. As a result, organizations can effectively manage and utilize their knowledge assets to enhance operational efficiency.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

Automatic Grapher is a software solution designed to effortlessly create graphs from your data without requiring any prior database knowledge. You can easily transfer your information from Microsoft Excel and utilize eight distinct graph types. After importing your data, you can swiftly generate statistics, graphs, and reports. With just a single click, graphs can be exported to various formats, including jpg, Word, or PDF files. This tool significantly reduces the time spent compared to traditional methods using Microsoft Excel and Access for graph creation and updates. It offers a user-friendly data management system that allows you to consolidate data from various sources through multiple import options using Excel spreadsheets. Additionally, it enhances data integrity by identifying outliers or errors, enabling you to perform thorough analyses with statistics and visualizations. The results can be exported in formats such as PDF, jpg, or Excel files, and you can manage an unlimited number of databases for different projects. Streamline your data management processes and enhance your productivity with Automatic Grapher!

OrientDB stands out as the fastest graph database globally. An independent benchmarking analysis conducted by IBM alongside the Tokyo Institute of Technology revealed that OrientDB outperforms Neo4j by a factor of ten in graph operations across various workloads. This exceptional speed can help organizations gain a competitive edge and foster innovation, ultimately leading to the development of new revenue opportunities. By leveraging OrientDB, businesses can enhance their operational efficiency and stay ahead in a rapidly evolving market.

Introducing a user-friendly yet robust suite designed for accessing, manipulating, analyzing, and showcasing data, now offered for both cloud-based and on-premises solutions. Why struggle with disparate software tools from various providers? A unified collection that features three of our most sought-after products—Base SAS, SAS/STAT, and SAS/GRAPH—minimizes expenses related to licensing, maintenance, training, and support, all while ensuring uniform access to information throughout your organization. Our SAS statistical methods are regularly updated to incorporate the latest developments in statistical science. Additionally, our technical support team consists of seasoned statisticians with master's and doctorate degrees, providing a level of expertise and service that is rare among software vendors. With over forty years of experience in crafting statistical analysis tools, SAS continues to be the trusted choice for organizations globally seeking reliable solutions for their data inquiries. This commitment to excellence ensures that you are well-equipped to make informed decisions based on accurate data insights.

Virtuoso Universal Server represents a cutting-edge platform that leverages established open standards and utilizes Hyperlinks as Super Keys to dismantle data silos that hinder both user engagement and enterprise efficiency. With Virtuoso, users can effortlessly create financial profile knowledge graphs based on near real-time financial activities, significantly lowering the costs and complexity involved in identifying fraudulent behavior patterns. Thanks to its robust, secure, and scalable database management system, it allows for intelligent reasoning and inference to unify fragmented identities through personally identifiable information such as email addresses, phone numbers, social security numbers, and driver's licenses, facilitating the development of effective fraud detection solutions. Additionally, Virtuoso empowers users to craft impactful applications powered by knowledge graphs sourced from diverse life sciences-related data sets, thereby enhancing the overall analytical capabilities in that field. This innovative approach not only streamlines the processes involved in fraud detection but also opens new avenues for data utilization across various sectors.

Datamatics TruBI software is the best in business intelligence software. It allows visualization of reports using various bar graphs and pie charts. The software allows users manage large amounts of data and to leverage it for greater organizational output. Datamatics TruBI helps companies identify and fix operational problems and provides solutions. TruBI is suitable for all types of organizations. It supports small businesses with 50 employees up to large corporations. This business analytics software streamlines all apps under one platform for ironclad monitoring, analyzing and analyzing threats.

Blazegraph™ DB is an exceptionally high-performance graph database that offers support for Blueprints, along with RDF and SPARQL APIs. Capable of handling up to 50 billion edges on a single server, it has been adopted by numerous Fortune 500 companies, including EMC and Autodesk. This database is integral to various Precision Medicine applications and enjoys extensive use in the life sciences sector. Additionally, it plays a crucial role in cyber analytics for both commercial enterprises and government agencies. Moreover, Blazegraph powers the Wikidata Query Service for the Wikimedia Foundation. Users have the option to download it as an executable jar, a war file, or a tar.gz distribution. Designed with user-friendliness in mind, Blazegraph allows for a quick start, although it comes with SSL and authentication turned off by default. For those deploying in a production environment, it is highly advisable to activate SSL, establish authentication, and implement suitable network configurations to ensure security. Below, you will find valuable resources to assist you in making these configurations effectively. Furthermore, the documentation provides a comprehensive guide for new users to navigate setup and support effectively.

BioVinci streamlines the process of applying advanced visualization techniques to your high-dimensional data by automatically executing cutting-edge methods and suggesting the most effective one. Users can delve into high-dimensional datasets utilizing various machine learning approaches, including dimensionality reduction and feature selection. Transform extensive datasets into informative graphics effortlessly, without the need for coding skills. The platform provides a variety of graph types and customization options to effectively showcase research findings. It empowers scientists with little to no programming background to efficiently apply top-tier machine learning strategies to their data and produce elegant visualizations that uncover valuable insights that might otherwise remain hidden. We particularly emphasize the user-friendly design of BioVinci 2.0, ensuring that even those encountering it for the first time can navigate it with ease. With an extensive array of plot configurations tailored to meet diverse user requirements, our goal is to deliver visuals that are not only aesthetically pleasing and simple but also interactive, publication-ready, and rich in information. Additionally, we believe that enhancing the usability of our software will foster greater engagement and facilitate deeper understanding among researchers.

Visuant, a business performance software, collects all your data in one place. It includes balanced scorecards and charts and graphs, real time dashboards, and corrective actions for underperforming metrics. To hold your team accountable, eliminate multiple spreadsheets and create one source of truth. Request a personal, 20-minute demo of Visuant Business Manager Software at a time that suits you. Visuant business software increases engagement, accountability, performance-driven decision-making, and improves engagement.

JavaScript Charting Library with 10x faster performance and a simple API. Our JS Charts can be easily integrated with popular Frameworks such as Vue, Angular, and React. The library includes 30+ chart types, including line, column and bar, area, pie and doughnut, stacked, and others. Graphs can be easily integrated with many server-side technologies such as PHP, Ruby, Python and ASP.Net. It can render thousands of data points with no performance lag. CanvasJS supports 30 types of Charts and renders across all devices, including iPhone, iPad Android, Mac, Mac, and PCs. This allows you create rich dashboards that can be used across multiple devices without compromising the functionality or maintainability of your web app.

Experience the power of advanced computing right at your fingertips. With the capabilities of parallel computing and innovative algorithms, there's no reason to hesitate any longer. Created specifically for data scientists in the business realm, this all-inclusive time-series platform delivers the fastest computing available. Shapelets offers a suite of analytical tools, including causality analysis, discord detection, motif discovery, forecasting, and clustering, among others. You can also run, expand, and incorporate your own algorithms into the Shapelets platform, maximizing the potential of Big Data analysis. Seamlessly integrating with various data collection and storage systems, Shapelets ensures compatibility with MS Office and other visualization tools, making it easy to share insights without requiring extensive technical knowledge. Our user interface collaborates with the server to provide interactive visualizations, allowing you to fully leverage your metadata and display it through a variety of modern graphical representations. Additionally, Shapelets equips professionals in the oil, gas, and energy sectors to conduct real-time analyses of their operational data, enhancing decision-making and operational efficiency. By utilizing Shapelets, you can transform complex data into actionable insights.

Arria NLG Studio is an innovative AI solution crafted by Arria NLG, designed to cater to both large enterprises and small to medium-sized businesses. This powerful platform enables organizations to mimic the human ability to analyze and articulate data insights in a manner that is easily comprehensible. The software is adept at producing insights in various forms, such as financial analysis, trend identification, problem-solving, and forecasting future events. Leveraging Arria's proprietary natural language generation technology, the company has developed several SaaS solutions that deliver industry-specific reports filled with pertinent information in mere seconds. This represents a significant advancement in the realm of business intelligence and data reporting. Additionally, Arria NLG Studio provides API accessibility, ensuring seamless integration with a wide range of software platforms, making it a versatile tool for any organization looking to enhance its data communication capabilities.

StatPlanet Cloud is the next generation of our award-winning StatPlanet visualization/mapping software. It gives you unprecedented insight into your data. StatPlanet Cloud is cross-platform (HTML5/JavaScript-based). It can be accessed via a web browser from any device, including a tablet, a Mac, a mobile phone, or a PC. StatPlanet Cloud can quickly transform a spreadsheet into an interactive dashboard. The intuitive interface allows even novice users to instantly explore interactive graphs and maps and filter down to specific indicators and areas of interest. It also comes with an Excel-based, open-source Data Manager. This can be used to import and consolidate a wide variety of data in over 60 countries. It is simple to create your first dashboard. If your data is in spreadsheet format it can be automatically imported into StatPlanet and visualized. StatPlanet supports SDMX, an international standard for data interchange.

InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. This can allow InfiniteGraph to perform like an in-memory graph database. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other graph databases.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.