Big data analytics software provides insights into large data sets that are collected from big data clusters. These tools help business users digest data trends, patterns, and anomalies, and prepare the information into understandable data visualizations. Because of the unstructured nature of big data clusters, these analytics solutions require a query language to pull the data out of the file system. Most commercial table databases allow SQL queries. However, big data analytics tools do not necessarily offer such SQL language capabilities and may require a more intricate knowledge of querying from a data scientist. As an alternative, some solutions may offer self-service features so that the average employee can assemble their own charts and graphs from big data sets.
Other big data analytics solutions may offer artificial intelligence features, such as natural language processing, as an interface capability to further aid non-technical users. Big data analytics software is commonly used at companies running Hadoop file system in conjunction with big data processing and distribution systems to collect and store data. These products are similar to business intelligence platforms in the sense that they allow users to manipulate complex data into understandable visualizations; however, these tools are primarily connected to big data clusters.
To qualify for inclusion in the Big Data Analytics category, a product must:
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Get your data ready and start your journey to AI. Organizations that ignore AI will soon be left behind by more agile competitors. IBM Cloud Private for Data accelerates your journey to AI by bringing a powerhouse of IBM technology to seamlessly collect, organize, secure, and analyze data from across your enterprise. Rapidly provision data scientists, data engineers and developers of data-driven apps so they can work faster than ever with role-specific interfaces. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution. No assembly required.
Qubole is revolutionizing the way companies activate their data--the process of putting data into active use across their organizations. With Qubole's cloud-native Data Platform for analytics and machine learning, companies exponentially activate petabytes of data faster, for everyone and any use case, while continuously lowering costs. Qubole overcomes the challenges of expanding users, use cases, and variety and volume of data while constrained by limited budgets and a global shortage of big data skills. Qubole's intelligent automation and self-service supercharge productivity, while workload-aware auto-scaling and real-time spot buying drive down compute costs dramatically. Qubole offers the only platform that delivers freedom of choice, eliminating legacy lock in--use any engine, any tool, and any cloud to match your company's needs.
The MicroStrategy platform offers a complete set of business intelligence and analytics capabilities that enable organizations of any size or maturity to get value from their business data. Organizations use MicroStrategy to build and deploy analytical and data discovery applications in the form of personalized reports, real-time dashboards, pixel-perfect documents, mobile applications, and more. These applications can be accessed and shared across Web, Desktop, and Mobile interfaces. Product Highlights: - Visualizations, charts, and graphs for data discovery: MicroStrategy comes with a large, flexible, and easily extensible library of interactive graphs, advanced visualizations, and maps that make it easy to understand and interpret information. - Pixel-perfect reports and dashboards: With MicroStrategy organizations can create personalized dashboards and reports for every employee and deploy them via web, desktop, tablet, or smartphone. MicroStrategy offers real-time analytics, custom branding, automated distribution and delivery, and enables companies to embed dashboards into custom portals or other business applications. - Heterogenous data access: MicroStrategy offers native connectors and drivers to hundreds of data sources that include personal spreadsheets, relational databases, cloud applications like Salesforce, MDX sources, and many more. Users can easily blend and consume data from across any of these sources without enlisting the help of IT. - Data preparation: Our native data wrangling feature empowers business users to reformat and modify their data with an extensive set of parsing and data preparation capabilities. - Predictive analytics and R models: MicroStrategy provides an extensive library of native analytical functions and scoring algorithms, alongside the ability to integrate with 3rd-party and open-source statistical and data mining products like R, SPSS, and SAS. - Mobile analytics: MicroStrategy lets you instantly deploy BI to any mobile device. Mobilize your workforce with transaction enabled apps, offline access, and customizable workflows that can be built into mobile productivity apps for iOS and Android. The MicroStrategy platform is made up of five component products: - Desktop: A free, single-user data discovery tool that lets users quickly connect to, explore, and visualize data on either Mac or PC. - Web: A highly interactive, browser-based interface that allows business users to design, consume, and analyze reports and dashboards. - Mobile: A native app for iOS and Android that allows users to access analytics and mobile BI apps from any mobile device. - Architect: A set of development and migration tools that allow IT to architect data models, automate processes, and manage MicroStrategy applications. - Server: A fully-featured server infrastructure designed to support all styles of analytics, scale to hundreds of thousands of users, and offer sub-second performance.
Splunk Light was designed for small IT environments as a real-time log search and analysis solution to quickly put out—and even prevent—IT fires. Built on proven Splunk technology, Splunk Light provides an integrated solution for server and network monitoring that gathers all of your log data (e.g., IIS logs, syslogs, event logs, web logs and network logs) from different and distributed systems in real time, puts it in one place and provides dynamic alerts, reports and dashboards. With the powerful Splunk Search Processing Language (SPL™), Splunk Light enables real-time machine data analysis and issue resolution, and doesn’t require a data scientist with special skills. Now you can proactively analyze problems and take immediate action—all without having to manually gather, organize and sift through gigabytes of data. Splunk Light is available as software or a cloud service. Take a test drive and try Splunk Light for free. You can download Splunk Light at http://splk.it/s48 or sign up for a free 15 day cloud service trial at http://splunk.force.com/SplunkCloud?prdType=SplunkLightCloud.
Cloudera, based in Palo Alto, California, U.S, offers Cloudera Enterprise, a platform that includes Cloudera Analytic DB (for BI & SQL workloads based on Apache Impala), Cloudera Data Science & Engineering (for data processing and machine learning based on Apache Spark and Cloudera Data Science Workbench), and Cloudera Operational DB (for real-time data serving based on Apache HBase and Apache Kudu). Through their SDX (shared data experience) technologies, the platform provides unified security, governance, and metadata management across these workloads as well as across deployment environments. Cloudera’s platform is available on-premises; across the major cloud environments (including native object store support for S3 and ADLS); and as a managed service under the Cloudera Altus brand.
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insights. Its flagship product, Arcadia Enterprise, was built from inception to run natively within big data platforms, in the cloud and/or on-premises, to streamline the self-service analytics process on data in Apache Hadoop, Apache Spark, Apache Kafka, and Apache Solr.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions. R Server works with the open-source R language, so all of your R scripts run without changes.
Accelerate ROI from your data science initiatives with a collaborative analytic workflow builder that lets you transform data into insight within Hadoop and other big data environments. Unlock your data's hidden potential and increase the value of your big data infrastructure.
Zoomdata is reinventing business intelligence (BI) from the ground up. The company’s high-performance BI engine and visual analytics allow users to discover new opportunities and solve problems that are too big or too hard to solve using conventional BI tools. Zoomdata’s interactive dashboards, native modern data connectors, scalable microservices architecture, and innovations such as Data Sharpening™ make it the ideal front-end for big data, live streaming data, and multi-source analysis. Launched in 2014, Zoomdata holds multiple patents related to streaming data delivery and interactivity.
Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers across retail, e-commerce, health care, finance, transportation, the public sector, manufacturing, pharmaceuticals, and more use Dataiku to power self-service analytics while also ensuring the operationalization of machine learning models in production. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
EXASOL is a high-performance, in-memory, MPP database specifically designed for in-memory analytics. From business-critical data applications to advanced analytics, the database helps you to analyze large volumes of data in real-time, helping you to accelerate your BI and reporting, and to turn data into value.
The Syncfusion Big Data Platform is the first and the only complete Hadoop distribution designed for Windows. Its users can develop on Windows using familiar tools, and deploy on Windows. Syncfusion has taken the advantages of the Hadoop environment – from easy querying across structured and unstructured data to cost-effective storage of any amount of data using commodity hardware with linear scalability- and made them available on Windows. With extremely minimal prerequisites and no manual configuration, the platform provides an easy-to-use environment for working with popular big data tools such as Pig and Hive. The industry-tested Syncfusion Big Data Platform gives users complete access to the power of the Hadoop environment - and the backing of an experienced team providing the samples and support that will get them up and running quickly.
Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for better decisioning, targeting, and personalization. Aspects of Civis Customer Science include six “families”: Civis Platform: A workbench that enables data scientists and highly technical analysts to use their favorite tools to import and export data, conduct real-time analysis, and automate and scale their workflows so they can efficiently uncover and share insights with decision makers. Identity Resolution & Data Enrichment: Unifies disparate data sets to create a single view of consumers with first-party data, Civis’s proprietary data assets and a probabilistic person-matching algorithm. Research & Social Science: Survey science and creative testing to build better understanding of opinion using the Civis survey infrastructure and weighting methodology to remove bias from surveys. Predictive Modeling: Build and activate individual-level models that predict acquisition targets, lifetime value, likelihood to churn, persuadability, outcome-based segments, and media ingestion to effectively engage each consumer. Attribution & Optimization: Measurement of advertising performance across and within channels to optimize spend. Utilize algorithmic attribution attribution methodology to understand and optimize marketing ROI with a world-class causal inference model.
DNIF is a Big Data Analytics platform which specialises in solving cyber security challenges with real time data analytics. DNIF has all the functionalities of a SIEM solution and can perform as a Threat Hunting and Anomaly Detection tool. It can fire up profiler in seconds, which is unique to this industry. It not only identifies anomalies based on what you know, but also runs profilers on any parameter, factual or functional. DNIF is quick and agile, it is therefore able to build a knowledge profile of what you know and identify situation that you have never seen before. It can update primary models as required. You can also make your models learn on the go using incremental updates. Another unique feature DNIF is widely known for is it ability to execute long duration queries over past data. This helps you to quickly learn and profile user / entity / parameter behavior.
Hortonworks DataFlow (HDF) provides the only end-to-end platform that collects, curates, analyzes and acts on data in real-time, on-premises or in the cloud, with a drag-and-drop visual interface. HDF is an integrated solution with Apache Nifi/MiNifi, Apache Kafka, Apache Storm and Druid.
OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan enables machine-assisted decision making, automation, and business optimization.
Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform. Analance is a robust, salable end-to-end platform that combines Data Science, Advanced Analytics, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. THE ANALANCE PLATFORM: • Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform. • Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. • Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes. • Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality. Product Capabilities • Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis. • Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models. • Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations. • Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization. • Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics. Key Features: • Get a demo of Analance or take it for a 30-day test drive. • Seamless Data Integration • Data Cleaning and Transformation • Predictive Analytics and Trends • Real-time Analytics • Prescriptive Analytics • Text and Sentiment Analytics • Social Analytics • Business Intelligence and Reporting • Interactive Visualization • Self-Serve Capability • Sign-Sign On to Access All Platforms within Analance
Analyze huge volumes of high-speed data at real-time to produce significant correlations and patterns using the Cortana Intelligence Suite. Discover maximum value from all of your unstructured, semi-structured and structured data using Azure Data Lake, Stream Analytics, HDInsight & ML Studio.
Bizintel360 is a self-service big data analytics solution, that enables companies to gain actionable insight from a large volume of diverse data, with extreme velocity. Its powerful search engine capability enables business users to ask question within the system with various keywords to get real insight from varied data source and make relationship between islands of data sources. Our cloud based solution requires no ETL tools, no IT resources and no data warehouse. Bizintel360 helps business users to connect data of various sources and expose critical trends, metrics, and insights in the form of charts and graphs that enable business users at all levels to make key business decisions from operational level to strategic level.