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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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.
Enjoy the benefits of advanced analytics without the complexity. Discover relationships. Test correlations. Develop outlooks that can guide you to your next great achievement. Search for insights in your own voice and instantly get answers. Smart data discovery, automated predictive analytics and cognitive capabilities enable you to interact with data conversationally. So if you need to quickly spot a trend or your team wants to view insights in a dashboard, Watson Analytics has you covered.
Dataiku develops the unique data science software platform that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, customers such as GE, AXA, L’Oreal, NPR, Kuka, Webbmason, Hostel World, and many more easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows.
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.
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.
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.
ATSD is a distributed NoSQL database designed from the ground up to store and analyze time-series data at scale. Unlike most other databases, ATSD comes with a robust set of built-in features including Rule Engine, Visualization, Data Forecasting, Data Mining and more.
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.
Civis Platform is the foundation and structure for a living data science system your business can use to make informed decisions with confidence. Built with both decision-makers and data scientists in mind, the cloud-based Civis Platform—with Civis’s highly predictive dataset built in—helps your team be more effective so they can get results, faster. Key features - Data: Civis Platform comes with an exclusive database with billions of data points, giving you the power to understand your consumers and quickly deliver results. Science: Data scientists can work with their favorite tools at scale using the Civis Data Science API to automatically pull up-to-date data and conduct real-time analysis. Production: Civis Platform enables data scientists to automate and scale their workflows so they can efficiently uncover and share insights with decision makers. Security: Civis Platform is HIPAA compliant and SOC2 Type II–certified. It meets the most rigorous enterprise security requirements for any organization. Collaboration: Data scientists can work in tandem using their favorite languages and create interactive, dynamic applications to share with business teams in their organization Interested in learning more? Drop us a line at civisanalytics.com/contact
The DarkMatter Big Data & Analytics team offers an all-source big data platform with advanced analytic, machine learning capabilities, natural language processing and image recognition. We provide comprehensive and customisable technology solutions for collecting, processing, managing, analysing and visualising data to draw deep, impactful insights that deliver actionable intelligence and operational advantage.
dataWerks provides data integration software that delivers genuine user empowerment by giving business users the ability to access and mashup multiple data sources in real time. dataWerks virtualizes your data so that it can be accessed by your preferred off-the-shelf BI tool using ODBC/JDBC connectivity. No retraining of users is necessary because they can continue to use familiar BI applications. Bottom line: deploying dataWerks enables business users to ‘plug and play’ with massive data sets and with minimal disruption to existing processes. Big data integration is possible today!
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.
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.
Everyone is talking about data and getting more out of it. Even knowing what to do with all that data, the barrier of waiting long hours, days, weeks or even months to get back the output results is daunting! Now, what if you want to quickly try a few new ideas for slicing and dicing the data? The vicious query request and results/reporting circle is ultimately too slow and unproductive. Well, every once in a while something revolutionary comes along that truly changes things. Information Center from Ke Labs empowers domain experts to easily do more hands-on work with all of their data. Go beyond query. Go beyond coding. All on their own, administrators, healthcare staff and researchers can quickly dive deeper and more often into the untapped potential of data. In the process, IT will be freed-up to focus on managing the vast, growing databases and mounting data security threats. Basically, everyone will be able to do more with more! This truly drives results. Information Center is a next generation solution for informatics, analytics and reporting in healthcare, research and all organizations with large, complex data challenges. This solution platform is a fully integrated set of self-service tools to extract, merge, query, analyze and report data from an unlimited number of databases. It offers new and unprecedented capabilities to understand and act upon information stored in your EMR, PACS and other systems. The toolset is unique in its ability to address complexity and to save, customize and share queries, interactive reports and other outputs so that anyone and everyone can avoid repeating the same work.
Intergraph Smart Laser Data Manager provides a full office workflow to import, register, validate, manage, and render point clouds when working with CloudWorx for Intergraph Smart 3D.
Jethro makes interactive Business Intelligence work on Big Data. (Hadoop). Jethro enables Business Intelligence users to analyze and visualize Big Data in real-time and its SQL Acceleration Engine seamlessly integrates with BI tools like Tableau or Qlik.
Kognitio is a mature SQL engine for your Hadoop cluster or your data warehouse. It allows businesses to gain ROI from big data projects by providing interactive BI on big data for business users who can continue to use their preferred BI tools, like Tableau or Power BI. Kognitio is completely free to use on Hadoop with no limitations on time, scale or functionality. It runs as a YARN application directly on the Hadoop cluster. Kognitio offers a range of paid support options for clients using Kognitio in a production environment. Kognitio is also available to use on standalone compute clusters.
Loginworks Datastream provides a constant, reliable data flow. Datastream is used for: data analysis, data mining, and collecting/understanding big data. Datastream helps companies better understand their market and provides valuable insights to help increase sales.
Omniata unifies data sources by integrating databases, in-app event streams and data from ad networks in one place. It provides powerful self-serve analytics, data visualization tools, and it can automatically deliver dynamic personalized content across mobile, web, push notifications and email, using advanced real-time segmentation and A/B testing.
Omniscope is a scalable streaming data blending, transformation/preparation tool, with R-based high-performance analytics and interactive visual discovery and reporting. User-friendly drag&drop interface in both data transformation and visualisation space enable the users to create dashboards within minutes and automate complete reporting process. Runs on Windows, Mac or Linux and browser-enabled mobile devices.
Accelerite Share Insights is an end- to- end big data analytics platform that unifies different analytics operations like data processing, storage and visualization, It offer unique advantages like analytics development, managed life-cycle of analytics and future proofing.
Signals Analytics is an Insights as a Service (IaaS) company that offers solution such as the Signals Playbook, a cloud-based augmented intelligence platform designed to transform diverse, unstructured and unconnected data into actionable insights that maximize product portfolio health, accelerate new product development and propel breakthrough innovation.
The Tactical Framework for Analytics Delivery and Management provides a big picture vision of analytics production while providing tactics, processes, and technologies leveraged by individual data scientists, data engineers, consultants, and business analysts.
With Tonomi, your applications will configure themselves according to with high-level policies defined by administrators. When a new application is launched, it will bootstrap itself, integrate into the system, and the system will adapt to its presence.