Products within the Data Asset Ecosystem
How do you make the best technology investment decision? What is going to give you the best bang for your buck and add value to your largest asset: your Data? Which Products improve data asset value? The Business Intelligence, Analytics and Data Management industry is saturated with stove-piped point products. Suppliers are competing on features that often overlap. Crunch Data has selected the best Products for each domain of the Data Asset Ecosystem (Move, Integrate, Store, Govern, Analyze, Visualize, AI, Secure). We've categorized our product vendors to help our clients better match the product with the needed capability instead of buying service-specific tools.
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial and scientific domains. Crunch Data supports best-in-class Data and Application Integration tools to help you move and work with your most valuable asset.
C-Connect is data integration middle ware that facilitates the access, retrieval and consumption of cloud data assets for various workflows including: data warehouse automation; data virtualization; analytics and visualization.
The technology currently supports more than fifty (50) application programming interfaces (APIs) from popular services such as: Google, Netsuite, Jira, Quickbooks, Microsoft Dynamix and others.
C-Connect facilitates end to end data integration and data presentation processes for Qlik, a leading analytics and data visualization software provider. Qlik customers use C-Connect to consume cloud based data in purpose-built data analytics application templates.
To learn more on C-connect check the following links :
Dell Boomi provides EiPaaS capabilities for application and data integration as part of its AtomSphere unified PaaS platform. Adding more than 1,500 clients in 2017, Dell Boomi's total installed base now amounts to more than 7,000 global, large or midsize organizations worldwide. AtomSphere also provides API design and management, master data hub, B2B management, workflow automation and app development. AtomSphere is a well-proven, powerful and versatile platform that its reference customers use to support complex cloud-to-cloud-to-on-premises, mobile app, B2B and IoT integration requirements, as well as API publishing.
AtomSphere is available in several editions, differentiated by target market, use case, breadth of functionality and number of connected endpoints. It also targets the B2B integration market via a dedicated AtomSphere edition and an associated managed service
To learn more on Dell Boomi check the following links :
Does your data strategy currently include algorithms and Data Science? Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. To make the best use of Analytics, you must apply data analysis people, processes and technology to an analytical outcome. Our supplier products for analytics serve specific and purposeful functions so that you can best match your needed capability with the right solution.
A leader in the self-service data analytics movement with a platform that can prep, blend, and analyze all data, then deploy and share analytics at scale for deeper insights in hours. The end-to-end platform provided by Alteryx unifies the analytic experience, enabling organizations to break data barriers. The company's origins in location and geoanalytics have proved to be a differentiator, along with its advanced analytic capabilities.
Alteryx is widely used in combination with other modern BI and analytic products (particularly Tableau), but also as an end-to-end analytic application as well as formatted, scheduled reports. With the Alteryx Server, data modelers can create interactive, parameterized dashboards published on-premises or in the cloud via the Analytics Gallery. Alteryx remained as a Visionary in Gartner Magic Quadrant 2016 and as a top Nice player in 2017; it has a strong presence with retail, services, communications and financial services customers.
To learn more on Alteryx check the following links :
DataRobot provides a predictive analytics platform to rapidly build and deploy predictive models the cloud or an enterprise. It allows data scientists to deploy their models with ease and speed. Its machine-learning platform has been designed utilizing automated procedures for data preparation, feature engineering, model selection and deployment automation, with the objective of simplifying and accelerating the generation of insights through advanced analytics. DataRobot seeks to address the cross-industry shortage of data scientists by enabling data scientists to accomplish more in less time. DataRobot's automated model building presents users with a leaderboard of best-fit models pulled from multiple sources such as R, Python, H2O and Spark.
To learn more on DataRobot check the following links :
Qlik is positioned in the Leaders quadrant in the Business Intelligence and analytics platform market, driven by progress on its roadmap for augmented analytics, improvements in marketing strategy, and ease of use. Its portfolio is comprised of three core solutions—all powered by its own patented engine technology. Qlik Sense® is its next-generation visual analytics platform, QlikView® its proven guided analytics and dashboarding solution, and Qlik® Cloud is its growing portfolio of SaaS apps. Qlik offers governed data discovery and agile analytics and BI via its lead product Qlik Sense. The Qlik Analytics Platform supports developers in creating customized applications and for the embedded use case. The scalable in-memory engine allows customers to build robust, interactive, visual applications. Some customers opt to use the engine as a data mart, in lieu of traditional data warehousing. Qlik NPrinting is an optional server component that supports Mode 1 BI with report distribution and scheduling.
To learn more on Qlik and its products check the following links :
Tableau offers an intuitive interactive visual-based exploration experience that allows business users and any content author to access, prepare, analyze and present findings in their data without technical skills or coding. Tableau offers three primary products: Tableau Desktop, Tableau Server and Tableau Online (its cloud offering). Tableau has always been committed to giving everyone across the enterprise the power to explore and find insights in data. It has disrupted the market with this approach, and through its land-and-expand sales model — which has become an expected feature of all modern analytics and BI platforms. Tableau's core product strengths continue to be its intuitive interactive visualization and exploration, and analytic dashboarding capabilities, for almost any data source — leveraging its extensive set of data connectors, with both in-memory and direct query access for larger datasets.
To learn more on Tableau check the following links :
Microsoft Power BI offers data preparation, data discovery, interactive dashboards and augmented analytics via a single product. It is available as a SaaS option running in the Azure cloud or, new in 2017, as the on-premises option Power BI Report Server. Power BI Report Server allows users to share reports (but not dashboards) and lacks some of the machine-learning capabilities found in Power BI SaaS. Microsoft Quick Insights (a feature within Power BI) is a basic form of augmented data discovery, initially available in the cloud service. The conversational chatbots with Microsoft Cortana also are differentiators, and Microsoft Surface Hub is touch-enabled and supports the display of Power BI content on wall-size displays in executive board rooms. The ability to provide a closed-loop process from insight to action is supported by the integration of Power BI with Microsoft Flow and within its business application, Microsoft Dynamics 365. Virtual reality and Power BI integration with Holo Lens are currently works in progress.
To learn more about PowerBI ,check the following links :
The Allgress Insight Risk Management Suite is an integrated platform which utilizes advanced visualization, automation, streamlined workflows, and the integration of existing data feeds, to reduce the complexity and cost of risk management. Allgress’ Modular approach allows you to utilize the same easy-to-use workflow throughout the application to receive a holistic, meaningful overview of your entire environment.
To learn more about Allgress, check the link below
Companies are spending millions on analytics software but the tools are still not being broadly adopted. Bots are difficult to configure on analytics applications or databases. Getting answers quickly isn’t easy. No matter how much effort is spent building apps, executives don’t want to pull information, they want it pushed to them. People sometimes don’t know how to use a dataviz app. AI can help users to conveniently interact with BI tools via text and chat. AI extracts insights and establishes an analytical narrative users can interact with via Slack, Skype, iMessage and Salesforce Chat. Quickly cull massive amounts of information across multiple analytics apps and render insights when asked. No need to wait for a query or a report request. Ask and answer, instantly. Bots don’t sleep. Always on. The ultimate UX.
CrunchBot is a product designed by Crunch Data to help customers get more value from their data visualization software investments. Crunchbot, also known as AIDA (Artificially Intelligent Data Analyst), quickly culls massive amounts of information across multiple business analytics systems to render natural language insights on command. It interprets information into questions business users may use to ask and get answers to critical business questions via a chat experience. AIDA leverages best of breed AI platforms combined with proprietary natural language generation technology and machine learning to accelerate how bots are implemented for use with business intelligence and data visualization software.
To learn more about CrunchBot , check the link below
TimeXtender is one of the leading software vendor for metadata driven and agile ETL and Data Warehousing software. By combining this agile platform with your choice of visualization tools, you have the full power of business intelligence in a structured, governed and secure environment – all within a self-service analytics framework that helps meet compliance needs. With its Discovery Hub®, users get actionable insights, simplify their compliance journey and make better decisions in less time. It easily merge data from a wide variety of data sources and use agile data modeling to effortlessly build a modern data warehouse and semantic model. TimeXtender serves its customers, including Fortune 500, large-sized enterprises and mid-sized companies, through a global network of partners.
To learn more about TimeXtender , check the following links :
Snowflake offers a fully managed data warehouse as a service on AWS infrastructure. It supports ACID-compliant relational processing, as well as native support for document store formats such as JSON, Avro and XML. A native Apache Spark connector, R integration, support for user-defined functions, dynamic elasticity, temporal support and recently announced data-sharing capabilities round out the core offering.
To learn more about Snowflake and its offerings , check below :
Amazon Redshift was introduced in November 2012. Redshift is a massively parallel processing (MPP) columnar database for data warehousing workloads. Clients can choose to use hard disks or SSDs for storage, based on their capacity and performance requirements.
Redshift uses SQL as an interface and allows for the creation of user-defined functions. Queries submitted to Redshift are compiled down to C++ code, and reused from a query cache if they are present. Clients can run 500 concurrent user connections against a single Redshift cluster. Many common analytics and BI tools can be used with Redshift.Redshift maintains two copies of data in storage, and continually copies data asynchronously to Amazon S3. The replica provides availability if one copy of the data is not available.
AWS has added Redshift Spectrum to the offering as a feature. With Spectrum, consumers can run queries directly on datasets in Amazon S3 on its own, or run queries that join together data in S3 with data already in Redshift data warehouse. Spectrum is a serverless offering, for which clients pay based on the number of bytes scanned for a query. Spectrum also allows users to scale compute and storage resources independently through the use of S3.
To learn more about Amazon Redshift , check the following links :
Microsoft Azure offers Hyper-V-virtualized multitenant compute (Virtual Machines), with multitenant storage, along with many additional IaaS and PaaS capabilities, including object storage (Blob Storage), a CDN, a Docker-based container service (Azure Container Service), a batch computing service (Azure Batch) and event-driven "serverless computing" (Azure Functions). The Azure Marketplace offers third-party software and services. Enterprise-grade support is extra. It has a multi-fault-domain SLA. Colocation needs are met via partner exchanges (Azure ExpressRoute). Microsoft Azure is second in market share, not only in IaaS, but also in integrated IaaS+PaaS. It has sustained a very high growth rate over multiple years. Microsoft is now launching innovative Azure capabilities of its own, rather than primarily copying competitor capabilities. Microsoft is frequently chosen as a strategic cloud provider by customers that are committed to Microsoft technologies or that like Microsoft's overall cloud strategy, which spans IaaS, PaaS, SaaS and on-premises solutions.
To learn more about Microsoft Azure , check the links below :
Crunch Data, Data Driven Solutions
Sign Up for Crunch Data Announcements, Product Releases, Best Practice Whitepapers, and News.