Compare the best Big Data software currently available using the table below.
Access, blend and analyze all types and sizes of data, empower users to visualize data across multiple dimensions with minimal IT support, and embed analytics into existing applications.
MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use.
Sadas Engine is the fastest Columnar Database Management System both in Cloud and On Premise. Sadas Engine is the specific solution designed to: • Store • Manage • Analyze huge quantities of data in order to implement solutions for: • BI • DWH • Data Analytics Turn Data into Information with the fastest columnar Database Management System able to perform 100 times faster than transactional DBMSs and able to carry out searches on huge quantities of data over a period even longer than 10 years.
List & Label is the reporting tool of choice used by thousands of software development teams all over the world. The report designer (Windows/Web) gives your users a wide range of capabilities. And you can add these powerful report functions very easily to your application with no additional costs.
97% of visitors on your website don’t leave any contact details. With Visiblee you will boost your website lead generation, with contacts that already know you and are interested in what you offer. Don’t miss business opportunities! Get an alert every morning with the hottest leads and check out their browsing behavior. Visiblee is a unique SaaS Solution for lead generation.
AnswerMiner is a new data exploration and visualisation tool that puts the tone on usability and simplicity instead of hard programming and requiring extra-knowledge to use it. The user-friendly interface helps to get familiar with the app quickly and makes the use of the features understandable. AnswerMiner is a cloud-based application that is available from anywhere at any time to find relations and meaningful insights in the data, even if the users are not data scientists, programmers, or statisticians. We believe that everybody can be a data analyst, they just need the right tool to get the most out of their data. Features: *Smart Data View *Automatic Charts *Correlation Matrix and Table *Relation Map *Prediction Tree *Report (Canvas) *Connectors: Mailchimp, Analytics, URL, MySQL, Google Drive, FTP, and more.
Founded in 2019, AnswerDock is a software organization based in United Arab Emirates that offers a piece of software called AnswerDock. AnswerDock offers business hours support. AnswerDock features training via documentation. The AnswerDock software suite is SaaS software. AnswerDock is business intelligence software, and includes features such as collaboration, data blends, data mining, data visualization, and high volume processing. Software pricing starts at $495.00/month. AnswerDock offers a free version, and free trial. Some competitor software products to AnswerDock include Analance, OpenText Analytics Suite, and DataHero.
K2View Fabric delivers 360-degree access to the data your business cares about most. With our patented micro-database technology, K2View Fabric marks a generational shift from traditional approaches to big data organization and management. It allows you to operationalize enterprise data in real time, delivering exactly the data you want, when and how you need it. K2View Fabric easily connects to virtually any data source, organizes the data around what matters most to your business (such as customers, stores, transactions or products), stores it in secure micro-databases, and exposes it in real-time to any device, application or service while keeping it continuously refreshed.
Salesforce Analytics Cloud
Unlock critical sales and service insights with Salesforce Einstein Analytics, a feature-rich data visualization and self-service Business Intelligence (BI) software. Formerly known as Salesforce Analytics Cloud, Einstein Analytics is an end-to-end solution that taps the power of Artificial Intelligence (AI) to help business users analyze billions of data combinations across sales, service, marketing, and more. This enables businesses to make smarter decisions fast.
9 Spokes is a powerful data dashboard that gives small businesses greater visibility into thir operations, making smarter decision making possible. A free, robust solution, 9 Spokes connects with leading business apps to deliver the important metrics users need on their smart dashboard. From managing cash flow and people, to tracking digital campaigns, 9 Spokes shows businesses the big picture so they can make the right calls.
See inside any stack, any app, at any scale, anywhere with Datadog, a modern monitoring and analytics solution for modern teams with hybrid cloud environments. Datadog gives teams end-to-end visibility across systems, apps, and services, improving agility and increasing efficiency. Datadog makes this possible by seamlessly aggregating metrics and events across the full Devops stack. Start monitoring with Datadog effortlessly in minutes.
Culmen Internal LLC
Centrifuge Analytics™ is a big data discovery technology that provides the power and flexibility to connect, visualize and collaborate without complex data integration, costly services or a data science degree. It combines sophisticated link-analysis, interactive visualizations and discovery features to dramatically simplify data pattern and connection recognition. - First and foremost, a fully integrated solution that empowers analysts to work with no IT support - Sophisticated link-analysis features such as pattern Identification, intelligent bundling and various unique visual interactive features - 100% Browser footprint ensures no client-side data retention that simplifies security and client administration Patent-pending server-side rendering engine enables highly scalable network graphs Agile data integration – No need to stage, warehouse or apply a fixed ontology Model-based analytics – Setup once and reuse – build upon the experience of more seasoned analysts
Marketers, product managers, and business analysts use Indicative to optimize customer conversion, engagement, and retention. Indicative connects to all your customer data sources, synthesizes them into a complete view of behavior, and gives you the actionable insights you need to grow your customer base and build great products. Indicative's free plan offers up to 1 Billion user actions per month and complete access to the robust behavioral analytics platform!
Instaclustr is the Open Source-as-a-Service company, delivering reliability at scale. We operate an automated, proven, and trusted managed environment, providing database, analytics, search, and messaging. We enable companies to focus internal development and operational resources on building cutting edge customer-facing applications. Instaclustr works with cloud providers including AWS, Heroku, Azure, IBM Cloud, and Google Cloud Platform. The company has SOC 2 certification and provides 24/7 customer support.
Timeline Process Intelligence combines intelligent process mining with monitoring, alerting, and AI powered predictive and prescriptive analytics to deliver a comprehensive solution for understanding and sustaining process performance. Its patent-pending Timeline Analysis™ automatically creates an interactive process model that enables users to discover, analyze and monitor in real time exactly how their processes work. Blue Prism users can easily visualize and understand how operational processes are executed end-to-end, in all their variations — even when the performance of a process step is executed across multiple, non-integrated systems.
View all business data in a single workspace with A7 IoB, an intuitive digital dashboard. A7 IoB allows users to control their biggest asset: business data. This enables them to make smarter data-driven decisions. A7 IoB enables users to connect with business applications and spreadsheets, create or select KPIs, and visualize data.
Etleap was built from the ground up on AWS to support Redshift and snowflake data warehouses and S3/Glue data lakes. Their solution simplifies and automates ETL by offering fully-managed ETL-as-a-service. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code. Etleap monitors and maintains data pipelines for availability and completeness, eliminating the need for constant maintenance, and centralizes data from 50+ disparate sources and silos into your data warehouse or data lake.
Liaison Technologies' ALLOY Platform is a secure and scalable Data Platform as a Service (DPaaS). ALLOY is designed to address the enterprise application integration and data management challenges today's modern enterprises face. The platform provides unified integration and data management capabilities as managed services; connects any two application end points; provides built-in security and compliance; offers an efficient alternative to DIY integration models; and persists data in a big data repository.
Prepare, analyze, and explore data from multiple sources with Sisense, a leading Business Intelligence (BI) reporting software. Trusted by industry-leading companies, such as NASDAQ, Phillips, and Airbus, Sisense offers an end-to-end, agile BI platform that helps business make smarter, faster data-driven decisions. Sisense features an open, single-stack architecture, best-in-class analytics engine, machine learning, and delivery of insights beyond the dashboard.
NaturalText A.I. helps you get more out of your data. Discover relationships, create collections, and unveil hidden insights in documents and other text-based data. NaturalText A.I. uses novel artificial intelligence technology to uncover hidden relationships in data. The software uses various state-of-the-art methods to understand context, analyze patterns, and reveal insights—all in a human-readable way. Reveal insights hidden in your data Finding everything hidden in your text data is a difficult—if not impossible—task. With traditional search, you can only locate information related to a document. NaturalText A.I., on the other hand, uncovers new information within millions of documents, including scientific papers and patents. Use NaturalText A.I. to reveal insights in your data you are currently missing.
Domo software the world's first cloud-based management platform that gives Executives across the industry more accurate information which in turn allows for Better Business Decisions. Within their cloud-based software users have the ability to connect to over 500 data sources anywhere within their organization, you can easily gather data from any 3rd party source. Domo allows employees to engage with real-time data, increasing productivity and the potential to act on the data, including partners outside the company. On the go? Take your business with you, Domo's native mobile application enables all users to access and quickly manage their responsibilities on any IOS or Android mobile device.
AnswerRocket, an American software company, has been innovating search-based data discovery analytics, via natural language since 2013. Their solution provides business the intelligence and analytics needed to run an organization that is data-driven in today's economy. Their elegant and top-notch engineered platform offers a more in-depth look at how data is analyzed and distributed throughout an organization, giving a business an unfair advantage against the competition.
Get insights from your data in real time with Anodot. Anodot is a real time analytics and automated anomaly detection system that helps to discover business incidents in reall time. The platform uses patented machine learning algorithms to isolate issues and correlate them across multiple parameters. This helps eliminate business insight latency and supports smart, rapid business decision-making. Anodot is highly beneficial for typically siloed teams, such as Business Intelligence, Research and Development, and Devops.
Looker Data Sciences
Looker is a data analytics solution software that helps companies reanalyze business intelligence and data visualization. Users can easily integrate data from across data sources into a single view. With Looker employees can organize data, and make better-educated decisions when they access fresh reliable data.
EspressRepot ES (Enterprise Server) is a web and desktop-based software that allows users to develop stunning and interactive data visualization and reporting. The platform offers full Java EE integration, to draw data from data sources such as Bid Data (Hadoop, Spark, and MongoDB), ad-hoc queries and reports, online map support, mobile compatibility, alert monitor, and many other amazing features.
Any business looking for big data analytics software should not have a hard time finding a vendor. There is no shortage of vendors selling this type of software. Organizations will notice that each product does have its own functionality, there's no real way to differentiate the products based solely on functionality. This is due to the fact that the products have many of the same capabilities and features. Also, the differences in the software tools are too minor to notice. Having said this, differentiating between the various software should come down to mature analytics, the software's cost, ease of use, and the sophistication of its algorithms.
This article's goal is to help vendors understand the difference between the products. It will examine products from several vendors that provide big data analytics software. The nine vendors getting analyzed include Teradata, SAP, Oracle, Microsoft, Alteryz, IBM, KNIME.com, RapidMiner, and SAS. Again, these products while they may seem similar in functionality but they do have their differences. Some of the products mentioned have more than one tool. This article features a group of vendors that highlight the big data analytics markets' various aspects. By comparing and contrasting these products, businesses are able to understand how these products can meet the needs and goals of the organization.
Some of these tools are engineered specifically for users who are new to data analytics, while other tools are designed for those who are expert-level data analysts. There are also a variety of tools suitable for use by experts and novices.
Products like IBM's SPSS Modeler, Oracle Advanced Analytics, RapidMiner's tools, and the SAP Predictive Analytics' Automated Analytics version is designed for the beginner. Its features are truly designed for the person who knows nothing or has very little knowledge, in data analysis or statistics. These users will be able to use the tool to create statistical models, analyze data, and design analytic workflows with very little, or no, knowledge of coding. Each of these vendors combines their program's core elements with an interface that is intuitive. The combination of these features facilitates the analyst's progress through data preparation, the analysis of data, and the design of the model and validation. The approach taken by each software vendor takes may be different. These differences become evident when comparing standalone products (like RapidMiner) to vendor products that are a part of a larger suite (products offered by Oracle).
KNIME Analytics Platform, Microsoft Revolution Analytics, IBM SPSS Statistics, Teradata's Aster Discovery Platform, and Microsoft Revolution Analytics are tools that provide the functionality that experienced users expect to see. Oracle's R Advanced Analytics for Hadoop (ORAAH), is a part of Oracle's Big Data Software Connectors software suite. This tool provides an R interface that allows the manipulation of Hadoop's Distributed Files System data. It also lets users manipulate R's writing and data mapper. The tool also allows the manipulation of reducer functions. The amount of flexibility offered by these tools is appealing to advanced data scientists.
The functionality of SAS Enterprise Miner and Alteryx adapts to meet the level of expertise of the individual user. Because of this, they are beneficial to advanced users and those who are new to using them. IBM's SPSS and SAS Enterprise Miner's tool really stand out because they support advanced analytical methods and applying data to models. These tools also provide a greater array of analysis functions like association analysis, visualization capabilities, and neural networks.
Depending on the organization's use and how they apply these tools, users will need to support a variety of analytic capabilities that use a particular type of modeling (ex. segmentation, decision trees, clustering, regression, and behavior modeling). While there is widespread support for the different types of high-level analytical modeling. Vendors have spent decades updating their algorithms and increasing the complexity of their functionality. It's very important that businesses know which models are a relevant business solution. Organizations also need to determine which products will best serve the needs of their business.
The more established and higher-end (also, more likely to be higher-priced) tools give users the greatest analytical range. Oracle Data Miner has several reputable machine learning approaches that are designed to support predictive mining, clustering, and text mining. The two additions of the SPSS products, by IBM, offer a unique group of analytical models and techniques. SAS Enterprise Miner also supports several techniques and algorithms that include time series, decision trees, market basket analysis, neural network, logical and linear regression, link analysis, Web path and sequence analysis.
The new generation of tools are less expensive and support different types of models. However, their level of algorithmic sophistication is limited. Alteryx Analytics Gallery's model inventory has the following capabilities: time series and classification analysis, regression analysis, decision trees, and association rule analysis. KNIME's capabilities include time series analysis, image mining, and methods of text mining. KNIME also incorporates machine learning algorithms that are derived from different open source frameworks like JFreeChart and Weka R.
Analytical diversity also involves the integration of statistical tools and programming languages, like R for integrating functionality, as defined by the user, and existing libraries. Analytical diversity also integrates the libraries that currently exist as user-defined functionality. SAS Enterprise Miner, Alteryx Designer, Teradata's Aster Discovery Platform, Microsoft's Revolution Analytics, KNIME's Analytics Platform and ORAAH from Oracle all have support and interface integration with R.
There are several dimensions to consider when speaking about the scope of data getting analyzed. This includes the access to an on-premises data warehouses, cloud-based data sources, data managed on larger platforms like Hadoop, and unstructured vs. structured information. However, there are several levels of support for managing data within unconventional data repositories. These data lakes are managed inside Hadoop or within a different NoSQL data managing system that is designed to provide horizontal scaling. Making the distinction among products really depends on the organization's rules regarding how it wants to access and process data variety and volume.
The data volume and need for analysis will determine an organization's the need for scalable performance. There is a good chance that smaller organizations will not have the same requirements. Small organizations that do not have large amounts of data should notice that this product performs well even without the performance features that are able to scale with the organization's resources. This includes entry-level editions of lower-end tools like Alteryx Designer, Microsoft Revolution R Open, KNIME, and RapidMiner. These tools have the ability to run on a desktop system and will not require any additional server components.
Large organizations will have a considerable amounts of data sets they need to analyze, these organizations will also have a large number of users. These two facts mean that organizations will have additional requirements. Organizations will need tools that provide a high level of performance and can facilitate collaboration. Product adaptability to high-performance structures is a good sign of the tool's scalability. The majority of these products are also adaptable to Hadoop's parallelism or can use another way to achieve a quicker computation.
Each one of these products is able, to a certain extent, to provide support for Hadoop. The products that support Hadoop include the following tools: RapidMiner's Radoop, SPSS Statistics, IBM SPSS Modeler, Oracle's Big Data Discovery, Cluster Execution add-ins, and Big Data Extension by KNIME. ORRAH tools are also able to provide a degree of support for Hadoop. The Teradata Aster Discovery Platform tackles high-performance requirements using Teradata's MPP architecture. Expert Analytics' edition of SAP's Predictive Analytics product can perform in-memory data mining to handle the analysis of large-volume data. Microsoft R Enterprise uses the ScaleR module of Revolution Analytics, a repository of big data analytics algorithms that facilitates parallelization. Scoring algorithms that are put into effect using SAS Enterprise Miner may be utilized and carried out in Hadoop's environment.
As previously stated, the bigger an organization, the more likely the organization will need to share analysis, applications, and models among various groups and analysts. Organizations with many analysts that are distributed across the company may have a greater need to find ways to share models and collaborate in regards to the interpretation of these models. RapidMiner's Server product gives users the necessary support to share and collaborate while the Gold edition of IBM's SPSS Modeler provides users with collaboration capabilities. KNIME provides commercial extensions that facilitate team collaboration. Alteryx Analytics Gallery gives organizations a means to share sophisticated analytics application in the cloud with team members who are dispersed throughout the organization. The client-server architecture of SAS Enterprise Miner let data analysts and business users work together by allowing them to share models and different types of work products.
Vendors are often compared by their size. It is easy to contrast what is consider mega-vendors with big data tools that are one component of a rather large tool portfolio. Larger organizations tend to negotiate a site-wide, enterprise licenses that give them access to the full suite of the vendor's tools. Organizations that seek this type of arrangement will more than likely prefer to use mega-vendors like SAS, SAP, Oracle, and IBM.
Large vendors require tools for big data analytics that are a part of a bigger tool suite. It’s safe to assume that the products offered by mega-vendors are fully, or in part, integrated and designed to work together. Also, some people may have a greater degree of comfort when working with a larger vendor. People tend to be more comfortable using large vendors because they expect a level of stability. There is also an expectation of receiving a consistent customer service experience. However, big data analytics tools may be a part of a larger software licensing arrangement.
Small vendors, like RapidMiner, Altered, and KNIME, derive their revenues primarily from the licensing and supporting a limited number of big data analytics products. Working with small vendors does have its benefits. The customers of small vendors may find that they are able to develop a closer relationship with a vendor's product management and their innovation teams. Also, organizations may have the ability to influence the products roadmap or increased functionality. Small vendors may also offer users more leeway as far as pricing and what features they want to have in the licensing arrangement. Organizations should understand that there are potential risks associated with working with small vendors. There is the possibility of dealing with stability issues, a chance that the company could be acquired by a larger one, and these vendors may have limited availability of support resources. All of these factors could affect the relationship consumers have with a vendor.
Every big data analytics vendors offer different editions or versions their products. Often the differences in these versions are evident when analyzing the price range of the different additions. The cost of products and the cost to acquire the products and the cost of operating them. Teradata, IBM, RapidMiner, Microsoft, and Oracle sell editions of the products that have different tiers. The licensing costs are affected by the tool's capabilities, features, the number of processing devices the product is able to use, or the number of limitations in regards to the amount of data that is getting analyzed. RapidMiner and KNIME do offer free and open source versions of the products. There is a charge for the versions that support enterprise-level applications or support services. The costs of RapidMiner, Alteryx, and KNIME do offer lower-priced options for organizations that do not have a large number of users. Anyone thinking about using SAP or SAS should contact the companies to find out their pricing alternatives.