Big Data Software
View:
Oh no! Some styles failed to load. 😵
Please try reloading this page
Compare the Top Big Data Software of 2021
Sort By:
Big Data Software Guide
Big data software provides the means to process, analyze and extract information from large or complex data sets in order to be documented and interpreted. Compare the best Big Data software currently available using the table below.
Need help deciding?
Talk to one of our software experts for free. They will help you select the best software for your business.
-
1
Altair Monarch
Altair
An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Altair can automate preparation tasks for expedited results and deliver data you trust for smart business decision making. To learn more about Altair Monarch or download a free version of its enterprise software, please click the links below.
-
2
DashboardFox
5000fish
Dashboards, codeless reporting, interactive data visualizations, data level security, mobile access, scheduled reports, embedding, sharing via link, and more. DashboardFox is a dashboard and data visualization solution designed for business users with a no-subscription pricing model. Pay once and you own the software for life. DashboardFox is self-hosted, install on your own server, behind your firewall. Looking for Cloud BI? We offer managed hosting services, but you still retain ownership of your DashboardFox licenses and data. DashboardFox allows your users to drill-down and interact with live data visualizations via dashboards and reports. Business users can create new visualization in a codeless report builder without needing a technical pedigree. An alternative to Tableau, Sisense, Looker, Domo, Qlik, Crystal Reports, and others.
Starting Price: $395 one-time payment -
3
Incorta
Incorta
Direct is the shortest path from data to insight. Incorta empowers everyone in your business with a true self-service data experience and breakthrough performance for better decisions and incredible results. What if you could bypass fragile ETL and expensive data warehouses, and deliver data projects in days, instead of weeks or months? Our direct approach to analytics delivers true self-service in the cloud or on-premises with agility and performance. Incorta is used by the world’s largest brands to succeed where other analytics solutions fail. Across multiple industries and lines of business, we boast connectors and pre-built solutions for your enterprise applications and technologies. Game-changing innovation and customer success happen through Incorta’s partners including Microsoft, AWS, eCapital, and Wipro. Explore or join our thriving partner ecosystem.
-
4
Raima Database Manager (RDM)
Raima
Raima Database Manager is an embedded in-memory database for IoT and Edge devices. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.
-
5
FlowWright
IPS
Business Process Management Software (BPMS) & BPM Workflow Automation Tool. Companies need workflow, forms, compliance, and automation routing support. Our low-code options make creating + editing workflows simple. Our best-in-class forms capabilities, make it possible to rapidly build forms, forms logic, and workflows for forms-driven workflow processes. Companies have many existing systems in place that need to work with each other. Our business process integrations across systems are loosely-coupled + intelligently integrated. When you use FlowWright to automate your business, you gain access to standard metrics and metrics that you define. BPM analytics are a key part of any BPM workflow management software solution. FlowWright can be deployed as a cloud solution or deployed in an on-premise or .NET hosted environment (including AWS and Azure). It was built in .NET Foundation C# code and all tools are fully browser-based, requiring no plug-ins.
-
6
Omniscope Evo
Visokio
Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, edit, blend, transform while visually exploring it, extract insights through ML algorithms, automate your data workflows, and publish interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation.
Starting Price: $59/month/user -
7
Google Cloud Platform
Google
Build What’s Next. Better software. Faster. Use Google's core infrastructure, data analytics and machine learning. Secure and fully featured for all enterprises. Committed to open source and industry leading price-performance. Secure, global, high-performance, cost-effective and constantly improving. We’ve built our cloud for the long haul. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and reliable messaging.
Starting Price: $0.01 -
8
Sadas Engine
Sadas
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.
-
9
MongoDB
MongoDB
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.
-
10
Datadog
Datadog
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
Starting Price: $15.00/host/month -
11
Cyfe
Cyfe by Traject
Cyfe is a business intelligence platform that helps businesses of all sizes with KPI monitoring, search engine optimization, scheduling, social media marketing, custom reports, data export & archiving and more.
Starting Price: Free -
12
Looker
Google
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.
-
13
Domo
Domo Technologies
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.
-
14
MicroStrategy
MicroStrategy
Quickly deploy consumer-grade BI experiences for every role, on any device, with the platform that provides sub-second response at enterprise scale. Build consumer-grade intelligence applications, empower users with data discovery, and seamlessly push content to employees, partners, and customers in minutes. Using our open platform, inject the data you trust into the tools you love. Learn about MicroStrategy's #1-rated platform for Embedded Analytics. Deploy mobile intelligence solutions for every user on any device, customized for your organization with no coding required. The fastest, most efficient way to run your Intelligent Enterprise.
-
15
Pentaho Business Analytics
Hitachi Vantara
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.
-
16
SPSS
IBM
Founded in 1911, IBM is a software organization based in the United States that offers a piece of software called SPSS. The SPSS software suite is Windows, and Linux software. SPSS offers online, and 24/7 live support. SPSS is big data software, and includes features such as collaboration, data mining, and predictive analytics. Software pricing starts at $1.00/one-time/user. Some competitor software products to SPSS include Analance, Salesforce Analytics Cloud, and Domo.
Starting Price: $1.00/one-time/user -
17
Neural Designer
Artelnics
Neural Designer is a data science and machine learning platform that helps you build, train, and deploy neural network models. The tool has been created so that innovative companies and research centers focus on their applications and not on mathematical algorithms or programming techniques. With Neural Designer, there is no need to write code or build block diagrams. Instead, the interface guides you through a sequence of well-defined steps. Machine Learning can be applied to different industries. Some typical solutions are: - In engineering: performance optimization, quality improvement, and fault detection. - In banking and insurance: churn prevention, customer targeting, and risk assessment. - In healthcare: medical diagnosis and prognosis, activity recognition, microarray analysis, and drug design. Neural Designer´s strength consists in giving you the ability to make complex operations and intuitively build predictive models thanks to its graphical user interface.
Starting Price: $2495/year (per user) -
18
List & Label
combit
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.
Starting Price: €650/license -
19
AnswerMiner
Answerminer
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.
Starting Price: $47.00/month -
20
Domino Data Science Platform
Domino Data Lab
Domino centralizes data science work and infrastructure across the enterprise for collaboratively building, training, deploying, and managing models – faster and more efficiently. With Domino, data scientists can innovate faster, teams reuse work and collaborate more, and IT teams can manage and govern infrastructure. Use the tools you want with self-serve access to scalable compute. Run and compare computationally intensive experiments simultaneously. Automatically track all work and progress over time. Deploy data science models on any infrastructure. Publish powerful data science applications for business users. Enable proactive model monitoring to maximize business impact. Find, reuse, reproduce, and discuss work. See the health and status of all data science projects and production assets. Instill consistent standards and best practices. Provide self-service access to scalable compute resources.
-
21
Elasticsearch
Elastic
Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world.
-
22
AnswerDock
AnswerDock
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 Omniscope Evo, Qrvey, and Analance.
Starting Price: $495.00/month -
23
K2View Data Fabric
K2View
K2View provides an operational data fabric dedicated to making every customer experience personalized and profitable. The K2View platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented Micro-Database™ - one for every customer. To maximize performance, scale, and security, every micro-DB is compressed and individually encrypted. It is then delivered in milliseconds to fuel quick, effective, and pleasing customer interactions. Global 2000 companies – including AT&T, Vodafone, Sky, and Hertz – deploy K2View in weeks to deliver outstanding multi-channel customer service, minimize churn, achieve hyper-segmentation, and assure data compliance.
-
24
LogIsland
Hurence
Hurence is a software business in France that publishes a software suite called LogIsland. The LogIsland product is SaaS software. LogIsland is big data software, and includes features such as data mining, data visualization, and high volume processing. Alternative competitor software options to LogIsland include IQLECT, ChaosSearch, and Datadog.
-
25
Salesforce Analytics Cloud
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.
Starting Price: $75.00/month/user
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, Alteryx, 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.
Consider Analyst Expertise and Skills When Selecting a Big Data Analytics Software
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 are designed for beginners. 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 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.
Analytical Diversity
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.
The Type of Data Getting Analyzed
There are several dimensions to consider when speaking about the scope of data getting analyzed. This includes the access to 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.
Supporting Scalability and High-Level Performance
The data volume and need for analysis will determine an organization's needs 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 amount 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.
Intra-Organization Collaboration
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 applications 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.
Product Integration and Vendor Size
Vendors are often compared by their size. It is easy to contrast what is considered 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.
Budget for Licensing and Maintenance
Every big data analytics vendor offers different editions or versions of 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.