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Big Data Software

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CData Sync logo

No-code integration for your data — in the cloud or on-prem

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CData Sync is an easy-to-use ETL solution that allows you to integrate data from any source, cloud platform, application, or on-premises system to leverage by leading analytics, BI, marketing, and accounting solutions to support vital business initiatives.

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Minitab logo
Category Leaders

Visualize, analyze, and harness the power of your data.

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Minitab is a statistical and data analytics software, which helps organizations predict, visualize, and analyze business data to forecast patterns, discover trends, view relationships between variables, and more. The built-in assistant lets users manage data analysis and interpretation operations.

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Byteplant Address Validator logo

Standardize, Validate and Correct Postal Addresses Worldwide

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Address Validator provides accurate verification, standardization, and formatting of postal addresses from over 240+ countries worldwide in real-time.

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Google Cloud logo
Category Leaders

Modular platform for computing, hosting, storage & more

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Google Cloud Platform is a modular-based platform providing multiple build and scale services to businesses of any size within any industry. It offers tools for document storage, data warehousing, security key enforcement, app creation, API management, AI and machine learning, live chat, and more.

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Tableau logo
Category Leaders

Business intelligence & analytics

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Tableau is the world’s leading AI-powered analytics and business intelligence platform. Learn More!

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Microsoft Power BI logo

BI visualization and reporting for desktop, web or mobile

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Microsoft Power BI converts data into rich interactive visualizations, utilizing business analytics tools to share dashboard-based insights across all devices

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IBM SPSS Statistics logo
Category Leaders

Business intelligence and statistical analysis software

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IBM SPSS Statistics is a business intelligence software that helps businesses of all sizes conduct statistical analysis utilizing big data, machine learning algorithms, open-source extensibility, and other methodologies from within a unified platform.

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MongoDB logo

Database management and application development software

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MongoDB is a database management software that is designed for organizations in several industry segments, including media, healthcare, retail, hospitality, energy, and public services. It helps developers build applications and utilize the built-in tools to visualize, manipulate, and analyze data.

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vSphere logo

Server virtualization software for managing applications

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vSphere is a server virtualization software designed to help businesses manage applications and modernize workflows using virtual machines, Kubernetes, and containers. Enterprises can protect their hybrid cloud infrastructure against malware, ransomware, and other threats using built-in security capabilities.

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Oracle Database logo

Discover the Right Database for You

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Oracle Database is a data warehouse software designed to help businesses of all sizes manage data and automate recurring tasks using machine learning-enabled tools. The platform enables managers to generate business models, transform data, and detect hidden anomalies across datasets.

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Sisense logo

BI & dashboard software for multiple, large data sets

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Sisense data & analytics platform makes it incredibly easy to mashup data from across your entire data landscape and transform it into powerful, actionable analytics applications that can be embedded anywhere. From startups to brands like GE, Nasdaq, & Philips, thousands of organizations use Sisense

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Looker logo

Analytics Evolved

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Looker, now part of Google Cloud, is a data platform that makes it simple for anyone to find, navigate and understand their data. Looker platform has an analytics interface for exploring data, a reusable development paradigm for curating data experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.

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Splunk Enterprise logo

Machine data management and analytics

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Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine data. Key features include data visualization, performance metrics, data collection, real-time search, indexing, KPI tracking, reporting, and monitoring.

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Datadog logo

Cloud-Scale Monitoring Platform For Dev, Sec, and Ops teams.

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Datadog is a monitoring and security platform for Dev, Sec, and Ops teams that unifies metrics, traces, and logs in one place so teams can get full visibility into their IT environment.

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Zoho Analytics logo
Category Leaders

Self-service BI and Analytics platform

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Zoho Analytics is a self-service BI and analytics platform that helps users get new insights from their business data.

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Qlik Sense logo
Category Leaders

End-to-end data analytics platform

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Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. It supports a full range of users and use-cases across the life-cycle from data to insight.

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Prisync logo

Competitor Price Tracking and Dynamic Pricing Software

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Increase profit margins by automating price & stock data collection with Prisync's dynamic pricing engine. Our tool tracks every competitor product price & stock availability information you specify and automates pricing to solve your profitability problems on all sales channels.

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Amazon EC2 logo

Amazon Elastic Compute Cloud

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Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to facilitate web-scale computing for developers.

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Wolfram Mathematica logo

Simulation solution for technical computing.

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Wolfram Mathematica is a simulation solution that offers a variety of functions including natural language input, real-world data capabilities, high-powered computation, and more. The platform provides various features such as machine learning, data science, and visualization. Its intuitive interface, predictive suggestions, and rich document organization make it incredibly user-friendly.

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Phocas Software logo

Feel good about using data.

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Phocas Software revolutionizes the way people interact with their own information through powerful analytics and visualization tools.

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SyncSpider logo

Integrate, automate data flow, synchronize data among apps

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SyncSpider is an integration tool designed to help eCommerce businesses automate multi-channel sales processes, connect apps together, sync inventory data, and more. An automation tool built for eCommerce, it helps grow revenue, centralize stocks, improve the buying experience for customers. sync data across apps and marketplaces.

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Alteryx Designer logo

Empowering people to turn data into breakthroughs

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Alteryx enables the preparation, blending and analysis of data using repeatable workflows, facilitating a faster reporting of analytics for deeper BI insights

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ContentKing logo

Real-time SEO auditing, content tracking & change management

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ContentKing is a real-time SEO auditing and monitoring platform that provides you with full-situational awareness so you can improve and maintain visibility.

With 24/7 Monitoring and Alerting, you’ll have the most up-to-date insights on your SEO performance without needing to waiting for a crawl.

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Hevo  logo

No-code, data pipeline for advanced ETL, ELT and Reverse ETL

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Hevo is a no-code, bi-directional data pipeline technology designed specifically for advanced ETL, ELT, and Reverse ETL requirements.

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Cleo Integration Cloud logo

Secure Integration and Data Movement Platform

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Cleo Integration Cloud (CIC) is a cloud-based integration platform, purpose-built to design, build, operate and optimize critical ecosystem integration processes.

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Buyers Guide

Big Data Software

What is big data software?

Big data software manages, stores, and processes large volumes of data. The tool helps businesses analyze unstructured datasets from a large pool of data to draw meaningful insights. 

Big data software typically offers features such as real-time reporting capabilities for faster decision-making, predictive analytics algorithms for identifying trends in customer behavior or market movements, and scalability options that allow increased storage capacity. Additionally, many big data solutions offer visualization tools to create comprehensive yet understandable reports on performance metrics.

What are some common features of big data software?

  • High volume data processing: Process vast volumes of structured or unstructured information in real time, allowing informed decision-making. 

  • Data mining: Analyze large amounts of data and uncover useful trends, patterns, correlations, and relationships. 

  • Data cleansing: Detect and fix errors in data sets, ensuring the accuracy of information 

  • Data blends: Simplify the process of combining data from multiple sources, such as databases and spreadsheets. 

  • Data visualization: Visualize complex data sets by creating charts, graphs, diagrams, and other graphic representations. 

  • Data warehousing: Store and manage large amounts of data, allowing teams to access the information they need with role-based access quickly. 

  • Predictive analytics: Identify patterns, trends, correlations, or relationships that can be leveraged for predicting future outcomes and optimizing decision-making.

What are the benefits of using big data software?

  • Automate data analysis: Using big data software, you can automate data analysis and get valuable insights into your business’s performance. The tool simplifies collecting, organizing, analyzing, and visualizing large amounts of information to uncover hidden trends or patterns in your business operations. This saves time by eliminating manual tasks associated with traditional analytics processes so you can focus on framing future growth strategies.

  • Enhance data collection: Big data software lets you collect, organize and store large amounts of structured or unstructured datasets. You can gain deeper insights into business operations with access to real-time analytics, predictive modeling, and more accurate forecasting capabilities. 

  • Enable data-driven decision-making: With big data software, you can analyze and interpret large amounts of structured or unstructured data quickly and accurately, identifying trends in customer behavior, market opportunities, cost savings insights, and more. With real-time analytics capabilities, you can make decisions that positively impact the bottom-line results and overall business performance.

  • Increase data security: Big data software provides a secure platform to store, analyze and share business data. The tool further prevents unauthorized access and protects the integrity of your sensitive information by encrypting it at rest or in transit. Additionally, the advanced security features let you monitor user activity so that you can quickly detect any suspicious behavior before confidential records are compromised.

  • Allow data visualization: You can use big data software to make complex datasets easier to understand and provide insight into trends, correlations, and patterns that may not be visible otherwise. Visualization tools such as charts and graphs let you identify relationships between different variables in the dataset while providing an overall picture of how those variables interact over time.

What are the potential issues with big data software?

  • Difficult to manage the database: Big data software can be difficult to manage due to the size and complexity of datasets. The amount of data processed is often larger than traditional databases, requiring extra resources for storage and processing. Additionally, understanding big data requires specialized skills that may not always be available or affordable for your business. As a result, managing large amounts of big data effectively can prove challenging without the proper knowledge and technology in place.

  • Poor data quality: Poorly collected or stored information can lead to inaccurate analysis and results, making the system unreliable for decision-making. This may also lead to wrong decisions based on outdated knowledge, disrupting the business strategy and growth. 

  • Data security and privacy issues: Unsecured systems can lead to unauthorized access or misuse, while inadequate user access management may increase the risk of identity theft and fraud. Furthermore, you must be aware that legal regulations (General Data Protection Regulation - GDPR) require you to protect any personal data collected from customers.

  • Inaccurate analysis and insights: Without accurate information, businesses may make poor decisions, leading to costly mistakes. Furthermore, inaccurate analyses can also cause distrust from stakeholders who rely on the accuracy of these reports for making business decisions. This lack of trust in the data or its interpretation has long-term negative impacts on your business’s reputation.

How much does big data software cost?

Most big data software products are priced on a “per month” basis, and their entry-level pricing plan ranges from $19 to $1,000+* per month. An enterprise product that’s priced higher may include additional features such as user groups, activity logs, and advanced data preparation.

*The pricing included is for the entry-level/lowest-priced offerings found on vendor websites as of March 17, 2023. 

Key considerations when purchasing big data software

  • Check the platform’s scalability: Scalable solutions make room for future growth in data size and complexity without disruption or extra costs. Additionally, they allow you to tailor the data storage solution as needed while managing a larger database efficiently with fewer resources. Scalability allows for greater flexibility and cost savings when incorporating new technologies or expanding operations, ensuring a smooth transition as more customers are added or services grow in demand. 

  • Evaluate the range of analytics features: Ensure the software provides a comprehensive set of analytical tools and capabilities to enable advanced data analysis, including predictive models, machine learning algorithms, time-series forecasting, etc. Additionally, consider if there are any specialized analytic functions available, such as natural language processing (NLP) or customer segmentation, which could be beneficial in complex scenarios.

  • Assess the data processing speed: Faster speeds allow for quicker analysis and more rapid insights into the large volumes of data, improving efficiency in operations and decision-making processes for your business. Ensure that the software provides a comprehensive set of analytical tools and capabilities to enable advanced data analysis including predictive models, machine learning algorithms, time-series forecasting, etc.

Sources

Products evaluated for the pricing calculation were taken from GetApp’s big data software directory. The pricing ranges exclude freemium versions of the products. The features highlighted were identified based on their relevance and the percentage of products in GetApp’s directory that offer them. 

Disclaimer

This big data software buyers guide was authored by GetApp’s content team. We develop our guides using the author’s expertise, insights from 2M+ unique user reviews, and our proprietary data science algorithms to identify trends in user sentiment, preferences, and priorities. Some text was generated with assistance from AI tools.