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Top Rated Big Data Software with Data Import/Export in 2026

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All user reviews are verified by in-house moderators and provider data by our software research team.  Learn more

Last updated: March 2026

Data import/export in big data software facilitates the seamless transfer of information between various sources and formats. It enables efficient data integration, analysis, and reporting, enhancing overall data accessibility and usability. Our reviewers in big data software rated this feature as important.

3 Best Big Data Software with Data Import/Export

See other top Big Data products with data import/export

How we picked the 3 top rated products

We chose the high-performing solutions on this list based on verified user ratings on our site. Depending on available data, qualifying products either had to be among the most user-reviewed or the most searched-for products in the big data software category. They also needed to have sufficient reviews about data import/export, have a minimum user rating of 3 out of 5 for that feature, and show evidence of U.S. market presence. We then added a distinction for the product with the highest rating for data import/export based on our proprietary ratings and reviews. Sponsorship or client status has no influence on the selection of these products, but it may impact the order in which products appear.

Details for the 3 best products

Tableau logo
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User insights about the data import/export feature

Reviewers highlight Tableau's flexibility and ease of use in data import/export, supporting numerous file formats like Excel, CSV, PDF, and PowerPoint. They appreciate the wide range of data sources, including databases, spreadsheets, and cloud services. Users find the process intuitive and efficient, with Tableau Prep enhancing the experience. They note that while the free version has limitations, the paid version offers comprehensive functionality. Some users mention occasional issues with data structure and formatting, but overall, they find the capabilities reliable and user-friendly.
“The data import and export from tableau is very critical feature and tableau provides a robust platform for the easy and hassle free data import in form of excel files and or databases. Additionally, tableau suggest data corrections after importing before merging multiple sheets in order to be used across and to be used effectively. The data manipulations and changes such as transpose, date format, etc are important and useful features in tableau. ”
Verified reviewer profile picture

Namita S.

Student Assistant

“You can import the table data, csv data, excel data. The developed charts can be exported to ppt files for amazing presentations, word or any figure format for attractive reports.”
PM

Pavan M.

Associate Manager

Big Data key features coverage

Tableau offers 6 out of the 6 key features for Big Data software identified by reviewers:

Statistical Analysis4.5
High Volume Processing5.0
Reporting/Analytics4.5
Data Connectors4.4
Data Discovery4.5
Data Visualization4.7

Pros and cons based on 2,347 verified reviews

62% of users rated Tableau 5 out of 5 stars, while 1% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 2,347 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Comprehensive data visualization

Diverse visualization techniques

Intuitive drag-and-drop interface

Enhanced team collaboration

Versatile chart creation

Cons:

Slow performance with large datasets

High licensing costs

Frequent and problematic updates

High cost compared to competitors

Complicated data filtering

See pros and cons details

Pricing

Starting price:$15 per user/per month|Free version:Available|Free trial:Available

Prices may vary depending on the number of users and features.

Microsoft Power BI logo
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User insights about the data import/export feature

Reviewers appreciate Microsoft Power BI's extensive data import/export capabilities, noting its support for multiple file formats like Excel, CSV, PDF, and PowerPoint. They find it easy to connect to various data sources, including Microsoft Excel, SQL Server, and Azure. Users report that while the initial setup can be complex, the process becomes straightforward with experience. They value the automation and real-time data visualization features. However, some mention difficulties with larger datasets and specific integrations, such as Google Sheets.
“Power BI's Power Query Editor provides robust data transformation capabilities, allowing you to clean, reshape, and enrich your data before importing it. It also allows users to export data from reports and dashboards in various formats, including Excel, PDF, CSV, and PowerPoint. This feature is useful for sharing insights and collaborating with stakeholders or other co-workers.”
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Eric R.

Data Analyst

“I appreciate Power BI's flexibility in importing/exporting data from various sources/formats, facilitating smooth data migration and enabling comprehensive analysis across platforms.”
AS

Asto S.

Owner

Big Data key features coverage

Microsoft Power BI offers 5 out of the 6 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.5
Reporting/Analytics4.6
Data Connectors4.4
Data Discovery4.5
Data Visualization4.7

Pros and cons based on 1,868 verified reviews

63% of users rated Microsoft Power BI 5 out of 5 stars, while 1% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 1,868 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Powerful analytical tools

Seamless Microsoft integration

Comprehensive data analysis

Versatile chart options

Advanced visualization tools

Cons:

Challenging problem solving

Slow performance with large datasets

Complex user navigation

Difficult Excel formula integration

Steep learning curve

See pros and cons details

Pricing

Starting price:$10 per user/per month|Free version:Available|Free trial:Not available

Prices may vary depending on the number of users and features.

Google Cloud logo
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User insights about the data import/export feature

Reviewers indicate that Google Cloud offers simple and efficient data import/export capabilities, supporting various formats and ensuring data quality. They appreciate the seamless integration with other Google services, like BigQuery, and the ease of uploading and downloading files. Users find the process secure and straightforward, making it convenient for business needs. Some mention the scalability of solutions for data migration and the robust APIs for integration with storage solutions. However, a few users note limited use of this feature in their experience.
“It is also one of the best feature of Google Cloud Platform which helps to connects the data to BigQuery directly by importing and can be exported through wrtiting queries. This is a hassle free and easy to understand process. It also gives direct source option to choose which is "Google Cloud Platform". Throgh Data Import we can directly import the data just by clicking the file.”
Verified reviewer profile picture

Ishaan P.

Software Development Engineer Intern

“GCP allows data to be imported or exported in various formats which some of the cloud service providers fail to do and that makes the job easier for the user to just upload any format just by a click of a button.”
HR

Hrudvi R.

Analyst

Big Data key features coverage

Google Cloud offers 5 out of the 6 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.4
Reporting/Analytics4.4
Data Connectors4.5
Data Discovery4.5
Data Visualization4.5

Pros and cons based on 2,250 verified reviews

72% of users rated Google Cloud 5 out of 5 stars, while 0% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 2,250 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Flexible scalability options

Extensive API offerings

Robust data storage solutions

Efficient document sharing

Seamless integrations

Cons:

Dependence on internet speed

Inadequate customer support

Frequent software issues

Complex and costly pricing

See pros and cons details

Pricing

Free version:Available|Free trial:Available

Prices may vary depending on the number of users and features.

Other Top Rated Big Data Software with Data Import/Export in 2026

API Server logo

Build enterprise-ready REST APIs from any database

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CData's API Server can be used to build REST APIs from any database including SQL Server, MySQL, DB2, Mongo, and others. API Server users can create fully-documented, discoverable APIs using existing enterprise data. This solution provides configuration options for database / data source connection plus authentication and permissions for increased security. It allows users to publish APIs locally or in the cloud. API Server can integrate with Microsoft Power BI and other popular systems.

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SAS Viya logo

Cloud native AI and analytics platform

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SAS Viya is a cloud-native data and artificial intelligence platform designed to support analytics workflows across organizations. The platform features data management capabilities that provide access to multiple data sources with built-in governance and lineage tracking. It includes machine learning, statistical modeling, and data mining tools accessible through both visual and code-based interfaces, along with SAS Viya Copilot for AI-assisted tasks.

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Google Cloud logo
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Modular platform for computing, hosting, storage and 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

Visual analytics platform for data exploration

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Tableau is a business intelligence and analytics platform that enables users to connect to databases, create data visualizations, and share insights. The platform offers deployment options including cloud-based, self-hosted, and desktop environments with drag-and-drop functionality for building interactive dashboards. It features AI-based analytics capabilities, integration with Salesforce CRM, and supports visual storytelling and collaboration across organizations.

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

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Datadog is a full stack monitoring service for IT, Operations, Security, and Development teams who develop and run cloud applications and deal with large amounts of data.

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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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Minitab logo
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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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Agentic Al-Powered Self-Service Bl and Analytics Platform

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AI-powered self-service BI and analytics platform that scales up to analyze huge data volumes for insights

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Looker logo

BI platform for data exploration & analytics

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Looker is data analytics platform that makes it easy for everyone to find, explore and understand your business data.

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Qlik Sense logo
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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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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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Competitor Price Tracking and Dynamic Pricing Software

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Historical Logs For Past Pricing Performance

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Phocas logo

Business intelligence, financial reporting & sales analytics

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Phocas provides big data analytics to uncover trends, patterns, correlations or other useful insights that lead to tangible results.

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The AI Platform for Enterprise Analytics

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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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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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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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Win public contracts with AI

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Hermix helps companies win public contracts, with tender monitoring, analysis, and market intelligence based on AI

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Managed data acquisition, perfected at scale.

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Grepsr is a powerful Big Data service. We offer efficient and customizable data extraction, automation, and analysis solutions for businesses dealing with large datasets. With our user-friendly interface and robust functionality, Grepsr enables organizations to streamline data collection.

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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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Anaconda logo

Open-source data science platform

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Anaconda is an open-source data science platform designed for enterprises, academic institutions, government agencies, and individuals. It provides the tools to help data scientists and engineers develop applications and production-scale, performant machine learning applications with Python.

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Cyfe logo

All-in-one business dashboard

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Monitor and visualize your business on one easy to use, real-time dashboard. Social media, analytics, marketing, sales, support – all of your data together.

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Distributed search and analytics solution

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Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.

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Matillion logo

Extract, transform, load platform for cloud data warehouses

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Matillion is an extract, transform, load (ETL) solution for cloud data warehouses including Amazon Redshift, Snowflake and Google BigQuery. It enables users to gather data from various sources & deliver them in structured and semi-structured frameworks using data transformation capabilities.

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Key features for Big Data software

Based on GetApp's analysis of verified user reviews collected between July 2021 and August 2024.

  • Statistical Analysis: Reviewers appreciate the wide range of statistical models and analyses available, including regression, ANOVA, and graphical analysis, highlighting ease of use and accuracy. 90% of reviewers rated this feature as important or highly important.
  • High Volume Processing: Users value the ability to efficiently handle and analyze large datasets, emphasizing high performance, scalability, and quick processing times. 89% of reviewers rated this feature as important or highly important.
  • Reporting/Analytics: Reviewers highlight robust reporting and analytics capabilities, enabling detailed, customizable reports and in-depth data analysis for informed decision-making. 88% of reviewers rated this feature as important or highly important.
  • Data Connectors: Users appreciate the variety of pre-built connectors for seamless data integration from multiple sources, simplifying data preparation and ensuring up-to-date insights. 88% of reviewers rated this feature as important or highly important.
  • Data Discovery: Reviewers value tools for easily uncovering patterns, trends, and insights within data, aiding in better understanding and decision-making. 87% of reviewers rated this feature as important or highly important.
  • Data Visualization: Users highlight the ability to create clear, interactive charts and graphs, making it easier to interpret complex data and communicate insights effectively. 85% of reviewers rated this feature as important or highly important.