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Top Rated Big Data Software with Data Connectors in 2026

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Verified reviewer profile picture

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

Last updated: March 2026

Data connectors allow seamless access to various data sources, enabling efficient data integration, transformation, and analysis. They support direct connections to databases and applications, ensuring accurate and up-to-date insights. Our reviewers in big data software rated this feature as highly important.

3 Best Big Data Software with Data Connectors

  • Tableau
  • Microsoft Power BI - Highest rated for data connectors
  • Google Cloud

See other top Big Data products with data connectors

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 connectors, 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 connectors 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
4.6
(2.3K)
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User insights about the data connectors feature

Reviewers appreciate Tableau's wide range of data connectors, which allow seamless integration with various data sources, including databases, spreadsheets, and cloud platforms. They find the connectors easy to use and effective for importing and visualizing data. Users highlight the flexibility to connect to multiple data types and the ability to handle large datasets efficiently. They also value the integration with Salesforce and the availability of custom SQL options, which enhance the data intake process and overall analysis capabilities.
“Integrations with Hive, Redshift, etc. make building the "last mile of track" in analytics reporting that much easier. Much of this could be automated if needed, but it's nice to have the option of direct connections. The ability to add custom SQL during the data intake process also cuts out additional tools/resources required to get data from databases into dashboards.”
Verified reviewer profile picture

Craig S.

Senior Platform Operations Specialist

“It has multiple connection options for different data sources such as Azure, Excel or databases. All connectors work very well and different connectors can be used together in the same project.”
Verified reviewer profile picture

Carlos E.

Cybersecurity Engineer

Big Data key features coverage

Tableau offers 5 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis4.5
High Volume Processing5.0
Reporting/Analytics4.5
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
4.6
(1.8K)
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User insights about the data connectors feature

Reviewers indicate that Microsoft Power BI offers a vast array of data connectors, facilitating integration with numerous data sources like Excel, SQL databases, and cloud services. They appreciate the ability to connect to multiple platforms, which enhances data analysis and reporting capabilities. Users report some challenges with specific connectors, but overall, they find the connectors extensive and versatile. They highlight the ease of connecting to other Microsoft tools and the utility of real-time data connections for dynamic reporting.
“Data connection or relationship between data sets give a great dynamic changes to the dashboard. Power BI comes with a variety of built-in connectors that allow you to connect to popular data sources, including databases, cloud services, and files such as Excel, CSV, and JSON”
MM

Mohammed M.

Planning Engineer

“Supports a wide variety of data connectors that allow the import of data from various sources, including relational databases, NoSQL, cloud services, local files, web services, among others. ”
Verified reviewer profile picture

Giuliana A.

Corporate Executive

Big Data key features coverage

Microsoft Power BI offers 4 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.5
Reporting/Analytics4.6
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
4.7
(2.2K)
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User insights about the data connectors feature

Reviewers appreciate Google Cloud's data connectors for their ease of use and reliability. They highlight the seamless integration with various Google services like DataProc and BigQuery, and the hassle-free connection to external platforms such as AWS. Users report that these connectors simplify the process of linking diverse data types in one place, making data management more efficient. They find the libraries for accessing APIs particularly useful, and the security measures implemented provide additional peace of mind.
“Connectors are another simple and very effective way used to connect to other Google Cloud APIs within a workflow, and to integrate our workflows with those Google Cloud products. Lots of options to choose from like DataProc, BigQuery etc makes it a very powerful tool.”
KK

Krishna K.

Software Enginner

“Data Connectors are the best in Google Cloud becuase it's hassle free and easy to connect the data and perform operations through those data.”
Verified reviewer profile picture

Ishaan P.

Software Development Engineer Intern

Big Data key features coverage

Google Cloud offers 4 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.4
Reporting/Analytics4.4
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 Connectors in 2026

API Server logo

API Server

(0)

Build enterprise-ready REST APIs from any database

visit website
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.

Read more about API Server

Users also considered
SAS Viya logo

SAS Viya

Cloud native AI and analytics platform

visit website
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.

Read more about SAS Viya

Users also considered
Google Cloud logo
Category Leaders

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.

Read more about Google Cloud

Users also considered
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.

Read more about Tableau

Users also considered
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

Read more about Microsoft Power BI

Users also considered
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.

Read more about IBM SPSS Statistics

Users also considered
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.

Read more about Oracle Database

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Datadog logo

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.

Read more about Datadog

Users also considered
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

Read more about Sisense

Users also considered
Zoho Analytics logo
Category Leaders

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

Read more about Zoho Analytics

Users also considered
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.

Read more about Looker

Users also considered
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.

Read more about Qlik Sense

Users also considered
Wolfram Mathematica logo

Simulation solution for technical computing.

learn more
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.

Read more about Wolfram Mathematica

Users also considered
Phocas logo

Business intelligence, financial reporting & sales analytics

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

Read more about Phocas

Users also considered
Alteryx Designer logo

The AI Platform for Enterprise Analytics

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

Read more about Alteryx Designer

Users also considered
Hevo logo

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

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

Read more about Hevo

Users also considered
Grepsr logo

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.

Read more about Grepsr

Users also considered
Snowflake logo

Cloud data platform for tech professionals and businesses

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Snowflake is a cloud data platform that can enable critical data workloads and secure collaboration. This solution can be used to run data across multiple regions for a single, unified experience across a business ecosystem. Using a multi-cluster shared data architecture, Snowflake provides access to the same data without affecting business performance. The platform can scale to any volume of data and number of users.

Read more about Snowflake

Users also considered
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.

Read more about Cleo Integration Cloud

Users also considered
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.

Read more about Anaconda

Users also considered
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.

Read more about Cyfe

Users also considered
Elastic Stack logo

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.

Read more about Elastic Stack

Users also considered
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.

Read more about Matillion

Users also considered
IBM Cognos Analytics logo

Business intelligence suite

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IBM Cognos is a suite of business intelligence and performance management software, that includes dashboards, reports, forecasting, visualization & automation.

Read more about IBM Cognos Analytics

Users also considered
Cluvio logo

Modern cloud analytics platform for startups and SMEs

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Cluvio is a modern SQL and R-based cloud analytics platform that allows you to create and share beautiful, interactive dashboards.

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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 value the ease of performing complex statistical analyses, including regression and ANOVA, using user-friendly interfaces and accurate models. 90% of reviewers rated this feature as important or highly important.
  • High Volume Processing: Users highlight the ability to handle large datasets efficiently, ensuring quick processing and analysis for data-driven decision-making. 89% of reviewers rated this feature as important or highly important.
  • Reporting/Analytics: Reviewers appreciate the tools for generating detailed, customizable reports and performing in-depth analysis, which aid in informed decision-making. 88% of reviewers rated this feature as important or highly important.
  • Data Discovery: Reviewers find data discovery tools helpful for uncovering important patterns and insights, aiding in understanding and improving business processes. 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 data interpretation easier and facilitating better decision-making. 85% of reviewers rated this feature as important or highly important.