# Best Big Data Analytics Software with Data Lake Capabilities

## How Many Big Data Analytics Software Products Does G2 Track?

**Total Products under this Category:** 111

### Category Stats (Sep 2026)

- **Average Rating:** 4.46/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

_Last updated: September 01, 2026_

## How Does G2 Rank Big Data Analytics Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 8,500+ Authentic Reviews
- 111+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Big Data Analytics Software
 ![G2 Grid® for Big Data Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/big-data-analytics/grids.png?focus%5B%5D=10470&focus%5B%5D=6073&focus%5B%5D=10938&focus%5B%5D=1308796&focus%5B%5D=67962&focus%5B%5D=989&focus%5B%5D=27024&focus%5B%5D=52199)

Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, IBM watsonx.data, Azure Databricks, Alteryx, Kyvos Semantic Layer, and Azure Synapse Analytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-analytics/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=azure-databricks&focus%5B%5D=alteryx&focus%5B%5D=kyvos-semantic-layer&focus%5B%5D=azure-synapse-analytics)

**Sponsored**

### ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1041&secure%5Bchosen_at%5D=2026-09-01T20%3A37%3A36Z&secure%5Bdisplayable_resource_id%5D=1041&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1041&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1416491&secure%5Bresource_id%5D=1041&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fbig-data-analytics%2Ff%2Fdata-lake&secure%5Btoken%5D=4f573ac50b365e5518c8b29389fe22d7a3de0ca5c95d08e8742ac37e6efd8792&secure%5Burl%5D=https%3A%2F%2Filum.cloud%2F%3Futm%3Dg2&secure%5Burl_type%5D=custom_url)

### [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)

Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly.

**Average Rating:** 4.5/5.0

**Total Reviews:** 213

#### How Do G2 Users Rate Azure Databricks?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.0/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.9/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Azure Databricks?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 47% Large, 28% Medium

#### What Do G2 Reviewers Say About Azure Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Azure Databricks, enjoying seamless integration and simplified development processes.
- Users love the **continuous feature improvements** in Azure Databricks, enhancing integration and performance significantly.
- Users value the **seamless integrations** of Azure Databricks with Azure services, enhancing efficiency and reducing complexity.
- Users highlight the **impressive speed** of Azure Databricks, facilitating efficient large-scale data processing and analytics.
- Users appreciate the **seamless integration and comprehensive analytics features** of Azure Databricks for efficient data processing.

##### Cons

- Users find the **complexity of setup and configuration** challenging, especially for newcomers navigating Azure Databricks.
- Users find the **difficult setup** of Azure Databricks challenging, especially for those new to the platform.
- Users face a **steep learning curve** with Azure Databricks, especially newcomers navigating its complex features and configurations.
- Users experience **slow performance** with Azure Databricks, particularly with cluster startup times and parallel processing efficiency.
- Users express concern about **unclear pricing** for Azure Databricks, noting unpredictable costs without careful monitoring and optimization.

#### What Are Recent G2 Reviews of Azure Databricks?

**["Balancing Performance and Complexity in Azure Databricks"](https://www.g2.com/survey_responses/azure-databricks-review-12601026)**

**Rating:** 5.0/5.0 stars

_— Ravi V._

[Read full review](https://www.g2.com/survey_responses/azure-databricks-review-12601026)

**["Azure Databricks efficient for large data, a bit rough on edges"](https://www.g2.com/survey_responses/azure-databricks-review-12684122)**

**Rating:** 4.5/5.0 stars

_— Wealth A._

[Read full review](https://www.g2.com/survey_responses/azure-databricks-review-12684122)

#### What Are G2 Users Discussing About Azure Databricks?

- [What is Azure Databricks used for?](https://www.g2.com/discussions/azure-databricks-what-is-azure-databricks-used-for) - 2 comments
- [Is Azure Databricks PaaS or SAAS?](https://www.g2.com/discussions/is-azure-databricks-paas-or-saas) - 2 comments
- [Does Microsoft own Databricks?](https://www.g2.com/discussions/does-microsoft-own-databricks) - 2 comments
- [What is Databricks Azure?](https://www.g2.com/discussions/what-is-databricks-azure) - 1 comment
- [What is azure Databricks used for?](https://www.g2.com/discussions/what-is-azure-databricks-used-for)

### [Confluent](https://www.g2.com/products/confluent/reviews)

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-time brand experiences. Data in motion is the underlying, fundamental ingredient to any truly connected customer experience. It provides a continuous supply of real- time event streams coupled with real-time stream processing to power the data-driven backend operations and rich front-end experiences necessary for any business to succeed within today’s competitive, consumer-driven markets. Set your data in motion while avoiding the headaches of infrastructure management and focus on what matters most: your business. Built by the original creators of Apache Kafka, Confluent Cloud is a fully managed, cloud-native service for connecting and processing all of your real-time data, everywhere it’s needed.

**Average Rating:** 4.4/5.0

**Total Reviews:** 111

#### How Do G2 Users Rate Confluent?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.9/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Confluent?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 36% Large, 33% Small

#### What Do G2 Reviewers Say About Confluent?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **simplicity and scalability** of Confluent's managed cloud services, enhancing real-time data integration.
- Users appreciate the **effortless integration** of Confluent's cloud services, enhancing their experience with Kafka and Flink.
- Users appreciate the **wide range of connectors** in Confluent, enhancing real-time data integration effortlessly.
- Users appreciate the **effortless data integration** offered by Confluent, enhancing real-time processing with robust tools and scalability.
- Users appreciate the **ease of use** of Confluent, enjoying simplified data integration and a user-friendly interface.

##### Cons

- Users note the **high cost estimation** with data growth and a steep learning curve for effective use.
- Users find Confluent **expensive** as costs rise with data volume, and learning the system can be time-consuming.
- Users face **initial difficulties** with a steep learning curve and costly pricing as data volumes increase.
- Users find a **lack of features** in Confluent, especially in lower tiers, leading to increased costs and complexity.
- Users face a **steep learning curve** with Confluent, requiring significant time to master its workflow and features.

#### What Are Recent G2 Reviews of Confluent?

**["seamless experience"](https://www.g2.com/survey_responses/confluent-review-8457785)**

**Rating:** 5.0/5.0 stars

_— Anup M._

[Read full review](https://www.g2.com/survey_responses/confluent-review-8457785)

**["Effortless Kafka Management with Confluent"](https://www.g2.com/survey_responses/confluent-review-12744384)**

**Rating:** 4.5/5.0 stars

_— Abhishek g._

[Read full review](https://www.g2.com/survey_responses/confluent-review-12744384)

#### What Are G2 Users Discussing About Confluent?

- [What is your primary use case for Confluent, and how does it enhance your real-time data streaming?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-confluent-and-how-does-it-enhance-your-real-time-data-streaming) - 1 upvote
- [What is Confluent product?](https://www.g2.com/discussions/what-is-confluent-product)
- [What does Confluent software do?](https://www.g2.com/discussions/what-does-confluent-software-do)
- [What is the difference between Confluent and Kafka?](https://www.g2.com/discussions/what-is-the-difference-between-confluent-and-kafka)
- [Is Confluent SaaS or PaaS?](https://www.g2.com/discussions/is-confluent-saas-or-paas)

### [Cloudera](https://www.g2.com/products/cloudera/reviews)

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

**Average Rating:** 4.2/5.0

**Total Reviews:** 187

#### How Do G2 Users Rate Cloudera?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.6/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 7.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Cloudera?

- **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera)
- **Company Website:** www.cloudera.com
- **Year Founded:** 2008
- **HQ Location:** Santa Clara, CA
- **Twitter:** @cloudera  
106,442 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b6b5c58818dc39001f93594864d8d88fc876550d3da9306b76f69639a789f14&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F229433%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,446 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 39% Large, 36% Small

#### What Do G2 Reviewers Say About Cloudera?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **user-friendly interface** of Cloudera, highlighting its simplicity in managing big data efficiently.
- Users value the **easy scalability** of Cloudera, enabling efficient management of large amounts of data effortlessly.
- Users value the **robust security features** of Cloudera, ensuring safe and reliable data management across platforms.
- Users value the **comprehensive suite of tools** in Cloudera for effective data management and analytics.
- Users find Cloudera's **scalability and centralized administration** invaluable for efficient monitoring and management of data processes.

##### Cons

- Users express concerns over the **high costs** of Cloudera, noting it's expensive for its complexity and maintenance.
- Users find Cloudera's database to be **complex** , making it challenging for inexperienced professionals to utilize effectively.
- Users find Cloudera's setup **difficult to learn** , particularly challenging for beginners without adequate tutorials or guidance.
- Users find the **poor documentation** of Cloudera frustrating, complicating navigation and setup for complex data configurations.
- Users often face **access issues** with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

#### What Are Recent G2 Reviews of Cloudera?

**["Streamlined Migration, Excellent Usability"](https://www.g2.com/survey_responses/cloudera-review-13333837)**

**Rating:** 4.0/5.0 stars

_— mohan t._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-13333837)

**["Fast Platform with Quality Tools and Advanced Tech Stack"](https://www.g2.com/survey_responses/cloudera-review-13332785)**

**Rating:** 4.0/5.0 stars

_— Chess G._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-13332785)

#### What Are G2 Users Discussing About Cloudera?

- [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment
- [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for)
- [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for)
- [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for)
- [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for)

### [Azure Data Lake Analytics](https://www.g2.com/products/azure-data-lake-analytics/reviews)

Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

**Average Rating:** 4.2/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Azure Data Lake Analytics?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 7.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.1/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Azure Data Lake Analytics?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 54% Large, 27% Medium

#### What Are Recent G2 Reviews of Azure Data Lake Analytics?

**["Great service to manage your big data needs"](https://www.g2.com/survey_responses/azure-data-lake-analytics-review-5253914)**

**Rating:** 4.5/5.0 stars

_— Abhishek C._

[Read full review](https://www.g2.com/survey_responses/azure-data-lake-analytics-review-5253914)

**["The power house of data management"](https://www.g2.com/survey_responses/azure-data-lake-analytics-review-7674920)**

**Rating:** 5.0/5.0 stars

_— Sam L._

[Read full review](https://www.g2.com/survey_responses/azure-data-lake-analytics-review-7674920)

#### What Are G2 Users Discussing About Azure Data Lake Analytics?

- [What is Azure Data Lake Analytics used for?](https://www.g2.com/discussions/what-is-azure-data-lake-analytics-used-for)
- [How do I make Azure Data Lake Analytics?](https://www.g2.com/discussions/how-do-i-make-azure-data-lake-analytics)
- [What is Azure Data lake and stream analytics tools?](https://www.g2.com/discussions/what-is-azure-data-lake-and-stream-analytics-tools)
- [What are the key capabilities of Microsoft Azure Data Lake Analytics?](https://www.g2.com/discussions/what-are-the-key-capabilities-of-microsoft-azure-data-lake-analytics)
- [What is Azure Data Lake Analytics?](https://www.g2.com/discussions/what-is-azure-data-lake-analytics)

### [MATLAB](https://www.g2.com/products/matlab/reviews)

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.

**Average Rating:** 4.5/5.0

**Total Reviews:** 753

#### How Do G2 Users Rate MATLAB?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.4/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.7/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MATLAB?

- **Seller:** [MathWorks](https://www.g2.com/sellers/mathworks)
- **Year Founded:** 1984
- **HQ Location:** Natick, MA
- **Twitter:** @MATLAB  
105,142 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6dbb518e9679f4f3158244b1c49a1caf60257ab06a669303d999c534715b2674&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1194036%2F&secure%5Burl_type%5D=linkedin_company_website)  
7,985 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Graduate Research Assistant
- **Top Industries:** Higher Education, Research
- **Company Size:** 42% Large, 31% Small

#### What Do G2 Reviewers Say About MATLAB?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **user-friendly interface** of MATLAB, making data visualization and manipulation easy and efficient.
- Users appreciate the **powerful visualization tools** of MATLAB, enhancing real-time data plotting and image processing capabilities.
- Users appreciate the **powerful and user-friendly data visualization** features of MATLAB for real-time plotting.
- Users appreciate the **variety of tools** in MATLAB, enhancing capabilities in numerical analysis, image processing, and simulations.
- Users appreciate the **ease of simulations** with MATLAB, especially with its seamless integration of Simulink for diverse applications.

##### Cons

- Users find MATLAB to be **expensive** , making it difficult for individuals and small companies to afford.
- Users often experience **slow performance** with MATLAB, especially on less powerful machines or with large datasets.
- Users find MATLAB's **high system requirements** frustrating, often leading to slower performance on less powerful machines.
- Users find the **expensive licensing** of MATLAB a significant barrier, particularly for individuals and small companies.
- Users frequently encounter **lagging performance** with MATLAB, especially during large simulations and with multiple scripts open.

#### What Are Recent G2 Reviews of MATLAB?

**["User-Friendly MATLAB with Top-Tier UI, Tools, and Simulation Performance"](https://www.g2.com/survey_responses/matlab-review-12675291)**

**Rating:** 5.0/5.0 stars

_— Verified User in Higher Education_

[Read full review](https://www.g2.com/survey_responses/matlab-review-12675291)

**["A Robust Powerhouse for Advanced Engineering Simulations and Modeling"](https://www.g2.com/survey_responses/matlab-review-12689149)**

**Rating:** 4.0/5.0 stars

_— Wafa M._

[Read full review](https://www.g2.com/survey_responses/matlab-review-12689149)

#### What Are G2 Users Discussing About MATLAB?

- [What is MATLAB used for?](https://www.g2.com/discussions/what-is-matlab-used-for) - 1 comment
- [Can I use Matlab for free?](https://www.g2.com/discussions/can-i-use-matlab-for-free) - 3 comments
- [What is Matlab written in?](https://www.g2.com/discussions/what-is-matlab-written-in) - 1 comment
- [Is Matlab a programming language or software?](https://www.g2.com/discussions/is-matlab-a-programming-language-or-software) - 1 comment
- [What is Matlab software used for?](https://www.g2.com/discussions/what-is-matlab-software-used-for) - 1 comment

### [IBM Cloud Pak for Data](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews)

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1\_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1\_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial

**Average Rating:** 4.3/5.0

**Total Reviews:** 71

#### How Do G2 Users Rate IBM Cloud Pak for Data?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.1/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.5/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Cloud Pak for Data?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 52% Large, 27% Small

#### What Are Recent G2 Reviews of IBM Cloud Pak for Data?

**["Unified Data Integration and Governance for Analytics and AI on OpenShift"](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-13089210)**

**Rating:** 4.5/5.0 stars

_— Aleksander M._

[Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-13089210)

**["Comprehensive solution for data-intensive workflows"](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-12967373)**

**Rating:** 4.5/5.0 stars

_— Amr a._

[Read full review](https://www.g2.com/survey_responses/ibm-cloud-pak-for-data-review-12967373)

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[Browse Big Data Analytics Themes](/categories/big-data-analytics/themes)

Benefits of Big Data Analytics Software with Data Lake capabilities include: Facilitates the dissemination of collected big data throughout parallel computing clusters.

Below are the top-rated Big Data Analytics Software with Data Lake capabilities, as verified by G2’s Research team. Real users have identified Data Lake as an important function of Big Data Analytics Software. Compare different products that offer this feature so you can decide which is best for your business needs.

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/databricks/reviews)[Databricks](https://www.g2.com/products/databricks/reviews)[4.6/5(1,362)](https://www.g2.com/products/databricks/reviews) | Unified lakehouse ETL, analytics, and ML pipelines | "Databricks Streamlines ETL and Analytics with Scalable Notebooks" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-bigquery/reviews)[BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)[4.5/5(1,223)](https://www.g2.com/products/google-cloud-bigquery/reviews) | Serverless SQL analytics on petabyte-scale datasets | "Easy-to-Use Cloud Tool with Shareable, Saved Queries" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")](https://www.g2.com/products/snowflake/reviews)[Snowflake](https://www.g2.com/products/snowflake/reviews)[4.6/5(764)](https://www.g2.com/products/snowflake/reviews) | Elastic multi-workload analytics with zero-infrastructure overhead | "Snowflake Simplifies Data Management at Scale" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-data.jpg "Product Avatar Image")](https://www.g2.com/products/ibm-watsonx-data/reviews)[IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)[4.4/5(174)](https://www.g2.com/products/ibm-watsonx-data/reviews) | Federated lakehouse querying across hybrid data environments | "Powerful and Flexible Data Management for AI and Analytics" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_13aba37ae908d9cf29a2452925257ccc/azure-databricks.jpeg "Product Avatar Image")](https://www.g2.com/products/azure-databricks/reviews)[Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)[4.5/5(239)](https://www.g2.com/products/azure-databricks/reviews) | Unified Spark-native lakehouse ETL and ML | "Balancing Performance and Complexity in Azure Databricks" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")](https://www.g2.com/products/alteryx/reviews)[Alteryx](https://www.g2.com/products/alteryx/reviews)[4.6/5(895)](https://www.g2.com/products/alteryx/reviews) | No-code ETL and multi-source data blending | "Scales Operations and Saves Time with Automated Data Workflows" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_370c360364dc3d4f1f97e00cc7534fb5/kyvos-semantic-layer.png "Product Avatar Image")](https://www.g2.com/products/kyvos-semantic-layer/reviews)[Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews)[4.8/5(288)](https://www.g2.com/products/kyvos-semantic-layer/reviews) | Sub-second OLAP querying on cloud-scale datasets | "Kyvos Semantic Layer Boosts AI Accuracy with Business-Ready Data" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_756e21e5ff45db664431b3ea10f16115/azure-synapse-analytics.jpg "Product Avatar Image")](https://www.g2.com/products/azure-synapse-analytics/reviews)[Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews)[4.4/5(38)](https://www.g2.com/products/azure-synapse-analytics/reviews) | Unified ETL and big data warehousing on Azure | "Unified Analytics Platform with Seamless Azure Integration" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_791b528c516cc1b08151fa6da3988161/dataiku.png "Product Avatar Image")](https://www.g2.com/products/dataiku/reviews)[Dataiku](https://www.g2.com/products/dataiku/reviews)[4.4/5(229)](https://www.g2.com/products/dataiku/reviews) | End-to-end ML pipelines with low-code collaboration | "Straightforward Visual ML Workflows with Flexible Python and SQL Options" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_91bcb2c063fcfb0a82dfedcf1a6463d1/splunk-enterprise.jpg "Product Avatar Image")](https://www.g2.com/products/splunk-enterprise/reviews)[Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)[4.3/5(434)](https://www.g2.com/products/splunk-enterprise/reviews) | Cross-source log correlation and security analytics | "Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure" |

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