# Best Big Data Analytics Software for Medium-Sized Businesses

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

**Total Products under this Category:** 110

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Datacoves (+0.27%) - Among all products in this category, Datacoves recorded the largest rating increase compared to last month

_Last updated: August 07, 2026_

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

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

- 30 Analysts and Data Experts
- 8,400+ Authentic Reviews
- 110+ 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=10938&focus%5B%5D=6073&focus%5B%5D=1308796&focus%5B%5D=67962&focus%5B%5D=27024&focus%5B%5D=52199&focus%5B%5D=6058)

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

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

**Sponsored**

### Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

[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=2026-08-15T07%3A36%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=10898&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%2Fmid-market&secure%5Btoken%5D=17e936dd0c1c337a6e988b36ae5a4874a5760e3ee81fadaaa16fc910cb698dcb&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Fredshift%2F%3Ftrk%3Dde302eb2-ad94-4a9b-8ef9-3610f836bf6a%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url)

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

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,337

#### How Do G2 Users Rate Databricks?

- **Has the product been a good partner in doing business?:** 8.9/10 (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:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Large, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

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

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

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

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [Snowflake](https://www.g2.com/products/snowflake/reviews)

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

**Average Rating:** 4.5/5.0

**Total Reviews:** 713

#### How Do G2 Users Rate Snowflake?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.1/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.2/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Snowflake?

- **Seller:** [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)
- **Company Website:** www.snowflake.com
- **Year Founded:** 2012
- **HQ Location:** 135 Constitution Drive, Menlo Park CA
- **Twitter:** @SnowflakeDB  
278 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ad18ff73a9b8bb34dd1b98a6ba1c6be57f7364939ad352612ecc483aba05d2b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsnowflake-computing%2F&secure%5Burl_type%5D=linkedin_company_website)  
11,308 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Medium, 43% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Snowflake, finding it fast and effective for data sharing and analytics.
- Users value the **reliable features** of Snowflake, enjoying its intuitive interface and seamless data integration for analytics.
- Users find Snowflake's **data management capabilities** excellent for efficiently aggregating and querying across multiple datasets.
- Users admire the **seamless scalability** of Snowflake, effortlessly accommodating work demands and ensuring optimal performance.
- Users appreciate the **fast data analysis** of Snowflake, enabling quick insights without infrastructure worries.

##### Cons

- Users find Snowflake's **high costs** burdensome, especially for small businesses with limited budgets.
- Users find **feature limitations** in Snowflake, such as lack of code blocks and challenge in permissions management.
- Users find that **cost management** requires discipline, as unexpected charges can accumulate quickly without careful monitoring.
- Users find the **cost structure difficult to optimize** , leading to unexpectedly high initial expenses during implementation.
- Users find Snowflake's **limited features** in dynamic scripts and monitoring hinder flexibility and usability.

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

**["Elastic Scaling and Fast Analytics with Snowflake"](https://www.g2.com/survey_responses/snowflake-review-13129003)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-13129003)

**["Snowflake Simplifies Data Management at Scale"](https://www.g2.com/survey_responses/snowflake-review-12898129)**

**Rating:** 4.0/5.0 stars

_— Harshil A._

[Read full review](https://www.g2.com/survey_responses/snowflake-review-12898129)

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

- [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote

### [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,145

#### How Do G2 Users Rate Google Cloud BigQuery?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.7/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.8/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Google Cloud BigQuery?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Large, 35% Medium

#### What Do G2 Reviewers Say About Google Cloud BigQuery?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Google Cloud BigQuery, enabling quick analysis of massive datasets without hassle.
- Users appreciate the **exceptional speed** of BigQuery, allowing for quick processing of large datasets seamlessly.
- Users love the **easy integration** with Google Cloud services, enabling smooth data analysis and management.
- Users appreciate the **fast querying capabilities** of Google Cloud BigQuery, allowing effortless analysis of massive datasets.
- Users appreciate the **query efficiency** of BigQuery, effortlessly processing complex queries on massive datasets with speed.

##### Cons

- Users find the **costs can escalate quickly** with Google Cloud BigQuery, requiring careful query optimization to manage expenses.
- Users struggle with **query issues** in BigQuery, facing rising costs and challenges in query optimization and troubleshooting.
- Users find **cost management challenging** with Google Cloud BigQuery due to unpredictable pricing and incidents of unexpected charges.
- Users experience **cost issues** with Google Cloud BigQuery, struggling with unexpected high bills and limited pricing visibility.
- Users find the **steep learning curve** of Google Cloud BigQuery challenging, particularly for advanced features and optimization techniques.

#### What Are Recent G2 Reviews of Google Cloud BigQuery?

**["Easy-to-Use Cloud Tool with Shareable, Saved Queries"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)**

**Rating:** 4.0/5.0 stars

_— Reetika P._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)

**["Scalable, Secure BigQuery That Connects Seamlessly Across Services"](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)**

**Rating:** 5.0/5.0 stars

_— Aayush M._

[Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)

#### What Are G2 Users Discussing About Google Cloud BigQuery?

- [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote
- [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes
- [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment
- [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment

### [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews)

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data\_Trial

**Average Rating:** 4.4/5.0

**Total Reviews:** 168

#### How Do G2 Users Rate IBM watsonx.data?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.6/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 7.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM watsonx.data?

- **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, CEO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 34% Small, 32% Large

#### What Do G2 Reviewers Say About IBM watsonx.data?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM watsonx.data, finding it reliable and efficient for data management tasks.
- Users value the **organized data integration** and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics.
- Users value the **organized and efficient data management** of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly.
- Users value the **seamless data source integration** in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects.
- Users value the **ability to unify data across hybrid environments** , enhancing flexibility and driving informed decision-making.

##### Cons

- Users find the **learning curve steep** , making initial setup and navigation challenging for newcomers to IBM watsonx.data.
- Users find the **complexity** of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies.
- Users find the **pricing steep** for IBM watsonx.data, making it less accessible for smaller businesses and projects.
- Users find the **difficult setup** of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations.
- Users find IBM watsonx.data **difficult to navigate** , especially for beginners and those unfamiliar with AI and data analytics.

#### What Are Recent G2 Reviews of IBM watsonx.data?

**["Flexible and Scalable Data Platform for Analytics and AI"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034)**

**Rating:** 5.0/5.0 stars

_— Nishant V._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13229034)

**["Clean, Smooth UI with Excellent Onboarding and Infrastructure Visuals"](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)**

**Rating:** 4.0/5.0 stars

_— Aliasgar B._

[Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-13204444)

### [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 find Azure Databricks to be **very easy to use and implement** , enhancing their development experience significantly.
- Users value the **rich feature set** of Azure Databricks, highlighting its excellent integration and support for multiple languages.
- Users value the **seamless integrations** of Azure Databricks with Azure services, enhancing efficiency and simplifying workflows.
- Users benefit from the **impressive speed** of Azure Databricks for large-scale data processing and implementation.
- Users value the **efficiency of analytics** in Azure Databricks, enabling streamlined data processing and insights generation.

##### Cons

- Users find Azure Databricks' **complexity** challenging, particularly during initial setup and cluster management.
- Users find the **difficult setup** of Azure Databricks challenging, making initial configuration a complex process.
- Users experience a **steep learning curve** with Azure Databricks, finding it challenging while adapting to its complexity.
- Users experience **slow performance** with Azure Databricks, particularly during cluster startup and parallel processing tasks.
- Users often find **unclear pricing** for Azure Databricks, as costs can escalate quickly without proper monitoring.

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

**["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)

**["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)

#### 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)

### [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews)

Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. Why Organizations Use Kyvos Unified Semantic Foundation for AI and BI Kyvos semantic layer standardizes how metrics, KPIs, dimensions, hierarchies, relationships, calculations, and business rules are modelled across the enterprise — so that dashboards, analytics tools, notebooks, and AI systems all operate on the same understanding of the business. Kyvos enables: - Shared semantics — one common data language across every tool, team, and system - Governed access — data exploration within defined security, role, and permission boundaries - Platform interoperability — consistent semantic context across diverse platforms and environments - AI readiness — LLMs and agents work with governed business semantics rather than raw tables or ambiguous schema AI Grounded in Business Context Kyvos grounds AI systems in the governed semantic model, ensuring they operate on established business context rather than raw schemas — improving the accuracy, traceability, and reliability of AI-generated insights. Consistent Metrics Across BI Tools Kyvos centralizes metric and KPI definitions in the semantic layer and applies them consistently across every analytics interface — eliminating metric drift and improving trust in analytics. High-Performance Analytics at Scale Kyvos delivers high-performance analytics that scale with demand, enabling: - Sub-second query performance across massive datasets - High concurrency across thousands of users and workloads - Consistent response times regardless of data volume or concurrency - No performance degradation as adoption grows - Multidimensional Analytics on the Cloud Kyvos enables deep multidimensional analytics, supporting: - Granular analysis across billions of rows - Thousands of measures and dimensions in a single model - Fast drill-down across complex hierarchies - Full analytical depth without sacrificing query speed Cloud Cost Efficiency Kyvos serves analytics through its semantic layer rather than routing every query to the warehouse — reducing compute consumption across analytics and AI workloads. As adoption grows, organizations can scale users, workloads, and analytical complexity without a corresponding rise in warehouse compute costs.

**Average Rating:** 4.8/5.0

**Total Reviews:** 267

#### How Do G2 Users Rate Kyvos Semantic Layer?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.2/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 10.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Kyvos Semantic Layer?

- **Seller:** [Kyvos Insights](https://www.g2.com/sellers/kyvos-insights)
- **Company Website:** www.kyvosinsights.com
- **Year Founded:** 2014
- **HQ Location:** Los Gatos, CA
- **Twitter:** @KyvosInsights  
689 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=900350c47a6a807c4765a28f52dcdbf3c06a5325a45d905c54e56a79e545cf9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkyvos-insights-inc-%2F&secure%5Burl_type%5D=linkedin_company_website)  
152 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 38% Large

#### What Do G2 Reviewers Say About Kyvos Semantic Layer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Kyvos, enabling quick insights and a user-friendly experience for complex data.
- Users love the **speed** of Kyvos for real-time insights, enabling quick queries and faster decision-making across data metrics.
- Users value the **exceptional performance** of Kyvos for quickly analyzing large datasets and delivering timely insights.
- Users admire the **lightning-fast analytics** of Kyvos Semantic Layer, enhancing performance and visualization of large datasets.
- Users value the **fast querying capabilities** of Kyvos Semantic Layer, enabling quick analysis of large transaction datasets.

##### Cons

- Users find the **learning curve steep** for advanced features and MDX queries, which can slow down usage efforts.
- Users find the **difficult setup** of Kyvos Semantic Layer challenging, though support helps ease the process.
- Users find the **initial setup and MDX complexity** challenging, though support helps ease the deployment process.
- Users note the **feature limitations** of Kyvos, especially lacking advanced analytics and integration for seamless data exploration.
- Users experience **connectivity issues** , as initial integration with existing systems can be time-consuming.

#### What Are Recent G2 Reviews of Kyvos Semantic Layer?

**["Fast, Consistent Data Exploration Across Dimensions with Kyvos Semantic Layer"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)**

**Rating:** 5.0/5.0 stars

_— ashish r._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)

**["Kyvos Semantic Layer Boosts AI Accuracy with Business-Ready Data"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)**

**Rating:** 5.0/5.0 stars

_— Nikhil K._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)

### [Azure Synapse Analytics](https://www.g2.com/products/azure-synapse-analytics/reviews)

Azure Synapse Analytics is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 37

#### How Do G2 Users Rate Azure Synapse Analytics?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.9/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Azure Synapse 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
- **Company Size:** 45% Medium, 32% Large

#### What Do G2 Reviewers Say About Azure Synapse Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users laud the **unified analytics experience** of Azure Synapse Analytics, enhancing efficiency and simplifying complex data processes.
- Users value the **automation capabilities** of Azure Synapse Analytics, enhancing efficiency in data analytics solutions.
- Users appreciate the **seamless cloud integration** of Azure Synapse Analytics, enhancing data workflows and overall efficiency.
- Users value the **cost-effective** capabilities of Azure Synapse Analytics, enjoying scalable solutions without high expenditures.
- Users appreciate the **seamless data integration** capabilities of Azure Synapse Analytics, enhancing efficiency and simplifying analytics solutions.

##### Cons

- Users find the **cost estimation process complex** due to difficulties in monitoring and optimizing various service components.
- Users face challenges with **cost management** , struggling with optimization and monitoring across various Azure Synapse components.
- Users face challenges with **debugging complex pipeline failures** due to a lack of detailed error transparency, increasing troubleshooting time.
- Users face **difficult debugging** due to a steep learning curve and lack of detailed error transparency during pipeline failures.
- Users find Azure Synapse Analytics **expensive** , especially when managing costs across multiple services and queries.

#### What Are Recent G2 Reviews of Azure Synapse Analytics?

**["Unified Data Warehousing and Big Data in One Powerful Platform"](https://www.g2.com/survey_responses/azure-synapse-analytics-review-12435130)**

**Rating:** 4.5/5.0 stars

_— Daniel H._

[Read full review](https://www.g2.com/survey_responses/azure-synapse-analytics-review-12435130)

**["Unified Analytics Platform with Seamless Azure Integration"](https://www.g2.com/survey_responses/azure-synapse-analytics-review-12353239)**

**Rating:** 4.0/5.0 stars

_— Ashish D._

[Read full review](https://www.g2.com/survey_responses/azure-synapse-analytics-review-12353239)

#### What Are G2 Users Discussing About Azure Synapse Analytics?

- [Does Azure Synapse include Analysis Services?](https://www.g2.com/discussions/does-azure-synapse-include-analysis-services)
- [When should use Azure synapse analytics?](https://www.g2.com/discussions/when-should-use-azure-synapse-analytics)
- [What are advantages of Azure synapse analytics?](https://www.g2.com/discussions/what-are-advantages-of-azure-synapse-analytics)
- [What is included in Azure synapse analytics?](https://www.g2.com/discussions/what-is-included-in-azure-synapse-analytics)

### [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

**Average Rating:** 4.3/5.0

**Total Reviews:** 356

#### How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 7.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.2/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Teradata Autonomous Knowledge Platform?

- **Seller:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)
- **Year Founded:** 1979
- **HQ Location:** San Diego, CA
- **Twitter:** @Teradata  
93,113 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06895b9a8db4fa478ba7da480ccd214a14ef698abd028e4642e62f189e82b650&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1466%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,941 employees on LinkedIn®
- **Ownership:** NYSE:TDC

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 69% Large, 22% Medium

#### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **extreme performance** of the Teradata Autonomous Knowledge Platform, especially for processing large data volumes efficiently.
- Users value the **high performance query execution** in Teradata, enhancing their business analytics capabilities significantly.
- Users value the **scalability** of Teradata Autonomous Knowledge Platform, enhancing data integration and operational efficiency significantly.
- Users commend the **high performance and speed** of Teradata, efficiently processing large datasets without issues.
- Users value the **fast processing of large datasets** with Teradata, praising its performance and stability during operations.

##### Cons

- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, impacting adoption and productivity temporarily.
- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, particularly for those lacking technical expertise.
- Users find the **complexity** of Teradata's platform challenging, particularly for non-technical users and new adopters.
- Users express concerns over the **cost management requirements** needed to avoid potential misusage and performance issues.
- Users feel the **high cost** of Teradata Autonomous Knowledge Platform is a significant drawback affecting accessibility.

#### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

**["Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)

**["Teradata Vantage Excels at Big Data Processing and Advanced Analytics"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)**

**Rating:** 4.5/5.0 stars

_— Nijat I._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)

#### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

- [What does Teradata Data Lab do?](https://www.g2.com/discussions/what-does-teradata-data-lab-do)
- [Is Teradata a premiership?](https://www.g2.com/discussions/is-teradata-a-premiership)
- [What is Teradata Vantage?](https://www.g2.com/discussions/what-is-teradata-vantage)
- [How much does Teradata cost?](https://www.g2.com/discussions/how-much-does-teradata-cost)
- [What is Sandbox in Teradata?](https://www.g2.com/discussions/what-is-sandbox-in-teradata)

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

**Average Rating:** 4.6/5.0

**Total Reviews:** 861

#### How Do G2 Users Rate Alteryx?

- **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:** 8.4/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Alteryx, finding it user-friendly and efficient for non-technical users.
- Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis.
- Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient.
- Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience.
- Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding.

##### Cons

- Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups.
- Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly.
- Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility.
- Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners.
- Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx.

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

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

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

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

**Average Rating:** 4.7/5.0

**Total Reviews:** 208

#### How Do G2 Users Rate dbt?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.5/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.5/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind dbt?

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran  
5,767 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,848 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Analytics Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Medium, 27% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of dbt, thanks to its clear structure, intuitive documentation, and seamless integration.
- Users value dbt for its **integration of software engineering best practices** , enhancing maintainability and collaboration in SQL transformations.
- Users value the **automation** features of dbt, significantly enhancing SQL code maintainability and transforming data workflows.
- Users value the **transformative power** of dbt, efficiently organizing and modeling data for actionable insights.
- Users value dbt for its **high data quality** , ensuring integrity and enhancing analytics workflows through modularization and documentation.

##### Cons

- Users face challenges with **limited functionality** in dbt due to rigid models and debugging difficulties, affecting project progress.
- Users often face **dependency issues** with dbt, leading to time-consuming troubleshooting and disruption in workflows.
- Users find the **steep learning curve** of mastering concepts like Jinja and Git to be quite challenging.
- Users struggle with **unhelpful error messages** in dbt, making troubleshooting difficult and frustrating.
- Users face **confusing error reporting** that complicates troubleshooting and hinders quick identification of issues.

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

**["dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features"](https://www.g2.com/survey_responses/dbt-review-12712114)**

**Rating:** 5.0/5.0 stars

_— Hithesh P._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12712114)

**["Simple SQL-Driven Materializations with Powerful Lineage"](https://www.g2.com/survey_responses/dbt-review-12985641)**

**Rating:** 5.0/5.0 stars

_— Anish G._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12985641)

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

- [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments
- [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments
- [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment
- [What is DBT tool used for?](https://www.g2.com/discussions/what-is-dbt-tool-used-for) - 2 comments

### [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)

### [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)
- **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?

- **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 cloud services, enhancing their experience with Kafka and Flink.
- Users appreciate the **effortless real-time data integration** through Confluent's managed cloud services, enhancing their workflow significantly.
- Users appreciate the **wide range of connectors** in Confluent, simplifying real-time data integration and enhancing productivity.
- Users appreciate the **simplified real-time data integration** with Confluent, benefiting from its managed cloud services and wide connectors.
- Users appreciate the **ease of use** of Confluent, making data integration and stream processing effortless and efficient.

##### Cons

- Users note that the **cost estimation can be high** as data volume increases, requiring time to learn the system.
- Users find Confluent to be **expensive** as costs rise with data volume and features are limited in lower editions.
- Users face a **steep learning curve** with Confluent, alongside rising costs as data volume increases.
- Users find a **lack of features** in Confluent, especially with essential tools restricted to the Enterprise edition.
- Users find the **steep learning curve** challenging, requiring significant time to grasp Confluent's workflow and features.

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

**["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)

**["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)

#### 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)

### [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:** 751

#### 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 find MATLAB's **ease of use** remarkable, enabling intuitive data analysis, visualization, and application development seamlessly.
- Users admire MATLAB for its **powerful data analysis and visualization tools** , enabling impactful and professional presentation of results.
- Users highlight MATLAB's **excellent visualization tools** , allowing for clear and professional presentations of complex data.
- Users value the **rich variety of toolboxes** in MATLAB, enhancing efficiency and confidence in their engineering tasks.
- Users appreciate MATLAB for its **powerful simulation capabilities** and seamless transition from ideas to practical solutions.

##### Cons

- Users find MATLAB to be **expensive** , particularly due to high licensing costs and additional toolboxes for functionality.
- Users experience **slow performance** with MATLAB, particularly on less powerful machines, impacting their productivity during complex tasks.
- Users note the **high system requirements** of MATLAB, leading to slower performance on less powerful machines.
- Users struggle with **expensive licensing** costs for MATLAB, posing a barrier for individuals and small companies.
- Users experience **lagging performance** during high resource usage, affecting efficiency and requiring improvements for better usability.

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

**["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)

**["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)

#### 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

### [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)

Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 415

#### How Do G2 Users Rate Splunk Enterprise?

- **Has the product been a good partner in doing business?:** 8.7/10 (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:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Splunk Enterprise?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 64% Large, 27% Medium

#### What Do G2 Reviewers Say About Splunk Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **innovation** of Splunk Enterprise, appreciating its user-friendly features and powerful analytics capabilities.
- Users value the **customization features** of Splunk Enterprise, enabling tailored insights and dynamic dashboards for effective monitoring.
- Users commend the **ease of use** of Splunk Enterprise, enhancing effective monitoring and quick issue resolution.
- Users value the **efficient log management** capabilities of Splunk Enterprise for accurate analysis and insights.
- Users value the **powerful reporting features** of Splunk Enterprise, enhancing data analysis and visualization capabilities significantly.

##### Cons

- Users find Splunk Enterprise to be **expensive** , especially as data volumes grow, impacting smaller teams' operations.
- Users face a **steep learning curve** with Splunk Enterprise, which can hinder quick mastery of its features.
- Users highlight the **expensive licensing** of Splunk Enterprise, making it difficult for some companies to adopt.
- Users face **integration issues** with Splunk Enterprise, requiring better add-ons and simpler architecture for easier deployment.
- Users feel that Splunk Enterprise has **missing features** , lacking important add-ons and more flexible data onboarding options.

#### What Are Recent G2 Reviews of Splunk Enterprise?

**["Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure"](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)**

**Rating:** 4.5/5.0 stars

_— RaviShankar S._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)

**["SPL search and dashboards are really useful"](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)**

**Rating:** 4.0/5.0 stars

_— Nishith J._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)

#### What Are G2 Users Discussing About Splunk Enterprise?

- [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment
- [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment
- [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment
- [Which apps ship with Splunk Enterprise?](https://www.g2.com/discussions/which-apps-ship-with-splunk-enterprise) - 1 comment
- [What does Splunk Enterprise do?](https://www.g2.com/discussions/what-does-splunk-enterprise-do) - 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:** 72

#### 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:** 51% Large, 28% Small

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

**["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)

**["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)

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