# Best Big Data Analytics Software - Page 2

## 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=6073&focus%5B%5D=10938&focus%5B%5D=1308796&focus%5B%5D=989&focus%5B%5D=67962&focus%5B%5D=27024&focus%5B%5D=52199)

Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, IBM watsonx.data, Alteryx, Azure Databricks, 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=alteryx&focus%5B%5D=azure-databricks&focus%5B%5D=kyvos-semantic-layer&focus%5B%5D=azure-synapse-analytics)

**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=2026-08-12T20%3A36%3A37Z&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%3FhsCtaTracking%3D8aeaad66-5907-4f98-a0db-56234be3c3d8%257C913d469b-9a00-4dc4-95a9-5bef28f90d21%26page%3D2&secure%5Btoken%5D=4af0c7908837eb7fd118a43dbd9d5223c513c44a13a6d13d9bf9d4e0101dc64c&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)

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

Exasol is the world’s ​most powerful Analytics Engine, ​purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio​. **In-memory architecture** Want to process 3 billion rows in 3 seconds, not 3 hours? Exasol manages memory cache automatically, only bringing what's needed into the database for dramatically faster access times. **Automatic query tuning** Enjoy optimized performance while minimizing data administration overhead. Exasol uses intelligent, proprietary algorithms to self-tune queries on the fly -- adding and removing indices automatically – so you can bring true self-service BI to your organization. **User defined functions (UDF)** When you need more than a SQL statement, UDF scripts allow you to program your own analysis. Take your unique machine learning and data ingest scripts written in Python, R, and Lua, and run them in our database engine. Through UDF scripts, you'll get a highly flexible interface for nearly every requirement, allowing you to bring in data quickly from wherever it lives. In addition to being the fastest, Exasol also leads in the TPC price-performance metrics, meaning everyone in your organization can take advantage of unrivaled in-memory speed at a low price. And, unlike our competitors, Exasol allows you to choose the deployment destination. Deploy in the cloud, on-premises, or hybrid to meet your organization's unique needs and preferred vendors.

**Average Rating:** 4.7/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate EXASOL?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.2/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.6/10 (Category avg: 8.5/10)
- **Data Workflow:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind EXASOL?

- **Seller:** [EXASOL](https://www.g2.com/sellers/exasol)
- **Year Founded:** 2000
- **HQ Location:** Nurnberg, Bayern
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f454f608de516019469be7b2704309ce426ac7502a280b0c960a3744d2bc3101&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1741694%2F&secure%5Burl_type%5D=linkedin_company_website)  
213 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 39% Large, 32% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users rave about the **unparalleled query performance** of EXASOL, achieving results in less than one second.
- Users rave about **unmatched query efficiency** in EXASOL, executing complex queries on billions of rows in under a second.
- Users value the **unparalleled query performance** of EXASOL, enhancing their analytical workloads significantly.
- Users value the **cost-effective performance** of EXASOL, as it requires minimal administrative effort.
- Users praise the **fast and competent customer support** of EXASOL, enhancing their overall experience and satisfaction.

##### Cons

- Users find the **complexity in query optimization** can lead to ineffective execution, impacting performance despite potential workarounds.
- Users find the lack of a good debugger in EXASOL a significant issue, particularly struggling with **setting code breakpoints**.
- Users find the **difficult setup** of EXASOL cumbersome due to numerous steps and DBA involvement for upgrades.
- Users find the **limited visualization** capabilities require extensive setup and effort compared to other databases.
- Users report occasional **performance issues** with Exasol's optimizer, affecting the execution of complex queries, though workarounds exist.

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

**["Light-Speed Performance and Superior Support"](https://www.g2.com/survey_responses/exasol-review-12457642)**

**Rating:** 5.0/5.0 stars

_— Björn B._

[Read full review](https://www.g2.com/survey_responses/exasol-review-12457642)

**["Fast, Powerful Analytical Tool"](https://www.g2.com/survey_responses/exasol-review-12460146)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer & Network Security_

[Read full review](https://www.g2.com/survey_responses/exasol-review-12460146)

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

- [How do you use Exasol?](https://www.g2.com/discussions/how-do-you-use-exasol) - 1 comment
- [What are the features of Exasol?](https://www.g2.com/discussions/what-are-the-features-of-exasol)
- [Does Exasol use SQL?](https://www.g2.com/discussions/does-exasol-use-sql)
- [What does Exasol do?](https://www.g2.com/discussions/what-does-exasol-do)

### [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?

**["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

### [ILUM](https://www.g2.com/products/ilum-ilum/reviews)

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.

**Average Rating:** 4.9/5.0

**Total Reviews:** 23

#### How Do G2 Users Rate ILUM?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 10.0/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 10.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ILUM?

- **Seller:** [Ilum](https://www.g2.com/sellers/ilum)
- **Company Website:** ilum.cloud
- **Year Founded:** 2019
- **HQ Location:** Santa Fe, US
- **Twitter:** @IlumCloud  
19 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1fbd1d37d0b9f349ede11be8e26481a08073e5b7f53b306080db734d9789f8fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Filum-cloud%2F&secure%5Burl_type%5D=linkedin_company_website)  
4 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Telecommunications
- **Company Size:** 52% Large, 35% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of ILUM, enjoying seamless integration and a smooth workflow for managing data.
- Users value the **seamless integration** of ILUM with existing systems, enhancing efficiency in data management and analytics.
- Users appreciate the **seamless integrations** of ILUM, enhancing data management and analytics with a unified, efficient platform.
- Users value the **quick and seamless setup** of ILUM, appreciating its ease of integration and efficiency.
- Users appreciate the **easy integrations** of ILUM, smoothly fitting into existing systems without major rewrites.

##### Cons

- Users find the **complex setup** for advanced configurations of ILUM can be challenging for newcomers to navigate.
- Users find the **difficult setup** process of ILUM challenging, requiring significant effort and experimentation to optimize configurations.
- Users find the **learning curve steep** for advanced features in ILUM, requiring time to adapt and configure settings.
- Users note that **UI improvements** are needed for easier access to advanced settings and configurations in ILUM.
- Users find some aspects of ILUM's setup **complex and unintuitive** , requiring considerable effort to configure effectively.

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

**["From Hadoop to K8s with lower TCO"](https://www.g2.com/survey_responses/ilum-review-11862422)**

**Rating:** 5.0/5.0 stars

_— Mark D._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11862422)

**["Seamless Integration and Unified Features for Advanced Users"](https://www.g2.com/survey_responses/ilum-review-11904273)**

**Rating:** 5.0/5.0 stars

_— Jan L._

[Read full review](https://www.g2.com/survey_responses/ilum-review-11904273)

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

Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second. Dremio’s Agentic Lakehouse autonomously manages itself, removing undifferentiated management tasks, allowing engineers to focus on initiatives that drive business results. Dremio’s agentic lakehouse automatically optimizes queries, reorganizes data, and maintains performance at any scale. Dremio is trusted by thousands of global enterprises including Shell, TD Bank, and Michelin, and built on open standards. Dremio co-created Apache Polaris and Apache Arrow, and it's the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow.

**Average Rating:** 4.6/5.0

**Total Reviews:** 65

#### How Do G2 Users Rate Dremio?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Dremio?

- **Seller:** [Dremio](https://www.g2.com/sellers/dremio)
- **Year Founded:** 2015
- **HQ Location:** Santa Clara, California
- **Twitter:** @dremio  
5,112 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=69ad9580be02795c06f73dc00556a9c4aa0acb9aa5cce310d34ccd1e0c10cc44&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdremio%2F&secure%5Burl_type%5D=linkedin_company_website)  
370 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 49% Large, 39% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Dremio's **ease of use** exceptional, enabling quick data sharing and seamless integration with multiple tools.
- Users appreciate the **seamless integrations** of Dremio with tools like Power BI and Tableau for efficient data management.
- Users value the **exceptional performance** of Dremio for accelerating query speed and facilitating efficient data workflows.
- Users value the **SQL support** in Dremio, enhancing data connectivity and integration with various analytics platforms.
- Users appreciate the **advanced data management capabilities** of Dremio, enhancing data collection and analysis across various platforms.

##### Cons

- Users find the **initial setup complicated** and experience a steep learning curve that hampers their productivity.
- Users report that **customer support can be slow** , leading to delays in resolving issues and frustration.
- Users note a **steep learning curve** with Dremio, making setup and feature understanding challenging for beginners.
- Users find the **difficult setup** of Dremio challenging and time-consuming, often requiring external resources for assistance.
- Users feel that the **documentation is poor** , often forcing them to seek help outside the provided resources.

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

**["Evaluating Dremio for Enterprise Data Analytics"](https://www.g2.com/survey_responses/dremio-review-13102983)**

**Rating:** 4.5/5.0 stars

_— Guilherme A._

[Read full review](https://www.g2.com/survey_responses/dremio-review-13102983)

**["Flexible SQL for Handling Data from Many Sources"](https://www.g2.com/survey_responses/dremio-review-12709566)**

**Rating:** 4.5/5.0 stars

_— Tariel (Tato) B._

[Read full review](https://www.g2.com/survey_responses/dremio-review-12709566)

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

- [What is Dremio used for?](https://www.g2.com/discussions/what-is-dremio-used-for)
- [What is drill in Hadoop?](https://www.g2.com/discussions/what-is-drill-in-hadoop)
- [What is a Dremio reflection?](https://www.g2.com/discussions/what-is-a-dremio-reflection) - 1 comment
- [Is Dremio free?](https://www.g2.com/discussions/is-dremio-free)
- [What is Dremio software?](https://www.g2.com/discussions/what-is-dremio-software)

### [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)

### [Omniscope Evo](https://www.g2.com/products/omniscope-evo/reviews)

Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transform and explore it, extract insights through ML algorithms, then produce interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one self-service BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation. 🧽 Data Prep, ETL: build workflows to load, stream, blend and transform any data. 🔍 Analytics: leverage machine learning, extract insights and perform visual exploration. 📊 Visualisation: design interactive reports, publish and share your results. 📜 Extensible: augment data pipelines with your Python / R scripts, enhance reports with any JS based visualisation. 🚀 Scalable: big data preparation and live query dashboards on SQL databases. 🤝 Collaboration: multi-user synchronised edits on workflows and dashboards. 🤖 Automation API: schedule parameterised data refresh & report updates, trigger tasks, alerts, edit & query data. 💐 Universal: a fresh and smart experience on any device: Windows, Mac, Linux, Android, iOS. 🏢 Deployment: on-premises or on your cloud. Built-in user permissions / OIDC / SSO 🎨 White-label: host branded data solutions and embedded analytics

**Average Rating:** 4.7/5.0

**Total Reviews:** 21

#### How Do G2 Users Rate Omniscope Evo?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.4/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Omniscope Evo?

- **Seller:** [Visokio](https://www.g2.com/sellers/visokio)
- **Year Founded:** 2002
- **HQ Location:** London, GB
- **Twitter:** @Visokio  
255 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2e6a8d195f9f9a56d4b034ccd0b99bc53eab2931484df97375344d4759d9ac2d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F658108&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 65% Small, 17% Large

#### What Are Recent G2 Reviews of Omniscope Evo?

**["Strong ETL building tool with good dashboarding capabilities"](https://www.g2.com/survey_responses/omniscope-evo-review-9711987)**

**Rating:** 5.0/5.0 stars

_— Kay F._

[Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-9711987)

**["The best ETL + Dataviz on the market right now"](https://www.g2.com/survey_responses/omniscope-evo-review-4780627)**

**Rating:** 5.0/5.0 stars

_— Alex O._

[Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-4780627)

#### What Are G2 Users Discussing About Omniscope Evo?

- [What is Omniscope Evo used for?](https://www.g2.com/discussions/what-is-omniscope-evo-used-for) - 1 comment

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

DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement data. It is optimized for large data sets and includes tools to quickly aggregate and search for the data you need, view and investigate that data, transform it with engineering-specific analysis functions and share results with a powerful drag-and-drop report editor. You can use DIAdem with over one thousand data file formats by utilizing DataPlugins. You can leverage scripts written in Python or Visual Basic Script to automate your repetitive data post-processing tasks and transform your measurement data into complete, accurate, and actionable insights.

**Average Rating:** 4.4/5.0

**Total Reviews:** 40

#### How Do G2 Users Rate DIAdem?

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.6/10 (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 DIAdem?

- **Seller:** [NI](https://www.g2.com/sellers/ni)
- **Year Founded:** 1976
- **HQ Location:** Austin, TX
- **Twitter:** @NIglobal  
26,204 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e47028c4e6de618af61a72452263692e450da655b3508f1cfb581722076f7569&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3433&secure%5Burl_type%5D=linkedin_company_website)  
7,957 employees on LinkedIn®
- **Ownership:** NASDAQ: NATI

#### Who Uses This Product?

- **Top Industries:** Automotive, Mechanical or Industrial Engineering
- **Company Size:** 43% Small, 41% Large

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

**["Fantastic Tool for Data Reduction and Presentation"](https://www.g2.com/survey_responses/diadem-review-5280401)**

**Rating:** 4.5/5.0 stars

_— Keith M._

[Read full review](https://www.g2.com/survey_responses/diadem-review-5280401)

**["Good measurement data postprocessing tool also for large measurement sets"](https://www.g2.com/survey_responses/diadem-review-10181319)**

**Rating:** 4.5/5.0 stars

_— Pavol V._

[Read full review](https://www.g2.com/survey_responses/diadem-review-10181319)

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

- [What is a DIAdem test?](https://www.g2.com/discussions/what-is-a-diadem-test)
- [How do you use DIAdem?](https://www.g2.com/discussions/how-do-you-use-diadem)
- [What is DIAdem labview?](https://www.g2.com/discussions/what-is-diadem-labview)
- [What is DIAdem software?](https://www.g2.com/discussions/what-is-diadem-software)

### [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:** 4.1/5.0

**Total Reviews:** 131

#### 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, Computer Software
- **Company Size:** 42% Large, 32% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience.
- Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease.
- Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection.
- Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience.
- Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless.

##### Cons

- Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners.
- Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization.
- Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners.
- Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution.
- Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support.

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

**["Reliable Platform for Managing Large-Scale Data Pipelines"](https://www.g2.com/survey_responses/cloudera-review-11455117)**

**Rating:** 4.5/5.0 stars

_— Paritosh C._

[Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117)

**["Easy to Use, Reliable, and Great for Team Collaboration"](https://www.g2.com/survey_responses/cloudera-review-12695378)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378)

#### 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)

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

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

**Average Rating:** 4.0/5.0

**Total Reviews:** 237

#### How Do G2 Users Rate Qubole?

- **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Qubole?

- **Seller:** [Qubole](https://www.g2.com/sellers/qubole)
- **Year Founded:** 2011
- **HQ Location:** Santa Clara, CA
- **Twitter:** @qubole  
9,425 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cc13e762172697d6e721ae563618bfc1c0e24487d27c39920e5615ac5e252b7a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2531735%2F&secure%5Burl_type%5D=linkedin_company_website)  
24 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Scientist
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 51% Large, 44% Medium

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

**["Qubole is an amazing data lake platform for analytics"](https://www.g2.com/survey_responses/qubole-review-5474365)**

**Rating:** 5.0/5.0 stars

_— Parth C._

[Read full review](https://www.g2.com/survey_responses/qubole-review-5474365)

**[""Great and easy to implement tool to manage big data""](https://www.g2.com/survey_responses/qubole-review-7111868)**

**Rating:** 5.0/5.0 stars

_— Muhammad D._

[Read full review](https://www.g2.com/survey_responses/qubole-review-7111868)

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

- [What is Qubole used for?](https://www.g2.com/discussions/what-is-qubole-used-for)

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

Gigasheet is an analytics platform purpose-built for healthcare market intelligence. Gigasheet analyzes price transparency files and payer-negotiated rates at massive scale. Used by payers, consultants, and provider organizations, Gigasheet makes it easy to explore reimbursement data, benchmark pricing across payers and regions, and identify outliers using a familiar spreadsheet interface. The platform supports billions of rows and connects directly to data warehouses, cloud storage, and flat files, enabling rapid healthcare price intelligence without burdening IT resources.

**Average Rating:** 4.9/5.0

**Total Reviews:** 22

#### How Do G2 Users Rate Gigasheet?

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

#### Who Is the Company Behind Gigasheet?

- **Seller:** [Gigasheet](https://www.g2.com/sellers/gigasheet)
- **Year Founded:** 2020
- **HQ Location:** Washington DC Area
- **Twitter:** @gigasheet  
409 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d102218977d40f2a061146c5b21a666618f6817c2d82cf947b3cf00c5ce9d699&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgigasheet%2F&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing and Advertising
- **Company Size:** 65% Small, 17% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Gigasheet, enjoying intuitive navigation and quick setup for data analysis.
- Users appreciate the **intuitive usability** of Gigasheet, allowing easy analysis of complex data effortlessly.
- Users praise the **excellent customer support** of Gigasheet, noting prompt responses and helpful assistance.
- Users are impressed by Gigasheet's **ability to handle large datasets quickly** , enhancing their data processing efficiency.
- Users appreciate the **intuitive and user-friendly features** of Gigasheet, enabling efficient analysis and report generation.

##### Cons

- Users find Gigasheet to be **expensive** , especially as many features now require a costly subscription.

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

**["Intuitive, Fast Setup, and Essential for Price Transparency Analysis"](https://www.g2.com/survey_responses/gigasheet-review-12051277)**

**Rating:** 5.0/5.0 stars

_— Mike L._

[Read full review](https://www.g2.com/survey_responses/gigasheet-review-12051277)

**["Excellent support team"](https://www.g2.com/survey_responses/gigasheet-review-11287687)**

**Rating:** 4.5/5.0 stars

_— Verified User in Research_

[Read full review](https://www.g2.com/survey_responses/gigasheet-review-11287687)

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

Accelerite Share Insights is an end- to- end big data analytics platform that unifies different analytics operations like data processing, storage and visualization, It offer unique advantages like analytics development, managed life-cycle of analytics and future proofing.

**Average Rating:** 4.3/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate ShareInsights?

- **Has the product been a good partner in doing business?:** 8.3/10 (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:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ShareInsights?

- **Seller:** [Accelerite](https://www.g2.com/sellers/accelerite)
- **Year Founded:** 2014
- **HQ Location:** Santa Clara, CA
- **Twitter:** @Accelerite  
1,087 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=10856234dcc037d25bb7ccca7d2359f6b30ae5712a15df84da1e2d73a332998a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F5118410&secure%5Burl_type%5D=linkedin_company_website)  
18 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 42% Medium, 33% Small

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

**["Very efficient tool for Big data analysis"](https://www.g2.com/survey_responses/shareinsights-review-9308319)**

**Rating:** 4.5/5.0 stars

_— Vanshika G._

[Read full review](https://www.g2.com/survey_responses/shareinsights-review-9308319)

**["Insight overview"](https://www.g2.com/survey_responses/shareinsights-review-9336861)**

**Rating:** 4.5/5.0 stars

_— Verified User in Education Management_

[Read full review](https://www.g2.com/survey_responses/shareinsights-review-9336861)

### [Apache Pig](https://www.g2.com/products/apache-pig/reviews)

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.

**Average Rating:** 3.9/5.0

**Total Reviews:** 20

#### How Do G2 Users Rate Apache Pig?

- **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 7.8/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Apache Pig?

- **Seller:** [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation)
- **Year Founded:** 1999
- **HQ Location:** Wakefield, MA
- **Twitter:** @TheASF  
66,168 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b8484c4bb31e87bc0ba9e683d86f2af14309539343a063507c88bcdcff98434d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F215982%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,470 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Internet
- **Company Size:** 62% Large, 19% Medium

#### What Are Recent G2 Reviews of Apache Pig?

**["Apache Pig has saved my life from forever coding!"](https://www.g2.com/survey_responses/apache-pig-review-4195334)**

**Rating:** 4.5/5.0 stars

_— Prashanth K._

[Read full review](https://www.g2.com/survey_responses/apache-pig-review-4195334)

**["Apache Pig makes it easy to create efficient data pipelines"](https://www.g2.com/survey_responses/apache-pig-review-4154116)**

**Rating:** 4.5/5.0 stars

_— Prashant V._

[Read full review](https://www.g2.com/survey_responses/apache-pig-review-4154116)

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

Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Tinybird makes integrating the open source ClickHouse database into applications simpler, faster, and more reliable, allowing engineers to focus on feature development rather than infrastructure management. Tinybird eliminates the complexities associated with traditional database management, making it an ideal choice for teams looking to leverage the power of ClickHouse without the overhead of server maintenance and scaling concerns. The target audience for Tinybird includes software developers, data engineers, technical founders, and AI-native product teams building real-time analytics capabilities in their applications. With the increasing demand for real-time data processing, Tinybird caters to teams that need to deliver insights quickly and efficiently. Use cases for Tinybird span various industries, including SaaS, e-commerce, finance, crypto, AI, and IoT, where real-time data analysis is crucial for decision-making and operational efficiency. By providing a managed service, Tinybird allows software engineers to deploy analytics features in days rather than months, significantly accelerating project timelines. Key features of Tinybird include a hosted ClickHouse database plus managed data ingestion and API layers, which simplify the process of integrating analytics into applications. The built-in authentication tools enhance security and data privacy, with support for row-level access policies using JWTs. Free observability logs storage and querying allow users to keep tabs on usage and performance. AI-native features, including Tinybird Code - a CLI agent with deep ClickHouse expertise - plus the Tinybird MCP Server, make integrating analytics features into LLM apps simpler and more robust. Additionally, Tinybird's architecture is designed to handle scaling automatically, allowing teams to focus on their core development tasks without worrying about understanding a new database or worrying about infrastructure details. For those who desire infrastructure control, Tinybird offers self-managed deployment, for free. This unique combination of features enables users to ship data-driven features rapidly while maintaining high performance and reliability. Tinybird stands out in the real-time analytics database landscape by providing the performance of one of the world's fastest OLAP databases without the associated complexity. By abstracting the technical challenges of managing clusters and provisioning resources, Tinybird empowers teams to innovate and iterate on their products more quickly. The service's emphasis on ease of use and rapid deployment makes it an attractive option for organizations looking to harness the power of real-time analytics without the burden of extensive operational overhead. With Tinybird, users can unlock the potential of their data and drive impactful insights, all while enjoying a seamless and efficient development experience.

**Average Rating:** 4.1/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Tinybird?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.6/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Tinybird?

- **Seller:** [Tinybird](https://www.g2.com/sellers/tinybird)
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e5da8c9289e798ea9ef543204309f2a3120524e5c990f4197c39583ac6532ca8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F35704741&secure%5Burl_type%5D=linkedin_company_website)  
52 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 50% Medium, 36% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise Tinybird for its **ease of use** , enabling smooth integration and efficient data analytics without hassle.
- Users love the **easy integration and real-time analytics** capabilities of Tinybird, enabling swift data-driven decisions.
- Users enjoy the **easy integrations** of Tinybird, enabling seamless connectivity and real-time analytics with minimal effort.
- Users value the **ease of integration and exploration** with Tinybird, appreciating its seamless data analytics capabilities.
- Users value the **easy integrations** with apps like Confluent Cloud, enhancing real-time analytics development.

##### Cons

- Users are frustrated with the **poor customer support** , experiencing slow response times and lacking detailed documentation.
- Users note a **lack of features** in Tinybird, which limits its adaptability and complicates the user experience.
- Users experience a challenging **learning curve** with Tinybird, making it tough to navigate and utilize effectively.
- Users find the **learning difficulty** with Tinybird challenging, making it hard to navigate and fully utilize its features.
- Users note the **limited customization** of Tinybird, which restricts adaptability and may require workarounds for specific needs.

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

**["Best tool for building dashboards and develop low latency APIs"](https://www.g2.com/survey_responses/tinybird-review-9121969)**

**Rating:** 4.0/5.0 stars

_— Maxwel S._

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9121969)

**["Building real-time analytics made simple with Tinybird"](https://www.g2.com/survey_responses/tinybird-review-9122091)**

**Rating:** 4.5/5.0 stars

_— Bhavya J._

[Read full review](https://www.g2.com/survey_responses/tinybird-review-9122091)

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

- [What is Tinybird used for?](https://www.g2.com/discussions/what-is-tinybird-used-for)

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

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.

**Average Rating:** 4.5/5.0

**Total Reviews:** 29

#### How Do G2 Users Rate StarTree?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 6.9/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.8/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind StarTree?

- **Seller:** [StarTree](https://www.g2.com/sellers/startree)
- **Company Website:** www.startree.ai
- **Year Founded:** 2019
- **HQ Location:** Mountain View, California
- **Twitter:** @startreedata  
2,275 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e534c8f5e5f9df114b4965256c16ce258d0fb0785c7f3647229ba8b574a5f6d9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstartreedata%2F&secure%5Burl_type%5D=linkedin_company_website)  
118 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 38% Small, 31% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **exceptional real-time performance** of StarTree, enabling rapid insights from large datasets effortlessly.
- Users appreciate the **real-time analytics capabilities** of StarTree, facilitating quick insights and robust performance at scale.
- Users appreciate the **ease of use** of StarTree, enjoying quick onboarding and an intuitive interface for analytics.
- Users enjoy the **fast querying** capabilities of StarTree, enabling quick data exploration and efficient analytics at scale.
- Users find StarTree's **intuitive interface** simplifies onboarding and enhances everyday analytics tasks for all users.

##### Cons

- Users face a **steep learning curve** with StarTree, making initial setup and configuration challenging for new teams.
- Many users find the **complex setup** of StarTree challenging, especially for those unfamiliar with technical configurations.
- Users find the **difficult setup** process challenging, particularly for new users needing better documentation and support.
- Users find the **insufficient documentation** challenging, complicating setup and understanding of advanced features.
- Users often find **poor documentation** a barrier, making setup and configuration more challenging than necessary.

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

**["Powerful Real-Time Analytics with Intuitive Interface and Seamless Scalability"](https://www.g2.com/survey_responses/startree-review-11958223)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/startree-review-11958223)

**["Blazing-Fast Real-Time Analytics with Intuitive UI"](https://www.g2.com/survey_responses/startree-review-11977802)**

**Rating:** 5.0/5.0 stars

_— Verified User in Graphic Design_

[Read full review](https://www.g2.com/survey_responses/startree-review-11977802)

### [Gathr.ai](https://www.g2.com/products/gathr-ai/reviews)

Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, Gathr.ai delivers agility, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit speed and full extension freedom.

**Average Rating:** 4.8/5.0

**Total Reviews:** 33

#### How Do G2 Users Rate Gathr.ai?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 10.0/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.8/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Gathr.ai?

- **Seller:** [Gathr.ai](https://www.g2.com/sellers/gathr-ai)
- **Year Founded:** 2022
- **HQ Location:** Los Gatos, CA, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=23bea0ac47df2a0da7303c7ace19ffd59b5d08c8cac44c527d18fae2d5b1cdd5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fgathr-one&secure%5Burl_type%5D=linkedin_company_website)  
57 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Associate Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 79% Medium, 21% Large

#### What Do G2 Reviewers Say About Gathr.ai?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **seamless integrations** of Gathr.ai, enabling quick connections and streamlined data processing for analytics.
- Users praise Gathr.ai for its **effective data management capabilities** , enabling seamless access to insightful, quality-driven data analysis.
- Users value the **intuitive drag-and-drop interface** of Gathr.ai, simplifying complex pipeline creation and integration tasks.
- Users appreciate the **ease of use** of Gathr.ai, making data integration fast with its intuitive low-code interface.
- Users appreciate the **easy integrations** of Gathr.ai, enabling quick connections and efficient workflow setups across platforms.

##### Cons

- Users highlight **access issues** due to a lack of native connectors, making integration more complex than necessary.
- Users face **connection issues** with legacy systems but appreciate timely support and updates from Gathr.ai.
- Users find that the **difficult setup** for custom connectors can hinder their experience, despite the smooth integration process.
- Users find the **lack of real-time data** limiting for evaluating and enhancing pipeline performance effectively.
- Users find that **performance optimization requires technical expertise** , making improvements and data monitoring challenging in real-time streaming.

#### What Are Recent G2 Reviews of Gathr.ai?

**["Simplified data transformation for GenAI success"](https://www.g2.com/survey_responses/gathr-ai-review-11262615)**

**Rating:** 4.5/5.0 stars

_— siddharth g._

[Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11262615)

**["Enables deep, self-service data exploration"](https://www.g2.com/survey_responses/gathr-ai-review-11440931)**

**Rating:** 5.0/5.0 stars

_— Neha G._

[Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11440931)

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- [Big Data Processing and Distribution](/categories/big-data-processing-and-distribution)

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

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated April 9, 2026

Big data analytics software provides insights into large, complex data sets collected from big data clusters, helping business users understand data trends, patterns, and anomalies through visualizations, reports, and dashboards, often requiring query languages to extract data from unstructured file systems.

### Core Capabilities of Big Data Analytics Software

To qualify for inclusion in the Big Data Analytics category, a product must:

- Consume data, query file systems, and connect directly to big data clusters
- Allow users to prepare complex big data sets into helpful and understandable data visualizations
- Create business-applicable reports, visualizations, and dashboards based on discoveries inside the data sets

### Common Use Cases for Big Data Analytics Software

Data engineers, analysts, and business intelligence teams use big data analytics software to extract value from large-scale, unstructured data environments. Common use cases include:

- Querying and analyzing large Hadoop or distributed data clusters to surface business insights
- Detecting patterns and anomalies in high-volume data sets for operational or strategic decision-making
- Building self-service charts and dashboards for non-technical stakeholders from big data sources

### How Big Data Analytics Software Differs from Other Tools

Big data analytics software is solely focused on manipulating complex, large-scale data clusters into understandable visualizations, differentiating it from [analytics platforms](https://www.g2.com/categories/analytics-platforms), which support a wide range of data sources and connectors beyond big data. The two categories are mutually exclusive. Big data analytics tools are commonly used at companies running Hadoop in conjunction with [big data processing and distribution software](https://www.g2.com/categories/big-data-processing-and-distribution) and integrate with [data warehouse software](https://www.g2.com/categories/data-warehouse) as the central hub for integrated data. Some solutions also leverage [machine learning](https://www.g2.com/categories/machine-learning) and [natural language processing](https://www.g2.com/categories/natural-language-processing-nlp) to enable natural language querying.

### Insights from G2 on Big Data Analytics Software

Based on category trends on G2, query flexibility and scalability for large data sets stand out as standout capabilities. Faster insight generation from complex data environments stand out as the primary benefit of adoption.

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