# Best Big Data Analytics Software - Page 3

## 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**

### Kpow for Apache Kafka®

Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing Kafka environments. This JVM-based web application serves as an all-in-one console, empowering Kafka engineers with the capabilities they need to streamline their operations and improve productivity. Targeted primarily at engineering teams working with Kafka, Kpow addresses the complexities of managing multiple Kafka clusters, schema registries, and connection installations. With Kpow, users can efficiently monitor and control their Kafka resources from a single interface, simplifying the management process and reducing the time spent on routine tasks. The tool is particularly beneficial for organizations that rely heavily on Kafka for data streaming and processing, as it provides essential functionalities that enhance observability and operational efficiency. One of the standout features of Kpow is its real-time monitoring and visualization capabilities. Users can quickly identify unbalanced brokers and gain insights into how data is distributed across their Kafka Streams topologies. This level of visibility is crucial for diagnosing production issues and optimizing performance. Kpow's advanced search functionalities, including Data Inspect, Streaming Search, and kREPL, enable users to search through vast amounts of messages at remarkable speeds, allowing for rapid troubleshooting and data analysis. Kpow also prioritizes security and access control, making it suitable for enterprise environments. It integrates seamlessly with standard authentication providers and offers role-based access controls, ensuring that user actions can be finely tuned to meet organizational security requirements. Additional security features, such as data masking and audit logs, further enhance the tool's capability to operate in sensitive environments, including air-gapped installations. Installation of Kpow is straightforward, requiring only a single Docker container or JAR file, which operates efficiently with minimal resource requirements of 1GB memory and 1 CPU for production use. This ease of deployment, combined with its powerful features, positions Kpow as a valuable asset for organizations looking to maximize their Kafka infrastructure while maintaining robust security and operational control.

[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=2026-08-13T01%3A36%3A27Z&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=133071&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%3D3&secure%5Btoken%5D=efabcfbe30fe05384639d56e2dedee852106890f05263ff50c57ecfd3ce8e6f5&secure%5Burl%5D=http%3A%2F%2Ffactorhouse.io%2F&secure%5Burl_type%5D=custom_url)

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

Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance.

**Average Rating:** 4.6/5.0

**Total Reviews:** 138

#### How Do G2 Users Rate Keboola?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 5.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Keboola?

- **Seller:** [Keboola](https://www.g2.com/sellers/keboola)
- **Year Founded:** 2008
- **HQ Location:** Prague
- **Twitter:** @keboola  
2,004 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef5c258c3c12e985009d017bdcea8d30cdde56e2d89dcd2f873f739b37335044&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkeboola%2F&secure%5Burl_type%5D=linkedin_company_website)  
97 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Engineer
- **Top Industries:** Information Technology and Services, Marketing and Advertising
- **Company Size:** 63% Medium, 22% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Keboola's platform to be **simple and easy to use** , making data management accessible for everyone.
- Users value the **user-friendly data management** capabilities of Keboola, enhancing accessibility for non-technical individuals.
- Users praise the **intuitive setup for data flows** in Keboola, enhancing productivity with seamless data handling.
- Users value the **extensive integrations** of Keboola, enabling seamless data management across various platforms and tools.
- Users praise Keboola for its **incredible customer support** , providing fast and helpful assistance to enhance their experience.

##### Cons

- Users find the **learning curve steep** , often requiring developer assistance and causing confusion with component navigation.
- Users struggle with the **complexity** of Keboola, facing steep learning curves and inconsistent documentation that hinders usability.
- Users face a **steep learning curve** with Keboola, often needing external help to navigate its complexities effectively.
- Users find the **interface difficult to navigate** , making data management more complex and error-prone than expected.
- Users find the **user interface overwhelming** and not intuitive, resulting in a challenging learning experience for newcomers.

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

**["Usefull tool with good people behind it"](https://www.g2.com/survey_responses/keboola-review-13121874)**

**Rating:** 4.5/5.0 stars

_— Verified User in Wholesale_

[Read full review](https://www.g2.com/survey_responses/keboola-review-13121874)

**["Keboola’s Intuitive UI Makes Big-Data Pipelines and Transformations Effortless"](https://www.g2.com/survey_responses/keboola-review-13168406)**

**Rating:** 4.5/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/keboola-review-13168406)

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

- [What are the benefits and challenges of using Keboola for data integration, and what do you recommend for new users?](https://www.g2.com/discussions/what-are-the-benefits-and-challenges-of-using-keboola-for-data-integration-and-what-do-you-recommend-for-new-users)

### [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews)

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.

**Average Rating:** 4.8/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate Plotly Dash Enterprise?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Plotly Dash Enterprise?

- **Seller:** [Plotly](https://www.g2.com/sellers/plotly)
- **Year Founded:** 2013
- **HQ Location:** Montréal, CA
- **Twitter:** @plotlygraphs  
41,308 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=333261e482ab8eeda91d8b94f8944150fd0b5c49c67c2f514107b3eda84f9046&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3327684%2F&secure%5Burl_type%5D=linkedin_company_website)  
107 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 47% Small, 31% Large

#### What Do G2 Reviewers Say About Plotly Dash Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of creating beautiful visualizations** with Drag-and-Drop features in Plotly Dash Enterprise.
- Users love the **coding ease** of Plotly Dash Enterprise, allowing simple chart creation through drag and drop functionality.
- Users value the **customer support** of Plotly Dash Enterprise, enhancing their experience with prompt and effective assistance.
- Users love the **intuitive dashboard management** of Plotly Dash Enterprise, enhancing efficiency with easy visualizations and SQL support.
- Users value the **ease of creating stunning visualizations** in Plotly Dash Enterprise, enhancing their data presentation experience.

#### What Are Recent G2 Reviews of Plotly Dash Enterprise?

**["Its the perfect Data Management"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)**

**Rating:** 4.5/5.0 stars

_— Maria F._

[Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)

**["Dash Dominance in Creating Interactive Web Apps for Your Data Insights"](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)**

**Rating:** 5.0/5.0 stars

_— Uttam M._

[Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)

#### What Are G2 Users Discussing About Plotly Dash Enterprise?

- [What are 3 benefits of a dashboard?](https://www.g2.com/discussions/dash-what-are-3-benefits-of-a-dashboard)
- [What is the best dashboard software?](https://www.g2.com/discussions/dash-what-is-the-best-dashboard-software)
- [How good is Dash?](https://www.g2.com/discussions/how-good-is-dash)
- [What is the function of a dashboard?](https://www.g2.com/discussions/what-is-the-function-of-a-dashboard)

### [Strategy Mosaic](https://www.g2.com/products/strategy-mosaic/reviews)

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organizations. It addresses critical challenges such as data fragmentation and inconsistent metrics, which lead to untrusted AI answers, compliance risks, and runaway cloud costs. The universal semantic layer that Mosaic provides serves as a centralized repository for business definitions, hierarchies, and security rules, ensuring that all users access consistent metrics and KPIs regardless of the tools they employ. This single source of truth is actively monitored by our integrated Sentinel layer, which moves you from reactive audits to proactive, real-time governance. Sentinel provides immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities, helping you optimize cloud spend and prevent violations before they happen. Additionally, Mosaic empowers organizations to build an auditable foundation for AI. By providing a layer of rich business context and consistent, human-readable definitions, Mosaic gives AI models the deep understanding required to provide more accurate and verifiable answers. This accelerates time to insight, allows you to end vendor lock-in, and dramatically reduces the total cost of ownership (TCO) by eliminating costly data rework and optimizing data management processes. In summary, Strategy Mosaic stands out by addressing the fundamental issues of data fragmentation and governance. Its robust connectivity, centralized semantic layer, and focus on delivering trusted data make it an invaluable tool for organizations aiming to enhance their analytics capabilities and leverage AI effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Strategy Mosaic?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.2/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Strategy Mosaic?

- **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy)
- **Company Website:** www.strategy.com
- **Year Founded:** 1989
- **HQ Location:** Tysons Corner, VA
- **Twitter:** @MicroStrategy  
303,456 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f32382ee6ea0cc02d6dc7c1fe37038f1247aceba92d8d5030350f4ffb1e6c92&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstrategy%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,457 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 53% Large, 40% Medium

#### What Do G2 Reviewers Say About Strategy Mosaic?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Strategy Mosaic, simplifying collaboration and enhancing clarity in planning and execution.
- Users value the **structured planning and AI-assisted metrics creation** of Strategy Mosaic, enhancing collaboration and clarity.
- Users value the **reliable and user-friendly reporting** features of Strategy Mosaic, appreciating its robust semantic layer.
- Users value the **robust data analysis** capabilities of Strategy Mosaic, ensuring reliable insights from vast data volumes.
- Users enjoy the **auto-magical experience** of quickly creating their initial data model with Strategy Mosaic.

##### Cons

- Users experience **minor bugs** with Strategy Mosaic, particularly affecting cube publishing and code corrections.
- Users report encountering **bug issues** that persist even after attempting to correct errors in Strategy Mosaic.
- Users experience **debugging issues** with Strategy Mosaic, as corrections do not reflect in the code as expected.
- Users note the **high licensing costs** of Strategy Mosaic and suggest exploring more affordable options for better value.
- Users find the **initial learning curve** of Strategy Mosaic challenging, making the platform feel overwhelming for newcomers.

#### What Are Recent G2 Reviews of Strategy Mosaic?

**["Strategy Mosaic Makes Strategic Planning Clear, Visual, and Team-Aligned"](https://www.g2.com/survey_responses/strategy-mosaic-review-12611240)**

**Rating:** 4.0/5.0 stars

_— Akash A._

[Read full review](https://www.g2.com/survey_responses/strategy-mosaic-review-12611240)

**["Effortless Planning and Team Alignment Made Simple"](https://www.g2.com/survey_responses/strategy-mosaic-review-12008071)**

**Rating:** 4.5/5.0 stars

_— Aditya K._

[Read full review](https://www.g2.com/survey_responses/strategy-mosaic-review-12008071)

### [Savant Labs](https://www.g2.com/products/savant-labs/reviews)

Savant is an AI workflow automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail, data lineage, and evidence packs: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing

**Average Rating:** 4.7/5.0

**Total Reviews:** 51

#### How Do G2 Users Rate Savant Labs?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.2/10 (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 Savant Labs?

- **Seller:** [Savant Labs](https://www.g2.com/sellers/savant-labs)
- **Company Website:** www.savantlabs.io
- **Year Founded:** 2021
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5dcb585c5245667215a14c13aa5332e041e2aa08dcb405a69812a52bc310dd41&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsavant-labs&secure%5Burl_type%5D=linkedin_company_website)  
61 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Logistics and Supply Chain
- **Company Size:** 42% Large, 40% Medium

#### What Do G2 Reviewers Say About Savant Labs?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Savant Labs, enjoying its intuitive interface and seamless analytics capabilities.
- Users appreciate the **friendly and responsive customer support** that effectively addresses issues and inquiries promptly.
- Users love the **user-friendly interface** , which simplifies analytics and enhances productivity with seamless data integration.
- Users appreciate the **easy integrations** with Google Drive and other tools, enhancing analysis efficiency without coding.
- Users love the **easy integrations** with various data sources, enhancing their analytics experience without coding knowledge.

##### Cons

- Users note a **steep learning curve** with Savant Labs, requiring practice and patience to navigate effectively.
- Users find the **learning difficulty** with Savant Labs steep, requiring practice to navigate its innovative features effectively.
- Users experience **integration issues** with Savant Labs, facing difficulties in updating data sources and tool functionality.
- Users face significant **access issues** , particularly with personal email logins and outdated tools during analyses.
- Users face challenges with **data management** , particularly in updating sources and refreshing analyses effectively.

#### What Are Recent G2 Reviews of Savant Labs?

**["Faster close + auditors actually trust our process now"](https://www.g2.com/survey_responses/savant-labs-review-12941283)**

**Rating:** 5.0/5.0 stars

_— Lawrence M._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12941283)

**["Automated sales tax reconciliation and significantly shortened month-end close"](https://www.g2.com/survey_responses/savant-labs-review-12942104)**

**Rating:** 5.0/5.0 stars

_— Marlene S._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12942104)

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

Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution.

**Average Rating:** 4.8/5.0

**Total Reviews:** 19

#### How Do G2 Users Rate Datacoves?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 9.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Datacoves?

- **Seller:** [Datacoves Inc](https://www.g2.com/sellers/datacoves-inc)
- **Year Founded:** 2021
- **HQ Location:** Thousand Oaks, California
- **Twitter:** @datacoves  
475 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0d506e3247033352dea4ac380cfe05a1fd6ac756b6f5cb9a2596c999b5a2aa91&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatacoves%2F&secure%5Burl_type%5D=linkedin_company_website)  
12 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 47% Large, 26% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **ease of use** of Datacoves, praising its straightforward setup and supportive implementation process.
- Users appreciate the **well-thought-out development process** of Datacoves, which enhances productivity and teamwork in data engineering.
- Users value the **seamless integrations** of Datacoves, enhancing collaboration and simplifying complex data workflows effectively.
- Users appreciate the **best-in-breed data engineering tools** of Datacoves, enhancing collaboration and improving data quality effectively.
- Users appreciate the **easy integrations** of Datacoves, streamlining collaboration and improving overall data pipeline efficiency.

##### Cons

- Users feel the **alert overload** can lead to confusion and strain on customer support during service failures.
- Users find the **lack of dashboard integrations** limits their ability to monitor activity and manage resources effectively.
- Users express concerns about **being locked into specific ELT tools** , which may limit flexibility for some.
- Some users feel **locked into their ELT tools** , which may limit flexibility and cause frustration.
- Users note the **difficult learning** curve due to the need for extensive customization with Datacoves.

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

**["Great Developer Experience with Responsive Support"](https://www.g2.com/survey_responses/datacoves-review-12882735)**

**Rating:** 5.0/5.0 stars

_— Anthony L._

[Read full review](https://www.g2.com/survey_responses/datacoves-review-12882735)

**["Datacoves Delivers Stable, Managed Airflow with Seamless dbt + Snowflake Integration"](https://www.g2.com/survey_responses/datacoves-review-13115559)**

**Rating:** 5.0/5.0 stars

_— Alex S._

[Read full review](https://www.g2.com/survey_responses/datacoves-review-13115559)

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

The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.

**Average Rating:** 4.9/5.0

**Total Reviews:** 8

#### How Do G2 Users Rate Megaladata?

- **Multi-Source Analysis:** 10.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Megaladata?

- **Seller:** [Megaladata](https://www.g2.com/sellers/megaladata)
- **HQ Location:** Neu-Isenburg, DE
- **Twitter:** @megaladata\_com  
5 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=061b6364dee02e318c6fe6a8a981f8186c4715e88c17473ba2dbf3c2024fa4de&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmegaladata&secure%5Burl_type%5D=linkedin_company_website)  
5 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 89% Small, 11% Medium

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

**["Megaladata Makes ETL Fast and Accessible with a Powerful Low-Code Interface"](https://www.g2.com/survey_responses/megaladata-review-13251321)**

**Rating:** 5.0/5.0 stars

_— Goharik H._

[Read full review](https://www.g2.com/survey_responses/megaladata-review-13251321)

**["Reusable Components and Nice Performance"](https://www.g2.com/survey_responses/megaladata-review-12780960)**

**Rating:** 5.0/5.0 stars

_— Vitali M._

[Read full review](https://www.g2.com/survey_responses/megaladata-review-12780960)

### [Deep.BI](https://www.g2.com/products/deep-bi/reviews)

Deep.BI measures content consumption metrics and provides user engagement scoring to power publisher's content delivery, marketing tools and paywalls to grow, engage and retain audiences. Deep.BI collects all kinds of raw event data related to publishing, like reader’s behavior and content performance, and analyzes this data in real-time (sub-second latency between ingestion and data visualization). By collecting first-party raw data (no sampling & no aggregation), publishers get unprecedented flexibility in building their own metrics, reports, and different strategies for different kinds of content. This also allows publishers to quickly test hypotheses on both live and historical data. These dashboards and reports are shareable and customizable across teams making the workload on the analysts much lighter and gives them the ability to deliver what they want to deliver in the way they want and in lightning speeds!

**Average Rating:** 4.4/5.0

**Total Reviews:** 10

#### How Do G2 Users Rate Deep.BI?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 7.5/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deep.BI?

- **Seller:** [Deep.BI](https://www.g2.com/sellers/deep-bi)
- **Year Founded:** 2016
- **HQ Location:** San Francisco, California
- **Twitter:** @\_DeepBI  
962 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cf8b636f916e02468a7c97feb497d1b8663730ad034645a4758c1f0a693dd006&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdeep-bi%2F&secure%5Burl_type%5D=linkedin_company_website)  
18 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 40% Medium

#### What Do G2 Reviewers Say About Deep.BI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **real-time actionable insights** from Deep.BI, enhancing their ability to analyze customer interactions effectively.
- Users value the **real-time actionable insights** from Deep.BI, enhancing their ability to understand customer behavior swiftly.
- Users value the **real-time actionable insights** from Deep.BI, enhancing data-driven decision-making for their clients.
- Users value the **real-time actionable insights** from Deep.BI, enhancing audience engagement through informed decision-making.
- Users value the **automation capabilities** of Deep.BI, streamlining analytics and enhancing dashboard creation for clients.

##### Cons

- Users find the **coding difficulty** in Deep.BI to be a barrier, complicating their usage of the platform.
- Users find the **confusing interface** of Deep.BI challenging, especially for those without technical expertise.
- Users find the **UI/UX not intuitive** , making it difficult for layman users to navigate and utilize effectively.
- Users find the **poor interface design** challenging for layman users, affecting overall usability and experience.
- Users find the **UI design lacking** , making it difficult for non-technical individuals to navigate the platform effectively.

#### What Are Recent G2 Reviews of Deep.BI?

**["Helpful real-time data processing"](https://www.g2.com/survey_responses/deep-bi-review-10032368)**

**Rating:** 4.0/5.0 stars

_— Frederic G._

[Read full review](https://www.g2.com/survey_responses/deep-bi-review-10032368)

**["Useful for processing data and assessing reports in real time"](https://www.g2.com/survey_responses/deep-bi-review-10391757)**

**Rating:** 4.0/5.0 stars

_— Komal R._

[Read full review](https://www.g2.com/survey_responses/deep-bi-review-10391757)

#### What Are G2 Users Discussing About Deep.BI?

- [What is the three 3 capabilities of BIS business intelligence system?](https://www.g2.com/discussions/what-is-the-three-3-capabilities-of-bis-business-intelligence-system)
- [What are the functions of BI systems?](https://www.g2.com/discussions/what-are-the-functions-of-bi-systems)
- [What are the key capabilities of BI?](https://www.g2.com/discussions/what-are-the-key-capabilities-of-bi)

### [HyperAspect Cognitive Cloud](https://www.g2.com/products/hyperaspect-cognitive-cloud/reviews)

HyperAspect Cognitive Cloud is an enterprise AI analytics and automation platform that empowers users to leverage big data to drive strategic, efficient decision-making across departments. We bring responsible AI and natural language processing into an organization's core processes with the required security compliance frameworks within data-intensive industries like healthcare, finance, insurance, legal, marketing, retail, professional digital services.

**Average Rating:** 5.0/5.0

**Total Reviews:** 6

#### How Do G2 Users Rate HyperAspect Cognitive Cloud?

- **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:** 9.6/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind HyperAspect Cognitive Cloud?

- **Seller:** [HyperAspect](https://www.g2.com/sellers/hyperaspect)
- **Year Founded:** 2017
- **HQ Location:** Washinghton , US
- **LinkedIn® Page:** [bg.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=558014f3ace026351fe23a3ed036483418ad8e3a490b0f4d98459b65a95050c1&secure%5Burl%5D=https%3A%2F%2Fbg.linkedin.com%2Fcompany%2Fhyperaspect&secure%5Burl_type%5D=linkedin_company_website)  
11 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Medium, 33% Small

#### What Do G2 Reviewers Say About HyperAspect Cognitive Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **AI-driven insights** of HyperAspect Cognitive Cloud, enhancing their data analysis experience effortlessly.
- Users praise the **user-friendly AI integration** of HyperAspect Cognitive Cloud, making advanced data analysis accessible to all.
- Users appreciate the **user-friendly design** of HyperAspect Cognitive Cloud, making AI accessible for all skill levels.
- Users benefit from the **helpful customer support** that simplifies implementation and enhances productivity with HyperAspect Cognitive Cloud.
- Users value the **easy integrations** of HyperAspect Cognitive Cloud for quick deployments and enhanced productivity.

##### Cons

- Users find the **pricing expensive** , making it less accessible for smaller businesses seeking cognitive solutions.
- Users find the **pricing issues** challenging, especially for smaller businesses looking to adopt HyperAspect Cognitive Cloud.

#### What Are Recent G2 Reviews of HyperAspect Cognitive Cloud?

**["Very easy to work with"](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10712175)**

**Rating:** 5.0/5.0 stars

_— Atanas A._

[Read full review](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10712175)

**["Very user friendly and effective Cloud Computing solution"](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10716137)**

**Rating:** 5.0/5.0 stars

_— Viktor I._

[Read full review](https://www.g2.com/survey_responses/hyperaspect-cognitive-cloud-review-10716137)

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

Agile analytics and reporting tool, which enables business users to make informed decisions from real-time business data

**Average Rating:** 3.5/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate BellaDati?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 6.7/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 10.0/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind BellaDati?

- **Seller:** [BellaDati](https://www.g2.com/sellers/belladati)
- **Year Founded:** 2013
- **HQ Location:** Singapore, SG
- **Twitter:** @BellaDati  
291 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a8c0b2fb1a7af97cde8ee3cc32fae3dbe059ce3c255d9401459e101f85c5f559&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbelladati&secure%5Burl_type%5D=linkedin_company_website)  
14 employees on LinkedIn®
- **Phone:** 866-668-0180

#### Who Uses This Product?

- **Company Size:** 50% Large, 50% Small

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

**["Very powerful BI tool at a fraction of the cost."](https://www.g2.com/survey_responses/belladati-review-412356)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/belladati-review-412356)

**["BellaDati IOT"](https://www.g2.com/survey_responses/belladati-review-5320786)**

**Rating:** 5.0/5.0 stars

_— Bobby Chakravarthy B._

[Read full review](https://www.g2.com/survey_responses/belladati-review-5320786)

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

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

### [BIRD Analytics](https://www.g2.com/products/bird-analytics/reviews)

Lightning fast insights at business scale! BIRD Analytics platform provides real time insights on any data, be it batch data or data-in-motion. With its cloud native full-stack capabilities, in-built scalable enterprise data warehouse, 100+ out-of-box connectors with readymade KPI driven dashboards, ERP accelerators and streaming/event driven capabilities, be rest assured that your investments are secured on the right technology platform for the near future.

**Average Rating:** 4.9/5.0

**Total Reviews:** 6

#### How Do G2 Users Rate BIRD Analytics?

- **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:** 9.4/10 (Category avg: 8.5/10)
- **Data Workflow:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind BIRD Analytics?

- **Seller:** [BirdAnalytics](https://www.g2.com/sellers/birdanalytics)
- **Year Founded:** 2014
- **HQ Location:** Newark, US
- **Twitter:** @BIRDanalytics  
71 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d77f9f01adba5cd2424ab21bacc4bd8e3ad0c4ec451bf045f86ae80a2f2850ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbirdanalytics%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
17 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of BIRD Analytics?

**["BIRD analytics is a fast, high performance AI integrated tools that provides you best solutions."](https://www.g2.com/survey_responses/bird-analytics-review-9503734)**

**Rating:** 5.0/5.0 stars

_— Chithra P._

[Read full review](https://www.g2.com/survey_responses/bird-analytics-review-9503734)

**["BIRD analytics is a one of the fast and high performance AI integrated platform."](https://www.g2.com/survey_responses/bird-analytics-review-9503443)**

**Rating:** 5.0/5.0 stars

_— Kaushal K._

[Read full review](https://www.g2.com/survey_responses/bird-analytics-review-9503443)

### [CUBO iQ® Enterprise](https://www.g2.com/products/cubo-iq-enterprise/reviews)

Globalization and the emergence of new applications demand accurate correlations between entity records, which have been expressed with different schemas, formats, fields, and attributes. In a private entity, a single view of their customers is essential for Business Intelligence (BI) and more. Identity resolution is also used in applications related to data quality, such as Customer Data Management (CDM) and Master Data Management (MDM). In contexts like national security, it is possible to identify dangerous profiles through screening for patterns, providing real-time visible matches. In the case of financial services, it can identify customers associated with illicit activities such as terrorism, money laundering, and fraud (by conducting background checks). Most developed countries require compliance with Know Your Customer (KYC), Politically Exposed Person (PEP), and Office of Foreign Assets Control (OFAC) regulations. For the healthcare sector, it enables the construction of a comprehensive picture of patient-related information. The capabilities of automated identity resolution are accurate, fast, and scalable, specifically addressing these and other entity matching requirements. Vision.

**Average Rating:** 4.5/5.0

**Total Reviews:** 5

#### How Do G2 Users Rate CUBO iQ® Enterprise?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 6.7/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.3/10 (Category avg: 8.5/10)
- **Data Workflow:** 6.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind CUBO iQ® Enterprise?

- **Seller:** [Datos Maestros™](https://www.g2.com/sellers/datos-maestros)
- **Year Founded:** 2019
- **HQ Location:** Bogotá, CO
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e67d1b7c65cd09d7671156b7f5ca393458b2024c81126b965c501ccadbcd082d&secure%5Burl%5D=https%3A%2F%2Flinkedin.com%2Fcompany%2Fdatosmaestros&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 80% Small, 20% Medium

#### What Are Recent G2 Reviews of CUBO iQ® Enterprise?

**["Ease of use"](https://www.g2.com/survey_responses/cubo-iq-enterprise-review-9545492)**

**Rating:** 4.5/5.0 stars

_— José Miguel S._

[Read full review](https://www.g2.com/survey_responses/cubo-iq-enterprise-review-9545492)

**["CUBO iQ an excellent tool for Data Governance"](https://www.g2.com/survey_responses/cubo-iq-enterprise-review-9520160)**

**Rating:** 4.5/5.0 stars

_— Fredy Yarney R._

[Read full review](https://www.g2.com/survey_responses/cubo-iq-enterprise-review-9520160)

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

Jethro makes interactive Business Intelligence work on Big Data. (Hadoop). Jethro enables Business Intelligence users to analyze and visualize Big Data in real-time and its SQL Acceleration Engine seamlessly integrates with BI tools like Tableau or Qlik.

**Average Rating:** 4.5/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Jethro?

- **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:** 7.8/10 (Category avg: 8.5/10)
- **Data Workflow:** 7.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Jethro?

- **Seller:** [Jethro](https://www.g2.com/sellers/jethro)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, US
- **Twitter:** @JethroData  
1,999 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=dd2fd8ba76c892d2a86a7ab03af5c749c225437b06fe6f2747e60db7ed7cb419&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2894649&secure%5Burl_type%5D=linkedin_company_website)  
45 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Large, 33% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** with Jethro, appreciating its intuitive interface and seamless indexing features.
- Users value the **fast querying** capabilities of Jethro, significantly reducing time for processing large data sets.
- Users value the **accelerated performance** of Jethro, which significantly reduces query time for large datasets.
- Users highlight the **powerful dynamic indexing** of Jethro, greatly enhancing performance and scalability.
- Users value the **horizontal scaling** capability of Jethro, enhancing performance and flexibility for large data sets.

##### Cons

- Users find Jethro to be **expensive** , especially for small organizations with limited data needs and high maintenance costs.
- Users find the **setup complexity** of Jethro challenging, alongside high hardware requirements and costly maintenance.
- Users find the **difficult setup** process challenging, impacting their initial experience with Jethro.
- Users often face **maintenance issues** due to complexity, costs, and high hardware requirements affecting performance.

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

**["Jethro data processing use case"](https://www.g2.com/survey_responses/jethro-review-10492071)**

**Rating:** 4.0/5.0 stars

_— Anand J._

[Read full review](https://www.g2.com/survey_responses/jethro-review-10492071)

**["very powerful software!"](https://www.g2.com/survey_responses/jethro-review-10281847)**

**Rating:** 4.5/5.0 stars

_— Ling G._

[Read full review](https://www.g2.com/survey_responses/jethro-review-10281847)

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

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

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

Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machine Learning, and Dashboards.

**Average Rating:** 5.0/5.0

**Total Reviews:** 4

#### Who Is the Company Behind Polyture?

- **Seller:** [Polyture](https://www.g2.com/sellers/polyture)
- **HQ Location:** Santa Clara, CA
- **Twitter:** @PolytureData  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

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

**["Great for making live dashboards from Google Sheets"](https://www.g2.com/survey_responses/polyture-review-5129091)**

**Rating:** 5.0/5.0 stars

_— George C._

[Read full review](https://www.g2.com/survey_responses/polyture-review-5129091)

**["The best tool we've found for our company data"](https://www.g2.com/survey_responses/polyture-review-5059135)**

**Rating:** 5.0/5.0 stars

_— Kamal M._

[Read full review](https://www.g2.com/survey_responses/polyture-review-5059135)

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

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

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

Querio is an AI-native BI platform built to remove the bottleneck between business questions and reliable data answers. Instead of waiting on tickets or wrestling with traditional dashboard tools, users ask questions in plain English and get instant, explainable insights; with the option to drill down, refine filters, or edit the underlying SQL/Python at any time. Under the hood, Querio connects directly to modern data warehouses and databases (such as Snowflake, BigQuery, and Postgres) so every query runs on live, governed data — no extra data duplication or proprietary storage. A context layer lets data teams define joins, metrics, and business terminology once, and Querio’s AI agents reuse that knowledge for every query, keeping answers consistent across the organization. For business users, Querio feels like a conversational analyst: ask a question, follow up with “break this down by region” or “show last year instead,” and watch the visuals update while context is preserved. For technical teams, it’s a fully transparent workspace where generated SQL and Python are visible, editable, and versioned; ideal for deeper analysis and validation. querio.ai. Querio also powers embedded analytics experiences, letting product and platform teams ship AI-driven reporting directly inside their own applications. Theme tokens and APIs help match your design system so customer-facing analytics look and feel native. querio.ai Security and governance are first-class: Querio is SOC 2 Type II audited, uses read-only database connections with encrypted credentials, offers granular access control, and never uses your data or queries to train external models. Key Features Natural language querying & conversational analytics: Ask questions in everyday language, refine with follow-ups, and drill into details without writing SQL — the AI agent handles translation and context. Agentic notebooks (coding optional): Work in agentic notebooks where prompts, generated SQL/Python, charts, and narrative outputs live together. Business users stay in prompt mode; technical users can drop into code for fine-tuning. Explore - instant insights on live data: The Explore workspace lets you start from a prompt, iterate freely, drill down as many times as you need, and adjust filters or visualizations on the fly. AI-assisted dashboards & boards: Automatically generate charts and tables from questions, then organize them into dashboards and boards to track KPIs or tell data stories that stay synced with live data. Embedded analytics & AI experiences: Deliver customer-facing analytics that “just works”: embed AI-powered questions, charts, and tables into your product with APIs and theming tokens to match your design system. Context layer & business metrics: Define table relationships, business metrics, and glossary terms once; Querio’s AI then uses this context to keep answers consistent and trustworthy across all teams. Tagging, schema awareness, and data transparency: Tag unique database values inside prompts, quickly see what data Querio can access, and inspect the code it wrote; no hidden logic or “black box” queries. Stop & edit, full control for power users: Pause a run, tweak filters or generated SQL/Python, and re-run without leaving the workflow. This gives analysts the control they expect with the speed of AI. Version control for outputs: Update analyses and dashboards while keeping previous versions safe, so teams can compare past and present results without losing work. Secure, governed access: SOC 2 Type II, read-only access to databases, granular access control, and a policy that no LLM usage is ever used for training — even on the enterprise plan. \*Typical Use Cases\* For Product & Growth teams: - Funnel, activation, and feature adoption analysis - Experiment and cohort analysis without writing SQL - Self-serve product analytics embedded directly into the app For Revenue, Sales & Marketing: - Pipeline, MRR/ARR, and retention reporting - Campaign performance and attribution analysis - Shared boards for weekly and monthly business reviews - Operations & Support - Monitoring operational KPIs and SLAs in real time - Identifying bottlenecks and anomalies with follow-up questions - Answering ad-hoc performance questions without Excel exports For Data & Analytics teams: - Centralizing metrics, joins, and terminology in a single context layer - Reducing the data-request backlog while retaining governance - Reviewing and hardening AI-generated SQL/Python in a transparent workspace querio.ai - Embedded analytics for SaaS products (Adding self-service analytics to customer portals)

**Average Rating:** 4.6/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate Querio?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 6.7/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Querio?

- **Seller:** [Querio AI](https://www.g2.com/sellers/querio-ai)
- **Year Founded:** 2024
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=31ac3548c309d71cbba59a955d1f3db737ab60645406b0aeb8dede85233c5e26&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F94249277%2F&secure%5Burl_type%5D=linkedin_company_website)  
9 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 45% Medium, 27% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **accuracy of responses** from Querio, providing instant, precise insights for data analysis.
- Users commend Querio for its **efficient AI integration** , providing quick, accurate insights from CRM data using natural language queries.
- Users love the **fast and accurate data analysis** capabilities of Querio, simplifying their queries with natural language.
- Users praise the **impressive data visualization** features of Querio, delivering instant, accurate insights in natural language.
- Users appreciate the **outstanding ease of use** of Querio, enabling quick natural language queries for accurate insights.

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

**["Natural Language BI That Makes Data Exploration Fast and Accessible"](https://www.g2.com/survey_responses/querio-review-13230121)**

**Rating:** 4.5/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/survey_responses/querio-review-13230121)

**["Bringing Natural Language to Business Intelligence"](https://www.g2.com/survey_responses/querio-review-13193928)**

**Rating:** 4.0/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/survey_responses/querio-review-13193928)

### [Website Development, Web Development, Product Development](https://www.g2.com/products/website-development-web-development-product-development/reviews)

About Incentius: A new age technology company that creates innovative could-enabled business intelligent solutions & out-of-the-box platforms for startups using secure & scalable technologies. We are a product engineering & data analytics services provider for next-generation enterprise growth management, enabling innovation using secure technologies and standard enterprise products.

**Average Rating:** 4.7/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Website Development, Web Development, Product Development?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10)
- **Multi-Source Analysis:** 8.3/10 (Category avg: 8.5/10)
- **Real-Time Analytics:** 9.2/10 (Category avg: 8.5/10)
- **Data Workflow:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Website Development, Web Development, Product Development?

- **Seller:** [Incentius](https://www.g2.com/sellers/incentius)
- **Year Founded:** 2013
- **HQ Location:** Pune, IN
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a3eb370b3e5b069ada584e4901e39af5bd754b83d8f2823e53882b48fa6293e7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fincentius&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Small, 33% Medium

#### What Do G2 Reviewers Say About Website Development, Web Development, Product Development?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **easy learning** of the product, as it saves time and simplifies explanations.
- Users appreciate the **time-saving** benefits of the product, making descriptions and explanations effortless and efficient.

#### What Are Recent G2 Reviews of Website Development, Web Development, Product Development?

**["Web Development, Product Development is the best platform to develop a website for my own company"](https://www.g2.com/survey_responses/website-development-web-development-product-development-review-9436447)**

**Rating:** 5.0/5.0 stars

_— Parameswar C._

[Read full review](https://www.g2.com/survey_responses/website-development-web-development-product-development-review-9436447)

**["Best tools for web development"](https://www.g2.com/survey_responses/website-development-web-development-product-development-review-10705020)**

**Rating:** 5.0/5.0 stars

_— Aman K._

[Read full review](https://www.g2.com/survey_responses/website-development-web-development-product-development-review-10705020)

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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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