# Top Free DataOps Platforms - Page 2

## How Many DataOps Platforms Products Does G2 Track?

**Total Products under this Category:** 108

### Category Stats (Aug 2026)

- **Average Rating:** 4.58/5 (↓0.01 vs Jul 2026) 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 15, 2026_

## How Does G2 Rank DataOps Platforms Products?

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

- 30 Analysts and Data Experts
- 6,100+ Authentic Reviews
- 108+ 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 DataOps Platforms
 ![G2 Grid® for DataOps Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/dataops-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=23920&focus%5B%5D=1208609&focus%5B%5D=1642761&focus%5B%5D=1243833&focus%5B%5D=148877&focus%5B%5D=142449&focus%5B%5D=51147)

Highlighted products: Databricks, Fivetran, ServiceNow Workflow Data Fabric, Flip, 5X, dbt, Monte Carlo, and Astro by Astronomer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/dataops-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=fivetran&focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=kanerika-flip&focus%5B%5D=5x&focus%5B%5D=dbt&focus%5B%5D=monte-carlo&focus%5B%5D=astro-by-astronomer)

**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=2686&secure%5Bchosen_at%5D=2026-08-15T05%3A09%3A24Z&secure%5Bdisplayable_resource_id%5D=2686&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2686&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=10898&secure%5Bresource_id%5D=2686&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdataops-platforms%2Ffree%3Fpage%3D2&secure%5Btoken%5D=fb60c3e04bdb0a1f9925e9fcc7c5fd8b3c2938d73f3d816ecb2c903a7c6da486&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)

### [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?

- **Data Observability:** 9.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.4/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### 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)

### [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?

- **Data Observability:** 8.4/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.6/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### 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)

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

QuerySurge is an enterprise-grade data quality platform that leverages AI to continuously automate data validation across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, scalable architecture, and the leading DevOps for Data CI/CD integration, QuerySurge ensures data integrity at every stage of the pipeline. Automated Data Validation Use Cases: QuerySurge provides a smart, AI-driven, data validation & ETL testing solution for your automated testing needs. - Data Warehouse / ETL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - Business Intelligence (BI) Report Testing - Big Data Testing - Enterprise Application Data Testing What QuerySurge Provides: - Automation of your manual data validation and testing process - Ease-of-use, low-code/no-code features - Generative AI capabilities for test creation - Testing across 200+ data platforms - Integration into your CI/CD DataOps pipeline - Acceleration of your data analysis - Ensurance of regulatory compliance Key Features: - Data Connection Wizard provides an easy way to link to your data stores - Visual Query Wizard builds table-to-table and column-to-column tests without writing SQL - Generative AI module automatically creates transformation tests in bulk - DevOps for Data provides a RESTful API with 110+ calls and Swagger documentation and integrates into CI/CD pipelines - Create Custom Tests and modularize functions with snippets, set thresholds, stage data, check data types & duplicate rows, full text search, and asset tagging - Schedule tests to run immediately, at a predetermined date & time, or after any event from a build/release, CI/CD, DevOps, or test management solution - Multi-project support in a single instance, new Global Admin user, assign users and agents, import and export projects, and user activity log reports - Webhooks provide real-time integrations with DevOps, CI/CD, test management, and alerting tools - Ready-for-Analytics provides seamless integration with QuerySurge and your BI tool or open-source Metabase to create custom reports and dashboards and gain deeper, real-time insights into your data validation and ETL testing workflows - Data Analytics Dashboards and Data Intelligence Reports track, analyze, and communicate data quality

**Average Rating:** 4.6/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate QuerySurge?

- **Data Observability:** 9.2/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 5.8/10 (Category avg: 10/10)

#### Who Is the Company Behind QuerySurge?

- **Seller:** [QuerySurge](https://www.g2.com/sellers/querysurge)
- **Company Website:** www.querysurge.com
- **Year Founded:** 2012
- **HQ Location:** New York, US
- **Twitter:** @QuerySurge  
6,537 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8084ec3407bb19256b059a159a645ad1631cd360a01088b1a900e2716d7db8ae&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fquerysurge%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Large, 30% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of QuerySurge, facilitating efficient data testing and simplifying workflows with AI integration.
- Users value the **intuitive AI chat engine** of QuerySurge, which simplifies test creation and boosts productivity significantly.
- Users love the **automation capabilities** of QuerySurge, enabling efficient data testing and faster development cycles.
- Users appreciate the **powerful data handling capabilities** of QuerySurge, enhancing efficiency in large-scale data testing.
- Users praise the **easy setup** of QuerySurge, enhancing productivity and streamlining onboarding for teams.

##### Cons

- Users note the **limited data source support** in QuerySurge, requiring extra steps for JSON validation and reducing efficiency.
- Users note a **lack of support for JSON and REST API sources** , complicating the validation process for modern data pipelines.
- Users experience **inaccuracy issues** with differing failure counts, reducing clarity and complicating data validation efforts.
- Users often experience **slow performance** with QuerySurge, especially during complex operations and with large datasets.
- New users may find the **complex setup** of QuerySurge daunting, especially with advanced configurations and large datasets.

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

**["QuerySurge Streamlines ETL Data Validation with Efficient SQL-Based Automation"](https://www.g2.com/survey_responses/querysurge-review-12931112)**

**Rating:** 5.0/5.0 stars

_— Kavyasri P._

[Read full review](https://www.g2.com/survey_responses/querysurge-review-12931112)

**["Useful for ETL data validation and saves manual effort"](https://www.g2.com/survey_responses/querysurge-review-12692896)**

**Rating:** 5.0/5.0 stars

_— Ashitosh S._

[Read full review](https://www.g2.com/survey_responses/querysurge-review-12692896)

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

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

**Average Rating:** 4.0/5.0

**Total Reviews:** 114

#### How Do G2 Users Rate IBM StreamSets?

- **Data Observability:** 6.7/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.1/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.4/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind IBM StreamSets?

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

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Large, 34% Medium

#### What Do G2 Reviewers Say About IBM StreamSets?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in IBM StreamSets, highlighting its intuitive interface and beginner-friendly features.
- Users praise the **user-friendly drag-and-drop interface** of IBM StreamSets, enhancing visualization and debugging efficiency.
- Users value the **effective data management capabilities** of IBM StreamSets for seamless integration and automation across environments.
- Users appreciate the **simplification of data integration workflows** in IBM StreamSets, making pipeline creation intuitive and efficient.
- Users value the **wide range of integrations** offered by IBM StreamSets, enhancing cloud and on-premise data connectivity.

##### Cons

- Users experience a **steep learning curve** , particularly when using advanced features and managing complex pipelines effectively.
- Users find the **pricing to be excessive** , especially for smaller teams, impacting overall satisfaction with IBM StreamSets.
- Users find the **learning difficulty** of advanced features in StreamSets to be time-consuming and not well-supported.
- Users often experience **slow performance** with IBM StreamSets, particularly when processing large volumes of data or complex pipelines.
- Users find the **steep learning curve** of IBM StreamSets challenging, especially with advanced features and configurations.

#### What Are Recent G2 Reviews of IBM StreamSets?

**["Powerful Data Integration With IBM Stream sets."](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)**

**Rating:** 5.0/5.0 stars

_— Abhishek D._

[Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-11654909)

**["Simplifies Real-Time Data Pipelines with Mixed Customization"](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)**

**Rating:** 4.0/5.0 stars

_— Sravya A._

[Read full review](https://www.g2.com/survey_responses/ibm-streamsets-review-12240946)

#### What Are G2 Users Discussing About IBM StreamSets?

- [What is StreamSets used for?](https://www.g2.com/discussions/what-is-streamsets-used-for)
- [What is StreamSets data collector?](https://www.g2.com/discussions/what-is-streamsets-data-collector)
- [What is StreamSets control hub?](https://www.g2.com/discussions/what-is-streamsets-control-hub)
- [Are StreamSets free?](https://www.g2.com/discussions/are-streamsets-free)
- [What is StreamSets tool?](https://www.g2.com/discussions/what-is-streamsets-tool) - 1 comment

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

Acceldata is an autonomous data and AI platform that helps enterprise data, engineering, and AI teams run analytics and deploy AI agents across hybrid, multi-cloud, on-premises, and sovereign data environments, without requiring data consolidation or migration. Most enterprise data platforms were built on the assumption that data would eventually centralize into a single warehouse or lakehouse. In practice, large enterprises operate four or more data platforms simultaneously, with data distributed across cloud providers, on-premises systems, and regulated environments that cannot move data across borders. Acceldata addresses this by bringing compute to wherever data already resides, rather than forcing data to move to the compute engine. The platform is built with an xLake architecture, which provides a unified layer for running, governing, and observing data workloads across any combination of infrastructure. It supports petabyte-scale analytics, agentic data workflows, and AI agent deployment under a single governance and cost management framework. Key capabilities include: 1. Data and AI Observability — End-to-end monitoring of data pipelines, data quality, AI agent behavior, and LLM outputs. Includes anomaly detection, data lineage, reconciliation, and alert management across environments. 2. Agentic Data Management (ADM) — Deploys autonomous agents to automate data quality monitoring, pipeline operations, catalog management, and incident response across distributed data estates. 3. Agentic Data Engineering (ADE) — Builds, orchestrates, and runs data pipelines using intelligent agents that automate pipeline creation, federated querying, and job management. 4. Data Warehousing — Executes queries in-place across lakehouses and warehouses using a Velox-accelerated engine, supporting open formats including Apache Iceberg, Delta Lake, Hudi, and Parquet with no vendor lock-in. 5. Data Platform Modernization — Provides phased migration paths for enterprises running Hadoop or Cloudera infrastructure, with in-place, sidecar, and forklift migration options built on an open-source foundation. Acceldata is designed for large enterprises in financial services, life sciences, telecommunications, manufacturing, retail, and insurance, particularly organizations operating regulated data environments where governance and data residency requirements prevent full cloud migration. The platform integrates with Snowflake, Databricks, AWS, Azure, GCP, and major open-source data frameworks.

**Average Rating:** 4.4/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Acceldata?

- **Data Observability:** 9.5/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.5/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Acceldata?

- **Seller:** [Acceldata](https://www.g2.com/sellers/acceldata)
- **Company Website:** www.acceldata.io
- **Year Founded:** 2018
- **HQ Location:** Campbell, CA
- **Twitter:** @acceldataio  
340 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ff52e799d3a014d58eaea8cb85b707bea7fd8b9545c3b55ba9d8a6edf3cca69b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Facceldata&secure%5Burl_type%5D=linkedin_company_website)  
299 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 61% Large, 23% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Acceldata's **ease of use** , highlighting its simple interface and efficient data handling capabilities.
- Users praise the **fast and responsive customer support** of Acceldata, greatly enhancing their experience and efficiency.
- Users commend Acceldata for its **efficient monitoring** capabilities, enhancing data visibility and supporting quick decision-making.
- Users appreciate the **quick onboarding and effective support** of Acceldata, enhancing data management and strategy development.
- Users appreciate the **comprehensive monitoring tools** of Acceldata, enabling proactive data management and enhanced reliability.

##### Cons

- Users find the UX of Acceldata **lacking intuitiveness** and face issues with GUI elements and response time.
- Users find the **initial setup complex** , with a steep learning curve and documentation that needs improvement.
- Users find the **difficult setup** of Acceldata challenging, noting a steep learning curve and inadequate documentation.
- Users find the **learning curve steep** , making initial setup and documentation improvement necessary for better user experience.
- Users find the **learning difficulty** of Acceldata challenging, especially during the initial setup and system creation.

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

**["Enterprise Data Reliability and Observability Platform with Strong Customization"](https://www.g2.com/survey_responses/acceldata-review-12122073)**

**Rating:** 5.0/5.0 stars

_— Jayakumar S._

[Read full review](https://www.g2.com/survey_responses/acceldata-review-12122073)

**["Versatile Data Observability with Brilliant Alerting and Monitoring"](https://www.g2.com/survey_responses/acceldata-review-12949346)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/survey_responses/acceldata-review-12949346)

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

Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

**Average Rating:** 4.3/5.0

**Total Reviews:** 54

#### How Do G2 Users Rate Sifflet?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.4/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind Sifflet?

- **Seller:** [Sifflet](https://www.g2.com/sellers/sifflet)
- **Year Founded:** 2021
- **HQ Location:** Paris, Ile-de-France
- **Twitter:** @Siffletdata  
389 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2fde8ecedb34ce0581533f271ac67d029297d93dec2e0e72fe88183727956d75&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsifflet%2F&secure%5Burl_type%5D=linkedin_company_website)  
50 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 75% Medium, 24% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Sifflet's **efficiency improvement** valuable for tracking issues and receiving timely alerts via Slack.
- Users appreciate the **ease of use** of Sifflet, benefiting from streamlined alerts and notifications for quick responses.
- Users appreciate the **ease of monitoring** with Sifflet, effectively identifying data anomalies and trends effortlessly.
- Users value the **full visibility of data lineage** offered by Sifflet, enhancing understanding of data flow and dependencies.
- Users value the **real-time alerting system** for effective issue tracking and quick action via Slack notifications.

##### Cons

- Users find **limited customization** for managing tags and bulk editing features, hindering a more streamlined experience.
- Users report a **complex setup process** for Sifflet, requiring significant time and effort for onboarding and monitoring.
- Users find the **alert management process overwhelming** , requiring significant time and attention to manage effectively.
- Users highlight the **limited integration** of Sifflet, especially for Hadoop and Elasticsearch, impacting major data loads.
- Users find that **lineage issues** can cause confusion and delays, particularly with large and complex datasets.

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

**["Sifflet’s AI-Powered Data Observability with Strong Lineage and Seamless Integrations"](https://www.g2.com/survey_responses/sifflet-review-12802515)**

**Rating:** 4.5/5.0 stars

_— Rinalon E._

[Read full review](https://www.g2.com/survey_responses/sifflet-review-12802515)

**["Sifflet Delivers Fast, Seamless Data Observability with Clear Dashboards"](https://www.g2.com/survey_responses/sifflet-review-12817611)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/survey_responses/sifflet-review-12817611)

### [Unravel Data](https://www.g2.com/products/unravel-data/reviews)

Unravel Data is an AI-powered data observability and FinOps platform that goes beyond just observing problems to empowering data teams to take immediate action for transformative results. Built to address the speed and scale of modern data platforms like Databricks, Snowflake, and BigQuery, Unravel’s AI-powered Insights Engine provides recommendations to make smarter decisions and optimize your cloud data analytics' performance, reliability, and efficiency. You get full-stack, 'workload-aware' contextual intelligence about your data applications and pipelines, with AI-driven recommendations on where and how to improve and optimize DataOps, analytics, and AI, helping you troubleshoot faster, meet SLAs, and keep budgets under control. With Unravel, data teams unlock business value from data more quickly and efficiently. Unravel leverages AI and automation to provide real-time, user-level spend reporting, code-level cost optimization tips, and automated spend controls designed to empower and unify DataOps and FinOps teams. With Unravel, data teams can monitor data flows through their pipelines, and detect code, configuration, and infrastructure issues. By correlating and analyzing the full stack of telemetry metadata, Unravel provides easy-to-understand insights, actionable recommendations, and automation to optimize performance and efficiency before you deploy into production. Unravel Data radically transforms the way businesses understand and optimize the performance and cost of their modern data applications – and the complex data pipelines that power those applications. Providing a unified view across the entire data stack, Unravel’s market-leading data observability platform leverages AI, machine learning, and advanced analytics to provide modern data teams with the actionable recommendations they need to turn data into insights. Recently recognized by CRN as a Cloud 100 Company for 2025 and named Best Data Tool & Platform of 2023 by the annual SIIA CODiE Awards, Unravel Data is trusted by some of the world’s most recognized brands, including Maersk, Mastercard, and Equifax to unlock data-driven insights and deliver new innovations to market.

**Average Rating:** 4.4/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate Unravel Data?

- **Data Observability:** 8.5/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 5.8/10 (Category avg: 10/10)

#### Who Is the Company Behind Unravel Data?

- **Seller:** [Unravel Data](https://www.g2.com/sellers/unravel-data)
- **Year Founded:** 2016
- **HQ Location:** Mountain View, CA
- **Twitter:** @unraveldata  
1,029 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1eb041149492f8c88f1908feb6e66f8e4393a69e908c3a66e6d98cf49818b928&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Funravel-data&secure%5Burl_type%5D=linkedin_company_website)  
107 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 81% Large, 17% Small

#### What Do G2 Reviewers Say About Unravel Data?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in Unravel Data, praising its user-friendly interface and straightforward AI agent setup.
- Users praise the **easy setup** of Unravel Data, finding it user-friendly and straightforward to add AI agents.
- Users appreciate the **efficiency in analyzing data** with Unravel Data, allowing for quick insights and issue diagnosis.
- Users value the **clear performance insights** provided by Unravel Data, enabling quick analysis and efficient troubleshooting.
- Users appreciate the **installation ease** of Unravel Data, enjoying a user-friendly interface and simple AI agent integration.

##### Cons

- Users find the **limited features** of Unravel Data hinder their ability to manage complex datasets and insights.
- Users find that the **complex configuration** of advanced features makes tuning detailed performance metrics challenging and frustrating.
- Users find the **complex setup** of Unravel Data challenging, especially when tuning advanced performance metrics and interpreting insights.
- Users find the **configuration difficulty** in Unravel Data's advanced features frustrating and complicating their experience.
- Users find that **configuration issues** complicate understanding insights and tuning advanced performance metrics in Unravel Data.

#### What Are Recent G2 Reviews of Unravel Data?

**["Effortless Access and Intuitive Interface with Easy AI Agent Integration"](https://www.g2.com/survey_responses/unravel-data-review-12186115)**

**Rating:** 4.0/5.0 stars

_— Dev Saran S._

[Read full review](https://www.g2.com/survey_responses/unravel-data-review-12186115)

**["Performance Insights with Managing Data Workloads"](https://www.g2.com/survey_responses/unravel-data-review-11989457)**

**Rating:** 4.0/5.0 stars

_— Pradyumn G._

[Read full review](https://www.g2.com/survey_responses/unravel-data-review-11989457)

#### What Are G2 Users Discussing About Unravel Data?

- [What is Unravel Data used for?](https://www.g2.com/discussions/what-is-unravel-data-used-for)

### [Ascend.io](https://www.g2.com/products/ascend-io-ascend-io/reviews)

Ascend.io is an agentic data engineering platform that enables data teams to build, automate, and optimize pipelines across the entire data lifecycle. The platform combines a metadata-driven automation engine with integrated AI agents, allowing engineers to focus on delivering data outcomes rather than managing operational overhead. Traditional data architectures rely on multiple point solutions—one for ingestion, another for transformation, a third for orchestration. This fragmentation makes automation difficult and creates operational burden. Ascend unifies these capabilities in a single environment, giving AI agents full context to take meaningful action across the entire data ecosystem. The platform handles ingestion, transformation, orchestration, and delivery within one unified system, eliminating the need to stitch together disparate tools with custom code. Otto, the platform's AI copilot, helps engineers generate code, write documentation, troubleshoot incidents, and optimize performance—all within the context of their actual pipelines. DataOps Agents handle routine operational tasks including incident response, code reviews, and performance monitoring, reducing the maintenance burden that typically consumes significant engineering capacity. The Intelligence Core continuously collects metadata across code, infrastructure, and data lineage, enabling the system to detect changes and propagate updates automatically without manual intervention. Smart Components track code fingerprints and data lineage to execute incremental processing efficiently, reducing compute costs and processing time. Ascend connects natively to major cloud data warehouses including Snowflake, Databricks, BigQuery, and MotherDuck. Organizations use the platform to modernize legacy ETL systems, implement data mesh architectures, and prepare data for AI and machine learning workloads. The platform serves data engineering and platform teams across healthcare, financial services, retail, media, and manufacturing. The platform's AI-native architecture differentiates it from solutions that treat AI as an add-on feature. The unified design provides AI agents with comprehensive context across the data ecosystem, enabling them to take action on issues rather than simply surfacing alerts.

**Average Rating:** 4.7/5.0

**Total Reviews:** 9

#### How Do G2 Users Rate Ascend.io?

- **Data Observability:** 8.3/10 (Category avg: 9.0/10)
- **Ease of Use:** 9.1/10 (Category avg: 9.0/10)

#### Who Is the Company Behind Ascend.io?

- **Seller:** [Ascend.io](https://www.g2.com/sellers/ascend-io-71765567-7679-4b4f-9ab8-867fdacc2bb6)
- **Company Website:** www.ascend.io
- **Year Founded:** 2015
- **HQ Location:** Palo Alto, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3de94db68534be8de31d32c5ab46767e38fab31990e2d95bbace2f64b1389c35&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fascend-io%2F&secure%5Burl_type%5D=linkedin_company_website)  
23 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 56% Small, 11% Medium

#### What Do G2 Reviewers Say About Ascend.io?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Ascend.io, enabling efficient and flexible data pipeline solutions effortlessly.
- Users are impressed with the **automation capabilities** of Ascend.io, significantly reducing manual workload and enhancing efficiency.
- Users commend Ascend.io for its **efficiency improvement** , allowing rapid execution of complex data tasks and workflows.
- Users appreciate the **flexibility** of Ascend.io, enabling them to solve complex data pipeline challenges efficiently and intuitively.
- Users appreciate the **efficient solution** provided by Ascend.io, significantly reducing time spent on data pipeline tasks.

##### Cons

- Users find the **difficult learning curve** challenging when transitioning to Ascend.io's declarative automation approach.
- Users face a **steep learning curve** when transitioning to Ascend.io's declarative approach and understanding its features.
- Users face a significant **learning difficulty** in adapting to Ascend.io’s declarative model compared to traditional scripting methods.
- Users note a **limited selection of models** in Ascend.io, impacting their ability to fully customize their experience.
- Users face a significant **steep learning curve** when transitioning to Ascend.io's declarative mindset and platform features.

#### What Are Recent G2 Reviews of Ascend.io?

**["Agentic Data Engineering Shows Real Promise, But Requires Mental Shift"](https://www.g2.com/survey_responses/ascend-io-review-12297132)**

**Rating:** 4.5/5.0 stars

_— Stefano T._

[Read full review](https://www.g2.com/survey_responses/ascend-io-review-12297132)

**["Ascend.io demonstrates how powerful agents are"](https://www.g2.com/survey_responses/ascend-io-review-12345212)**

**Rating:** 5.0/5.0 stars

_— Alina V._

[Read full review](https://www.g2.com/survey_responses/ascend-io-review-12345212)

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

Daasity enables omnichannel consumer brands to be data-driven. Built by analysts and engineers, the Daasity platform supports the varied data architecture, analytics, and reporting needs of consumer brands selling via eCommerce, Amazon, retail, and wholesale. Using Daasity, teams across the organization get a centralized and normalized view of all their data, regardless of the tools in their tech stack and how their future data needs may change. For more information about Daasity, our 60+ integrations, and how the platform drives more profitable growth for 1600+ brands, visit us at Daasity.com.

**Average Rating:** 4.7/5.0

**Total Reviews:** 17

#### How Do G2 Users Rate daasity?

- **Data Observability:** 6.7/10 (Category avg: 9.0/10)
- **Testing capabilities:** 6.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.2/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 10/10 (Category avg: 10/10)

#### Who Is the Company Behind daasity?

- **Seller:** [daasity](https://www.g2.com/sellers/daasity)
- **Year Founded:** 2017
- **HQ Location:** San Diego, US
- **Twitter:** @Daasity  
186 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6d9c8e6b73fd52059745f05b481f1ca81b93b6357939a2abae00d4e3556a87db&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18214289&secure%5Burl_type%5D=linkedin_company_website)  
36 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Consumer Goods
- **Company Size:** 47% Medium, 47% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **comprehensive integrations** and dashboard templates that simplify data visualization for everyone.
- Users find the **customer support** helpful with integrations and visualizations, enhancing their overall experience with Daasity.
- Users find the **data visualization tools** intuitive, benefiting from templates and seamless integrations for insights.
- Users appreciate the **helpful documentation** of Daasity, facilitating easy integration and visualization for non-experts.
- Users find Daasity's platform **easy to use** , especially with its integration and ready-to-use dashboard templates.

##### Cons

- Users find the **dashboard issues** challenging due to a steep learning curve and coding-intensive data modeling.
- Users find the **steep learning curve** of Daasity challenging, especially for prototyping and interactive dashboards.
- Users find the **steep learning curve** of Daasity challenging, especially for data modeling and interactive dashboard creation.
- Users find that the **steep learning curve** and coding-intensive data modeling complicate their experience with Daasity.
- Users find the **steep learning curve and coding-intensive data modeling** of Daasity challenging for quick prototyping.

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

**["Flexible Data Platform That Scales With Your Business Needs"](https://www.g2.com/survey_responses/daasity-review-12583904)**

**Rating:** 5.0/5.0 stars

_— Hannah D._

[Read full review](https://www.g2.com/survey_responses/daasity-review-12583904)

**["Flexible Data Aggregation with Steep Learning Curve"](https://www.g2.com/survey_responses/daasity-review-12608347)**

**Rating:** 4.5/5.0 stars

_— Oren R._

[Read full review](https://www.g2.com/survey_responses/daasity-review-12608347)

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

Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data, instead of their tools. Matia combines ingestion, reverse ETL, data cataloging, and observability into a single, unified interface. Rather than stitching together multiple tools for data movement, observability, and metadata tracking, teams use Matia to streamline their workflow, reduce vendor bloat, and improve data trust across the organization. Common use cases include syncing operational data into warehouse destinations, monitoring pipeline health with built-in alerts, documenting data assets automatically, and aligning data delivery with business-critical SLAs. Teams adopt Matia to simplify their stack, reduce engineering overhead, and create more transparent, reliable data infrastructure.

**Average Rating:** 4.9/5.0

**Total Reviews:** 34

#### How Do G2 Users Rate Matia?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 7.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.7/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 2.9/10 (Category avg: 10/10)

#### Who Is the Company Behind Matia?

- **Seller:** [Matia](https://www.g2.com/sellers/matia)
- **Year Founded:** 2023
- **HQ Location:** Miami, US
- **LinkedIn® Page:** [linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5e4c976b02a82b3b6116f60e96b58085a0c83185ed8f5ddd87fe217e326d4ff9&secure%5Burl%5D=http%3A%2F%2Flinkedin.com%2Fcompany%2Fmatia-data&secure%5Burl_type%5D=linkedin_company_website)  
54 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Computer Software
- **Company Size:** 62% Medium, 24% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise Matia's **exceptional customer support** , highlighting its quick response and effective troubleshooting for data operations.
- Users find Matia incredibly **easy to use** with streamlined setups and excellent support for pipeline creation.
- Users commend Matia for its **outstanding support and intuitive UI** , making data integration and syncing exceptionally easy.
- Users find **Matia's implementation ease** remarkable, with quick responses and seamless integration into existing workflows.
- Users highlight the **easy integrations** of Matia, allowing seamless setup and collaboration within existing systems.

##### Cons

- Users note the **limited connectors** available in Matia, though the team is responsive to integration requests.
- Users find Matia's **user interface unintuitive** , leading to frustrations and slower performance with numerous integrations.
- Users find the **UI to be unintuitive and sluggish** , impacting overall user experience and efficiency.
- Users note **limited features** in Matia compared to competitors, but appreciate the team’s quick responses and support.
- Users note the **limited integration options** of Matia, wishing for more data connections for enhanced functionality.

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

**["Easy to Use, Great Support, and Excellent Value"](https://www.g2.com/survey_responses/matia-review-13162951)**

**Rating:** 5.0/5.0 stars

_— Greg W._

[Read full review](https://www.g2.com/survey_responses/matia-review-13162951)

**["Seamless Transition, Outstanding Value"](https://www.g2.com/survey_responses/matia-review-12570399)**

**Rating:** 5.0/5.0 stars

_— Jonah J._

[Read full review](https://www.g2.com/survey_responses/matia-review-12570399)

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

One platform with all the tools your data team needs to develop and transform data faster, collaborate better, and take data development to the next level - powered by AI. From data transformation, to validation, lineage, observability, data catalog, data pipelines and much more - all in a simple to use cloud solution.

**Average Rating:** 4.7/5.0

**Total Reviews:** 7

#### How Do G2 Users Rate Montara?

- **Data Observability:** 8.8/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.3/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 0/10 (Category avg: 10/10)

#### Who Is the Company Behind Montara?

- **Seller:** [Montara](https://www.g2.com/sellers/montara)
- **Year Founded:** 2023
- **HQ Location:** Milpitas, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=40bf8a88bedbfb9042ae379c2ba9a1b3dee080f21fcef2e0c13bc21ae46b9260&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmontarainc&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 86% Medium, 14% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **user-friendly design** of Montara, making it intuitive and simple to navigate and implement.
- Users appreciate the **user-friendly platform and responsive support** of Montara, which enhances collaboration and efficiency.
- Users commend the **amazing responsiveness and support** from the Montara team, ensuring smooth user experiences and solutions.
- Users find the **implementation process easy** with Montara, leading to a smooth start and frequent use.
- Users love the **customization features** of Montara, allowing analysts to efficiently prepare tables tailored to their needs.

##### Cons

- Users find **integration issues** with Montara, noting the need for improved custom support for smoother experiences.
- Users note the **missing features** in Montara due to its early development stage and ongoing beta releases.
- Users experience **product maturity issues** as the new Montara is still unstable and has beta features.
- Users report **unreliability** with Montara initially, citing stability issues and beta features affecting performance.
- Users feel that the **design features of queries and autocomplete** in Montara need significant improvement for better usability.

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

**["The new gold standard for running the analytics team"](https://www.g2.com/survey_responses/montara-review-11820405)**

**Rating:** 5.0/5.0 stars

_— Ayala A._

[Read full review](https://www.g2.com/survey_responses/montara-review-11820405)

**["Finally self-service data modeling for analysts"](https://www.g2.com/survey_responses/montara-review-11786289)**

**Rating:** 5.0/5.0 stars

_— Cory B._

[Read full review](https://www.g2.com/survey_responses/montara-review-11786289)

### [Seemore Data](https://www.g2.com/products/seemore-data/reviews)

Seemore Data is an autonomous data efficiency platform purpose-built for Snowflake cost optimization and end-to-end data warehouse optimization. It uses a context-aware AI agent to continuously analyze, explain, and optimize cost, performance, and usage across Snowflake and the modern data stack. Unlike passive dashboards, Seemore acts as an autonomous agent, automatically right-sizing warehouses, eliminating idle compute, and preventing cost anomalies before they escalate. With deep lineage and business context, teams can trace every dollar spent back to queries, pipelines, dashboards, and owners. The result: predictable Snowflake spend, faster performance, and data teams that scale impact without adding headcount.

**Average Rating:** 4.5/5.0

**Total Reviews:** 13

#### How Do G2 Users Rate Seemore Data?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Ease of Use:** 9.0/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 3.3/10 (Category avg: 10/10)

#### Who Is the Company Behind Seemore Data?

- **Seller:** [Seemore Data](https://www.g2.com/sellers/seemore-data)
- **Year Founded:** 2023
- **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=96d811e4a7fb23add7d4cfd350ac0ab1486042d89623959dfcf549075c2d5957&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fseemore-data%2F&secure%5Burl_type%5D=linkedin_company_website)  
18 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 62% Medium, 23% Small

#### What Do G2 Reviewers Say About Seemore Data?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **responsive customer support** of Seemore Data, rapidly implementing feedback and evolving the platform's features.
- Users love the **ease of use** of Seemore Data, benefiting from quick feature implementations and excellent customer support.
- Users value the **cost-effective solution** of Seemore Data, benefiting from significant savings and efficient features.
- Users appreciate the **automation and visualization capabilities** of Seemore Data, significantly enhancing data management efficiency.
- Users value the **responsive automation** of Seemore Data, enhancing functionality and reducing operational costs effectively.

##### Cons

- Users find **lineage limitations** to be burdensome, complicating data sharing and real-time collaboration with colleagues.
- Users find **data inaccuracy issues** in Seemore Data, affecting functionality and data governance negatively.
- Users find the **data lineage issues** cumbersome, complicating real-time collaboration and report sharing among colleagues.
- Users find the **data sharing process burdensome** , especially due to awkward manual exports and lack of governance features.
- Users find the **user interface not intuitive** , making the helpful Lineage feature challenging to use effectively.

#### What Are Recent G2 Reviews of Seemore Data?

**["Helpful End-to-End Data Visibility with Responsive Seemore Data Support"](https://www.g2.com/survey_responses/seemore-data-review-12235103)**

**Rating:** 4.5/5.0 stars

_— John H._

[Read full review](https://www.g2.com/survey_responses/seemore-data-review-12235103)

**["Strong cost savings and lineage, fast-moving product"](https://www.g2.com/survey_responses/seemore-data-review-12329815)**

**Rating:** 5.0/5.0 stars

_— Zach B._

[Read full review](https://www.g2.com/survey_responses/seemore-data-review-12329815)

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

Validio helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational data. Validio's AI-powered platform automatically monitors and validates both data and business KPIs, surfacing issues in real-time. This enables confident data-driven decision making across business domains such as user experiences, personalization, growth, and product development.

**Average Rating:** 5.0/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate Validio?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 9.7/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.6/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 6.7/10 (Category avg: 10/10)

#### Who Is the Company Behind Validio?

- **Seller:** [Validio](https://www.g2.com/sellers/validio)
- **Year Founded:** 2019
- **HQ Location:** Stockholm, SE
- **Twitter:** @Validio\_Data  
65 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=254932f204cf00eb40826392664feff23c58038846d44a13391b87715c9135dd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvalidio-ab%2F&secure%5Burl_type%5D=linkedin_company_website)  
38 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software
- **Company Size:** 63% Medium, 25% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Validio's **easy data validation setup** enhances monitoring and ensures quick responses to quality issues.
- Users highlight the **ease of use** of Validio, making setup and implementation a seamless experience.
- Users value the **ease of setting up ML validations** in Validio, enhancing data quality monitoring and responsiveness.
- Users value the **access ease** of Validio, facilitating quick setup and efficient data validation for new datasets.

##### Cons

- Users desire greater **customizability in filtering segments** for validations, which currently limits their flexibility.
- Users find the **limited customization** of Validio restrictive, particularly for advanced features and reporting needs.

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

**["Validio is an automated data observability and quality platform that enhances data team productivity"](https://www.g2.com/survey_responses/validio-review-11907076)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/validio-review-11907076)

**["Journey with Validio"](https://www.g2.com/survey_responses/validio-review-11838087)**

**Rating:** 4.5/5.0 stars

_— Ratiu V._

[Read full review](https://www.g2.com/survey_responses/validio-review-11838087)

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

What is iceDQ? iceDQ empowers organizations to ensure data trust and reliability throughout the data lifecycle. Our comprehensive platform combines data testing, data monitoring, and data observability into a single solution, enabling data engineers to proactively manage data quality and eliminate data issues before they impact business decisions. Leading companies across industries, including prominent players in banking, insurance, and healthcare, rely on iceDQ to continuously test, monitor, and observe their data-driven systems. This ensures trustworthy data that fuels informed decision-making and drives business success.

**Average Rating:** 5.0/5.0

**Total Reviews:** 6

#### How Do G2 Users Rate iceDQ?

- **Data Observability:** 6.7/10 (Category avg: 9.0/10)
- **Testing capabilities:** 8.9/10 (Category avg: 8.7/10)
- **Ease of Use:** 10.0/10 (Category avg: 9.0/10)

#### Who Is the Company Behind iceDQ?

- **Seller:** [Torana](https://www.g2.com/sellers/torana)
- **HQ Location:** Stamford, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0b297a7e61b8a3aecef61a55a38aa85524cab0dec1ce44c1e570221b7bc3941e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ficedq%2F&secure%5Burl_type%5D=linkedin_company_website)  
175 employees on LinkedIn®

#### Who Uses This Product?

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

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automation capabilities** of iceDQ, enhancing testing efficiency and simplifying test case generation.
- Users commend the **exceptional customer support** of iceDQ, consistently noting its responsiveness and helpfulness in resolving issues.
- Users find iceDQ's interface **easy to use** , benefiting from powerful AI capabilities for automation and support.
- Users love the **intuitive interface and powerful Gen AI capabilities** of iceDQ, making testing effortless and efficient.

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

**["Accelerated Data Testing with iceDQ"](https://www.g2.com/survey_responses/icedq-review-9977677)**

**Rating:** 5.0/5.0 stars

_— Verified User in Insurance_

[Read full review](https://www.g2.com/survey_responses/icedq-review-9977677)

**["Automate your ETL testing with iceDQ"](https://www.g2.com/survey_responses/icedq-review-8816286)**

**Rating:** 5.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/icedq-review-8816286)

### [Datagaps DataOps Suite](https://www.g2.com/products/datagaps-dataops-suite/reviews)

Founded in 2010, Datagaps is a US-based enterprise software company headquartered in Herndon,VA. Datagaps is the only vendor recognized by Gartner in BOTH the DataOps Tools market guide AND the Data Observability market guide — a distinction no other data testing platform holds. WHAT WE DO Datagaps makes data trustworthy across the entire pipeline — from data ingestion and ETL/ELT transformations, through data quality monitoring, to BI dashboard validation and AI model input testing — on a single, unified DataOps Suite platform. THE PROBLEM WE SOLVE Enterprise data teams lose an average of $15M annually to poor data quality (Source: Gartner). 70% of data migration failures surface post go-live. 59% of organizations cannot quantify their own BI consistency gap. Datagaps eliminates these risks with automated, end-to-end validation that detects issues before they reach production. HOW WE'RE DIFFERENT Unlike point tools that test one stage, Datagaps covers every layer — ETL pipelines, data quality and consistency, semantic validation, BI dashboards, and AI/ML inputs — from a single platform with shared rules, one audit trail, and one vendor. Agentic AI auto-generates tests, self-heals schema drift, summarizes report differences, and recommends smart quality rules. OUTCOMES DELIVERED 500B+ Records validated across ETL & cloud pipelines 10M+ Automated test cases run with zero manual scripting 80% Faster test cycles vs. manual testing approach 60% Reduction in data errors detected before production 70% Reduction in ETL validation spend 200+ Native data source connectors Trusted by 100+ enterprise customers across Financial Services, Healthcare, Life Sciences, FMCG, Retail, Higher Education PRODUCTS AND PLATFORM • DataOps Suite — Unified platform for end to end data validation and analytics testing powered by Agentic AI • ETL Validator — Automated ETL/ELT testing with Agentic AI; 200+ native connectors • BI Validator — Automated BI report validation for Power BI, Tableau, Oracle Analytics • Data Quality Monitor — Proactive data quality with Agentic AI: Predict, Prevent, Govern • Test Data Manager — Compliant and realistic test data generation with Agentic AI TECHNICAL CREDENTIALS SOC 2 Type II | US Patent (ELV architecture) | Informatica Certified | Embedded LLM (data stays in your environment) | Gartner DataOps Tools Guide | Gartner Data Observability Guide INTEGRATIONS 200+ Snowflake, Databricks, Azure Synapse, Amazon Redshift, Google BigQuery, Salesforce, Microsoft Power BI, Tableau, Oracle Analytics, Informatica, Talend, SSIS, dbt

**Average Rating:** 4.5/5.0

**Total Reviews:** 9

#### How Do G2 Users Rate Datagaps DataOps Suite?

- **Data Observability:** 10.0/10 (Category avg: 9.0/10)
- **Testing capabilities:** 10.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.5/10 (Category avg: 9.0/10)
- **What is your organization's estimated ROI on the product (payback period in months)?:** 5.0/10 (Category avg: 10/10)

#### Who Is the Company Behind Datagaps DataOps Suite?

- **Seller:** [Datagaps](https://www.g2.com/sellers/datagaps-48d8e545-f270-4675-88aa-cfe4d96bc8c3)
- **Year Founded:** 2010
- **HQ Location:** Herndon, US
- **Twitter:** @datagaps  
49 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=dafd1493fd783b65bac372f9dc8f19eab155f4acd0ba240658299202adfc6041&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatagaps%2F%3FviewAsMember%3Dtrue&secure%5Burl_type%5D=linkedin_company_website)  
123 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 78% Large, 11% Small

#### What Do G2 Reviewers Say About Datagaps DataOps Suite?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use and implementation** of Datagaps DataOps Suite, enabling smooth operation for everyone.
- Users appreciate the **automation capabilities** of Datagaps DataOps Suite, enhancing efficiency and simplifying complex data processes.
- Users appreciate the **high data accuracy** achieved by Datagaps DataOps Suite, enhancing trust in analytics and reporting.
- Users appreciate the **easy integrations** of Datagaps DataOps Suite, enhancing functionality across various platforms effortlessly.
- Users appreciate the **flexibility and comprehensive features** of Datagaps DataOps Suite for seamless data management.

##### Cons

- Users find the **complex setup** of Datagaps DataOps Suite to be time-consuming before enjoying its benefits.
- Users find **dependency issues** problematic, wishing for improved options to automate long-running job management.
- Users note that the **difficult setup** of Datagaps DataOps Suite can be time-consuming but rewards with effective data quality management.
- Users note the **lack of automation** , especially for cleaning up long-running jobs, hindering workflow efficiency.
- Users report a significant **learning curve** for teams adapting to DataOps practices and automation methods.

#### What Are Recent G2 Reviews of Datagaps DataOps Suite?

**["User-Friendly Interface with Powerful End-to-End Data Validation"](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830)**

**Rating:** 4.0/5.0 stars

_— Somesh T._

[Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830)

**["Flexible, Powerful, and Seamless DataOps Solution"](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647)**

**Rating:** 5.0/5.0 stars

_— Venkata Jyothi D._

[Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647)

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