# Best DataOps Platforms - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* DataOps platforms act as command centers for DataOps. These solutions orchestrate people, processes, and technology to deliver a trusted data pipeline to their users. DataOps platforms assemble several types of data management software into an individual, integrated environment. Data flows in a simple manner from various data sources. These platforms are used to leverage any analytical tool—from data collection to data reporting via a single integrated platform. The platform unifies all the development and operations in data workflows. DataOps platforms are used to provide the flexibility to support a vast number of existing and new tools, as they are added. Organizations use the platform to control the entire workflow and related processes and ensure data-driven decisions are being made. Cycle times are reduced significantly and users are empowered with a single point of access to manage the data. Companies can leverage DataOps platforms to derive on-demand insights for successful business decisions. DataOps platforms are primarily used by analytics and data teams within an organization; they are cross-functional and can be used across multiple verticals such as healthcare, finance, and others. IT operation teams can reduce storage infrastructure and increase staff productivity using a DataOps platform. Development and testing teams can decrease development cycles, app development times and reduce errors significantly by using this consolidated platform. To qualify for inclusion in the DataOps category, a product must: - Enable collaboration between data providers and data consumers to ensure data fluidity - Combine different data management practices within a single platform, acting as an end-to-end solution - Completely automate end-to-end data workflows across the data integration lifecycle - Provide a dashboard and visualization tools to support data analysis and collaboration between various stakeholders - Support deployment on any cloud environment ## Top DataOps Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,284 reviews) | Unified lakehouse DataOps with cross-team collaboration | "[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)" | | 2 | [Flip](https://www.g2.com/products/kanerika-flip/reviews) | 5.0/5.0 (13 reviews) | AI-assisted pipeline validation and DataOps automation | "[FLIP Delivers Fast, Automated Retail Reporting for New SKU Performance](https://www.g2.com/survey_responses/flip-review-12253012)" | | 3 | [5X](https://www.g2.com/products/5x/reviews) | 4.9/5.0 (81 reviews) | End-to-end DataOps with unified stack consolidation | "[A reliable and scalable data partner](https://www.g2.com/survey_responses/5x-review-11889175)" | | 4 | [dbt](https://www.g2.com/products/dbt/reviews) | 4.7/5.0 (207 reviews) | SQL-based ELT transformation with version-controlled lineage | "[Simple SQL-Driven Materializations with Powerful Lineage](https://www.g2.com/survey_responses/dbt-review-12985641)" | | 5 | [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) | 4.3/5.0 (138 reviews) | Zero-copy DataOps inside ServiceNow workflows | "[Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)" | | 6 | [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) | 4.3/5.0 (522 reviews) | ML-driven pipeline anomaly detection and lineage | "[Smart Data Observability and Lineage That Saves Hours of Debugging](https://www.g2.com/survey_responses/monte-carlo-review-12935974)" | | 7 | [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) | 4.5/5.0 (135 reviews) | Managed Airflow orchestration for infrastructure-free pipeline ops | "[Asro literally assists in data engineering work, making it easier and more productive.](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)" | | 8 | [kestra](https://www.g2.com/products/kestra-technologies-kestra/reviews) | 4.6/5.0 (24 reviews) | Declarative AI pipeline orchestration with native observability | "[The Adamantium to my fragile AI pipeline](https://www.g2.com/survey_responses/kestra-review-12931708)" | | 9 | [Y42](https://www.g2.com/products/y42-y42/reviews) | 4.9/5.0 (21 reviews) | dbt-native end-to-end DataOps pipelines | "[Great integrated cloud platform with smooth workflows to build and run data pipelines](https://www.g2.com/survey_responses/y42-review-8532682)" | | 10 | [Peliqan](https://www.g2.com/products/peliqan/reviews) | 4.8/5.0 (78 reviews) | Multi-source ELT pipelines with unified data activation | "[Peliqan Makes Multi-Client AI Setups Simple and Consistent Across Claude and ChatGPT](https://www.g2.com/survey_responses/peliqan-review-12993223)" | --- ## What Are the Most Common Questions About DataOps Platforms? *AI-generated · Last updated: May 26, 2026* ### What DataOps Platforms that remove friction between teams and simplify collaborative workflows in enterprise environments? Based on G2 reviews, buyers in this category often look for platforms that reduce handoffs by bringing engineering, analytics, and governance work into one environment. Reviewers mention shared notebooks, unified workspaces, built-in lineage, and easier coordination across pipelines, models, and reporting as the biggest workflow improvements. According to verified users, Databricks is repeatedly described as helping teams collaborate in shared notebooks, centralize data engineering and analytics, and reduce the need to switch between disconnected tools. G2 reviewers also mention products like ILUM and ServiceNow Workflow Data Fabric for improving visibility and connecting fragmented systems, though review themes vary by use case and team maturity. ### What most trusted DataOps Platforms by Senior Data Engineers based on user reviews? Based on G2 reviews, trust in this category is usually tied to reliability, scalability, and how consistently a platform supports production workflows. According to verified users, Databricks appears most often in recent reviews and is repeatedly described as a dependable platform for large-scale processing, ETL, analytics, and machine learning in one place. G2 reviewers mention strong collaboration, broad cloud integrations, and support for unified lakehouse workflows, while also noting a learning curve and the need for cost discipline. In this review set, Databricks stands out as the most frequently mentioned option by practitioners working in enterprise-scale data environments, which makes it the clearest trusted choice from recent reviewer volume. ### Which DataOps Platforms reduce processing times from days to hours for competitive quotes? Based on G2 reviews, several products are described as speeding up data preparation, validation, and reporting by automating manual work and reducing pipeline complexity. According to verified users, Databricks is often associated with faster ETL, large-scale processing, and simpler end-to-end workflows, while QuerySurge reviewers highlight quicker regression testing and automated source-to-target validation. G2 reviewers also mention 5X for consolidating ingestion, transformation, and analytics into one platform that helps teams move faster. The best fit depends on whether your bottleneck is heavy data processing, testing and validation, or dashboard and pipeline delivery, but these products are the ones recent reviewers most often connect to faster turnaround times. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews/databricks-review-12866693) – used for large-scale ETL, analytics, and unified workflows that reviewers say speed up processing and collaboration - [QuerySurge](https://www.g2.com/products/querysurge/reviews/querysurge-review-12698761) – focused on automated ETL validation and faster regression testing across source and target systems - [5X](https://www.g2.com/products/5x/reviews/5x-review-11905989) – brings ingestion, modeling, and dashboards together to reduce manual pipeline and reporting work ### What DataOps Platforms that Data Engineers adopt for fast ETL pipelines and keep using daily? Based on G2 reviews, daily-use adoption tends to follow products that simplify recurring ETL work, reduce maintenance overhead, and keep monitoring visible in one place. According to verified users, Databricks is frequently described as a daily workspace for ETL, streaming, notebook-based collaboration, and large-scale data processing. G2 reviewers also mention dbt for version-controlled SQL transformations and repeatable modeling workflows, and Keboola for easy flow setup and broad connector coverage. Across these reviews, the common pattern is consistent use by teams that need reliable automation, reusable logic, and less manual intervention. The strongest recent signals point to Databricks, dbt, and Keboola as platforms reviewers keep embedded in day-to-day work. ### What highest rated DataOps Platforms for creating unified workspace supporting Python, SQL, and Scala? Based on G2 reviews, buyers looking for a unified workspace often prioritize notebook collaboration, support for multiple languages, and fewer tool handoffs between engineering and analytics teams. According to verified users, Databricks is the clearest match in recent reviews because users repeatedly mention working across Python, SQL, and Scala in shared notebooks and a single workspace. G2 reviewers describe it as helpful for building pipelines, running analytics, and supporting machine learning without splitting work across multiple platforms. Reviews also highlight unified catalog and governance capabilities, though some users note the interface can feel complex as usage expands. In this dataset, Databricks has the strongest and most consistent support for this exact workflow style. ### What DataOps Platforms Senior Data Engineers rely on for handling massive datasets effortlessly? Based on G2 reviews, platforms in this category are valued for distributed processing, scalable pipeline execution, and the ability to keep performance manageable as data volumes grow. According to verified users, Databricks is most often praised for handling very large datasets, batch and streaming workloads, and complex ETL within a unified environment. G2 reviewers also mention products like 5X and ILUM for integrated data operations and scalable compute patterns, but those signals are far lighter in recent review count. The strongest recurring reviewer language around massive datasets centers on Spark-based processing, autoscaling, and simplified infrastructure management, which makes Databricks the most grounded answer from the current review set. ### Which DataOps Platforms offer built-in data quality checks and lineage tracking at scale? Based on G2 reviews, buyers should look for products that combine automated monitoring with lineage views, root-cause investigation, and broad stack integrations. According to verified users, Monte Carlo is one of the clearest fits in recent reviews because users repeatedly mention automated anomaly detection, lineage visualization, freshness and schema monitoring, and centralized alerting. G2 reviewers also point to Sifflet for data observability, anomaly detection, and end-to-end lineage, while Secoda is mentioned for metadata and lineage centralization. Review patterns suggest Monte Carlo is especially strong when teams need proactive issue detection and impact tracing across large data environments rather than only basic cataloging or documentation. ### Which DataOps Platforms have transparent pricing models without credit system cost leakage? Based on G2 reviews, pricing clarity is a mixed theme in this category, and many reviewers still call out complexity or the need for closer monitoring. According to verified users, dbt receives some of the clearer positive pricing feedback in recent reviews, with users describing pricing as predictable. G2 reviewers also mention 5X as cost-efficient and a good value when consolidating multiple tools, while Seemore Data is described as helping reduce warehouse costs through optimization features. At the same time, many Databricks, Monte Carlo, and ServiceNow Workflow Data Fabric reviewers mention cost management challenges. Buyers focused on pricing transparency should validate packaging, scaling rules, and monitoring controls early in the evaluation process. ### What best DataOps Platforms for Data Engineers managing ETL pipelines and orchestration in enterprise environments? Based on G2 reviews, enterprise ETL and orchestration buyers usually want strong workflow automation, dependable monitoring, and support for complex pipelines across teams. According to verified users, Databricks is frequently chosen for unified ETL, analytics, and large-scale processing, while Astro by Astronomer is often mentioned for managed Airflow and scheduling reliability. G2 reviewers also highlight Stonebranch for centralized automation and cross-platform workflow visibility. These products address slightly different needs: Databricks for integrated data engineering work, Astro for orchestrating Airflow-based pipelines, and Stonebranch for broader enterprise job automation. The right fit depends on whether your team prioritizes notebook-centric engineering, managed orchestration, or enterprise-wide workload control. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews/databricks-review-12810747) – used to unify ETL, analytics, and pipeline development in one collaborative platform - [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews/astro-by-astronomer-review-11770945) – supports managed Airflow orchestration, scheduling, and monitoring for production workflows - [Stonebranch](https://www.g2.com/products/stonebranch/reviews/stonebranch-review-12703027) – helps automate batch jobs, client feed onboarding, and enterprise workflow operations across environments ### What should data teams evaluate when choosing DataOps Platforms for cloud cost control? Based on G2 reviews, cloud cost control comes down to how well a platform exposes usage, supports rightsizing, and reduces unnecessary compute or duplicated tooling. According to verified users, teams should evaluate whether the platform makes it easy to monitor cluster usage, tune workloads, and manage scaling policies before spend drifts upward. G2 reviewers mention Databricks cost visibility and cluster management as a frequent concern, while ILUM users highlight compute savings from flexible workload placement and configuration guidance. Seemore Data reviewers also point to optimization and auto-shutdown capabilities that help reduce warehouse waste. In practice, buyers should compare cost observability, automation for idle resource control, and how much manual oversight is still required. ## How Many DataOps Platforms Products Does G2 Track? **Total Products under this Category:** 105 ### Category Stats (Jun 2026) - **Average Rating**: 4.59/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Orchestra (+2.71%) - Among all products in this category, Orchestra recorded the largest rating increase compared to last month *Last updated: June 30, 2026* ## How Does G2 Rank DataOps Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 5,200+ Authentic Reviews - 105+ 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. ## Which DataOps Platforms Is Best for Your Use Case? - **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Highest Performer:** [5X](https://www.g2.com/products/5x/reviews) - **Easiest to Use:** [5X](https://www.g2.com/products/5x/reviews) - **Top Trending:** [Hightouch](https://www.g2.com/products/hightouch/reviews) - **Best Free Software:** [Databricks](https://www.g2.com/products/databricks/reviews) --- **Sponsored** ### Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2686&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=1886&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%3Fopen_modal_url%3D%252Fproducts%252Fprefect%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdataops-platforms%2526source%253Dcategory&secure%5Btoken%5D=41fdff6b19778d30771b447d43523f7f680176401dfdbae698750e6a947c0df3&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated DataOps Platforms Products in 2026? ### 1. [Datafold](https://www.g2.com/products/datafold/reviews) Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they affect production. Datafold’s proactive approach to data quality helps data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. **Average Rating:** 4.5/5.0 **Total Reviews:** 24 **How Do G2 Users Rate Datafold?** - **Data Observability:** 8.2/10 (Category avg: 9.0/10) - **Testing capabilities:** 9.3/10 (Category avg: 8.7/10) - **Ease of Use:** 8.8/10 (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 Datafold?** - **Seller:** [Datafold](https://www.g2.com/sellers/datafold) - **Year Founded:** 2020 - **HQ Location:** New York, US - **Twitter:** @datafoldcom (1,107 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datafold/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 54% Mid-Market, 29% Small-Business #### What Are Recent G2 Reviews of Datafold? **"[Monitor your data pipelines using Datafold](https://www.g2.com/survey_responses/datafold-review-7914705)"** **Rating:** 5.0/5.0 stars *— Kavyansh P.* [Read full review](https://www.g2.com/survey_responses/datafold-review-7914705) --- **"[Great platform for improving data quality](https://www.g2.com/survey_responses/datafold-review-7966056)"** **Rating:** 5.0/5.0 stars *— Sanjay D.* [Read full review](https://www.g2.com/survey_responses/datafold-review-7966056) --- #### What Are G2 Users Discussing About Datafold? - [What is Datafold used for?](https://www.g2.com/discussions/what-is-datafold-used-for) ### 2. [Witboost](https://www.g2.com/products/witboost/reviews) Witboost is a pioneering platform that simplifies data product lifecycle management through automated governance and business-driven data discovery. It is designed to help organizations manage their data initiatives efficiently, ensuring compliance, strategic alignment, and collaboration. The platform enables scalable and secure data operations across diverse technology stacks, all while avoiding vendor lock-in, making it a versatile solution for modern data challenges. Targeted at data teams, platform engineers, business analysts, and IT leaders, Witboost delivers a unified experience by integrating business context, governance automation, and IT delivery workflows. This integration streamlines data product development, accelerates time-to-market, and embeds compliance into processes, significantly reducing the risks associated with traditional manual governance practices. As organizations increasingly rely on data-driven decision-making, Witboost provides the necessary tools to facilitate this transition smoothly, ensuring that data initiatives align with business objectives. A standout feature of Witboost is its computational governance engine, which empowers organizations to shift compliance left in the development process. Governance is enforced automatically through policies and guardrails that validate architecture, metadata, quality, and operational standards during both build time and runtime. This proactive approach ensures that every data product is technically robust and compliant by design, minimizing the likelihood of issues arising post-deployment. By embedding governance into the development lifecycle, Witboost helps organizations maintain high standards while fostering innovation. Central to the platform are data contracts, which allow teams to define, version, validate, and monitor agreements covering schema definitions, service level agreements (SLAs), semantics, and quality thresholds. These contracts are seamlessly integrated into change management flows, fostering trust between data producers and consumers while minimizing data friction across the enterprise. This feature enhances collaboration and ensures that all stakeholders are aligned on data expectations, ultimately leading to more effective data utilization. Witboost also offers customizable blueprints and templates that enable platform teams to define reusable golden paths. These resources guide data teams through compliant implementations, reducing cognitive load and promoting standardization without sacrificing autonomy. Additionally, the platform features a curated, business-friendly data marketplace that streamlines discovery and access. Governed and contract-bound data products are presented in a clean, searchable interface, allowing for fast, self-service access without the need for tickets or excessive friction. With the embedded AI assistant, Witty, users benefit from metadata curation and design validation, further increasing adoption and consistency while reducing manual effort. Witboost's technology-agnostic, extensible, and future-proof design also supports large organizations in scaling their data mesh initiatives with speed, safety, and real impact. **Average Rating:** 4.5/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Witboost?** - **Data Observability:** 10.0/10 (Category avg: 9.0/10) - **Ease of Use:** 8.1/10 (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 Witboost?** - **Seller:** [Agile Lab](https://www.g2.com/sellers/agile-lab) - **Company Website:** https://www.agilelab.it - **Year Founded:** 2013 - **HQ Location:** Torino - **LinkedIn® Page:** https://www.linkedin.com/company/agile-lab/ (314 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 74% Enterprise, 16% Mid-Market #### What Are Witboost's Pros and Cons? **Pros:** - Data Discovery (5 reviews) - Flexibility (5 reviews) - Learning (3 reviews) - Accessibility (2 reviews) - Centralized Management (2 reviews) **Cons:** - Limited Customization (2 reviews) - Complexity (1 reviews) - Complex Setup (1 reviews) - Difficult Learning (1 reviews) - Inadequate Reporting (1 reviews) ### What Do G2 Reviewers Say About Witboost? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate Witboost for its **integrated approach to data discovery** , simplifying governance and building processes in one platform. - Users appreciate the **flexibility** of Witboost, seamlessly integrating governance, building, and discovery for data platforms. - Users value the **comprehensive learning experience** that Witboost provides, integrating building, governance, and discovery seamlessly. - Users value the **ease of access** in Witboost, enabling seamless data management and collaboration across teams. - Users value the **centralized management** of Witboost, streamlining data governance, discovery, and building on a unified platform. **Cons:** - Users find the **limited customization** of Witboost requires significant time and resources for specific needs. - Users find Witboost's interface **complex** , making it difficult to locate answers despite available documentation. - Users find the **complex setup** challenging, often struggling to find answers despite the available documentation. - Users find Witboost's interface to be **difficult to learn** , often struggling to find answers despite available documentation. - Users find **inadequate reporting** on Witboost limits their ability to analyze data efficiently and increases workload. #### What Are Recent G2 Reviews of Witboost? **"[Powerful Data Export with Easy Setup and Use](https://www.g2.com/survey_responses/witboost-review-12431824)"** **Rating:** 4.5/5.0 stars *— DANIELE I.* [Read full review](https://www.g2.com/survey_responses/witboost-review-12431824) --- **"[Witboost Turned Our Data Mesh Vision into Scalable, Repeatable Delivery Patterns](https://www.g2.com/survey_responses/witboost-review-12549488)"** **Rating:** 5.0/5.0 stars *— Roberto F.* [Read full review](https://www.g2.com/survey_responses/witboost-review-12549488) --- ### 3. [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:** 53 **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:** https://www.linkedin.com/company/sifflet/ (50 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 76% Mid-Market, 24% Enterprise #### What Are Sifflet's Pros and Cons? **Pros:** - Efficiency Improvement (37 reviews) - Ease of Use (36 reviews) - Monitoring (36 reviews) - Data Lineage (32 reviews) - Alerting System (31 reviews) **Cons:** - Limited Customization (17 reviews) - Complex Setup (11 reviews) - Alert Management (10 reviews) - Limited Integration (10 reviews) - Lineage Issues (10 reviews) ### What Do G2 Reviewers Say About Sifflet? *AI-generated summary from verified user reviews* **Pros:** - Users value Sifflet's **efficiency improvement** through intelligent alerts and seamless integration with existing data systems. - Users find Sifflet's interface **intuitive and user-friendly** , allowing for quick issue spotting and seamless implementation of features. - Users appreciate the **monitoring capabilities** of Sifflet, enabling proactive identification and resolution of data issues promptly. - Users benefit from Sifflet's **comprehensive data lineage visibility** , enabling efficient monitoring and troubleshooting across data sources. - Users value the **smart alerting system** of Sifflet for effectively identifying relevant incidents and minimizing noise. **Cons:** - Users find **limited customization options** for editing tags and monitors, impacting their overall experience with Sifflet. - Users report a **complex setup process** for Sifflet, requiring significant time and effort for onboarding and monitoring. - Users find the **alert management** features needing improvements, as they desire more efficient messaging and automation. - Users face challenges with **limited integration** options for major data loads, hindering broader functionality and effectiveness. - Users find **lineage tracking confusing** , especially with complex models and dependencies, making usability challenging. #### 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) --- ### 4. [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:** https://www.linkedin.com/company/unravel-data (107 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 81% Enterprise, 17% Small-Business #### What Are Unravel Data's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Easy Setup (1 reviews) - Efficiency (1 reviews) - Insights (1 reviews) - Installation Ease (1 reviews) **Cons:** - Limited Features (2 reviews) - Complex Configuration (1 reviews) - Complex Setup (1 reviews) - Configuration Difficulty (1 reviews) - Configuration Issues (1 reviews) ### What Do G2 Reviewers Say About Unravel Data? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Unravel Data, finding it user-friendly and straightforward for quick analysis. - Users love the **easy setup** of Unravel Data, finding the interface intuitive and the addition of AI agents seamless. - Users value the **efficiency** of Unravel Data, enabling quick analysis and streamlined diagnostics of data workloads. - Users praise Unravel Data for its **clear performance insights** that facilitate quick analysis and issue diagnosis. - Users praise the **installation ease** of Unravel Data, highlighting its user-friendly interface and straightforward AI agent addition. **Cons:** - Users find **limited features** in Unravel Data, particularly when managing large datasets and configuring advanced metrics. - Users find **complex configuration** a challenge, especially when advanced features need extra context for effective use. - Users find the **complex setup** of Unravel Data challenging, especially when configuring detailed performance metrics. - Users find **configuration difficulty** in Unravel Data frustrating, especially when tuning detailed performance metrics. - Users struggle with **configuration issues** in Unravel Data, finding advanced features more challenging to set up. #### 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) ### 5. [Datalogz](https://www.g2.com/products/datalogz/reviews) Datalogz is a business intelligence ops platform that monitors cost and security risk in almost any BI tool. It is the first full BI admin platform built on live metadata streams with enhanced AI capabilities. **Average Rating:** 4.1/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Datalogz?** - **Ease of Use:** 7.7/10 (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 Datalogz?** - **Seller:** [Datalogz](https://www.g2.com/sellers/datalogz) - **Year Founded:** 2020 - **HQ Location:** New York City, US - **Twitter:** @datalogz (602 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/68612845 (33 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 55% Small-Business, 27% Enterprise #### What Are Recent G2 Reviews of Datalogz? **"[DataLogz review](https://www.g2.com/survey_responses/datalogz-review-7328612)"** **Rating:** 4.0/5.0 stars *— Mosala M.* [Read full review](https://www.g2.com/survey_responses/datalogz-review-7328612) --- **"[Good business and risk insights](https://www.g2.com/survey_responses/datalogz-review-7303335)"** **Rating:** 4.0/5.0 stars *— Purven D.* [Read full review](https://www.g2.com/survey_responses/datalogz-review-7303335) --- ### 6. [Quantumics.AI](https://www.g2.com/products/quantumics-ai/reviews) World's First Citizen DataOps Platform - A self-service, easy to use data platform that makes data accessible so that you can focus on your big ideas and your job. **Average Rating:** 4.1/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Quantumics.AI?** - **Data Observability:** 8.3/10 (Category avg: 9.0/10) - **Testing capabilities:** 9.2/10 (Category avg: 8.7/10) - **Ease of Use:** 8.9/10 (Category avg: 9.0/10) **Who Is the Company Behind Quantumics.AI?** - **Seller:** [Quantumics.AI](https://www.g2.com/sellers/quantumics-ai) - **Year Founded:** 2019 - **HQ Location:** London, GB - **Twitter:** @QuantumicsAI (5 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/quantumspark-ai/mycompany/?viewAsMember=true (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 69% Small-Business, 23% Mid-Market #### What Are Recent G2 Reviews of Quantumics.AI? **"[End-to-End Data Journey at Ease](https://www.g2.com/survey_responses/quantumics-ai-review-7053512)"** **Rating:** 4.0/5.0 stars *— Srikrishnan S.* [Read full review](https://www.g2.com/survey_responses/quantumics-ai-review-7053512) --- **"[Good product for ingesting data in MVP stage. More options need to be added for various scenarios](https://www.g2.com/survey_responses/quantumics-ai-review-7314048)"** **Rating:** 4.0/5.0 stars *— Nishank A.* [Read full review](https://www.g2.com/survey_responses/quantumics-ai-review-7314048) --- ### 7. [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:** https://www.ascend.io - **Year Founded:** 2015 - **HQ Location:** Palo Alto, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/ascend-io/ (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Small-Business, 11% Mid-Market #### What Are Ascend.io's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Automation (5 reviews) - Efficiency Improvement (5 reviews) - Flexibility (4 reviews) - Solution Efficiency (4 reviews) **Cons:** - Difficult Learning (3 reviews) - Learning Curve (3 reviews) - Learning Difficulty (3 reviews) - Limited Features (3 reviews) - Steep Learning Curve (3 reviews) ### What Do G2 Reviewers Say About Ascend.io? *AI-generated summary from verified user reviews* **Pros:** - Users find Ascend.io's interface **extremely user-friendly** , facilitating efficient management of complex data workflows with ease. - Users value the **automation capabilities** of Ascend.io, which significantly streamline data workflows and reduce manual tasks. - Users commend Ascend.io for its **exceptional efficiency improvement** , drastically reducing time spent on routine data tasks. - Users appreciate the **flexibility** of Ascend.io, enabling smarter and faster solutions to complex data pipeline challenges. - Users commend Ascend.io for its **solution efficiency** , enabling quick and effective data pipeline creation and management. **Cons:** - Users face a **difficult learning curve** transitioning to Ascend.io's declarative mindset and complexities of the platform. - Users find the **learning curve challenging** , especially when adapting to a declarative mindset from traditional scripting approaches. - Users find the **learning difficulty** in adapting to Ascend.io's declarative approach a significant initial challenge. - Users note a **limited selection of models** and a steep learning curve affecting their overall experience with Ascend.io. - Users face a **steep learning curve** adapting to Ascend.io's declarative model, requiring time and practice to master. #### 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) --- ### 8. [Composable DataOps](https://www.g2.com/products/composable-dataops/reviews) Composable Enterprise is the industry’s leading Intelligent DataOps platform that offers a full portfolio of capabilities for orchestration, automation and analytics, ensuring that analytics can be rapidly deployed into business workflows. **Average Rating:** 4.1/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Composable DataOps?** - **Data Observability:** 7.6/10 (Category avg: 9.0/10) - **Testing capabilities:** 7.6/10 (Category avg: 8.7/10) - **Ease of Use:** 8.0/10 (Category avg: 9.0/10) - **What is your organization's estimated ROI on the product (payback period in months)?:** 8.3/10 (Category avg: 10/10) **Who Is the Company Behind Composable DataOps?** - **Seller:** [Composable Analytics](https://www.g2.com/sellers/composable-analytics) - **Year Founded:** 2014 - **HQ Location:** Cambridge, Massachusetts - **Twitter:** @DataFlowLabs (430 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/composable-analytics-inc- (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 42% Enterprise #### What Are Recent G2 Reviews of Composable DataOps? **"[Composable, product at right time and right place!](https://www.g2.com/survey_responses/composable-dataops-review-8561589)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/composable-dataops-review-8561589) --- **"[Unlocking Data's Potential of Composable DataOps Platforms](https://www.g2.com/survey_responses/composable-dataops-review-8508363)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/composable-dataops-review-8508363) --- #### What Are G2 Users Discussing About Composable DataOps? - [What is Composable DataOps Platform used for?](https://www.g2.com/discussions/what-is-composable-dataops-platform-used-for) ### 9. [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:** https://www.linkedin.com/company/18214289 (37 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Goods - **Company Size:** 47% Mid-Market, 47% Small-Business #### What Are daasity's Pros and Cons? **Pros:** - Comprehensive (1 reviews) - Customer Support (1 reviews) - Data Visualization (1 reviews) - Documentation (1 reviews) - Ease of Use (1 reviews) **Cons:** - Dashboard Issues (1 reviews) - Dashboard Usability (1 reviews) - Data Management (1 reviews) - Data Management Issues (1 reviews) - Feature Issues (1 reviews) ### What Do G2 Reviewers Say About daasity? *AI-generated summary from verified user reviews* **Pros:** - Users find Daasity's **comprehensive integrations** and dashboard templates beneficial for visualizing data efficiently. - Users value the **excellent customer support** from Daasity, making it easy to get help when needed. - Users find that Daasity's **data visualization capabilities** are effective, especially with pre-integrated sources and user-friendly templates. - Users find the **documentation and dashboard templates** helpful for creating visualizations without expertise. - Users find the **ease of use** in Daasity appealing, thanks to its intuitive integrations and helpful dashboard templates. **Cons:** - Users find the **dashboard issues** challenging due to a steep learning curve and limited interactivity for prototyping. - Users find the **steep learning curve** and coding requirements challenging for effective use of the dashboard. - Users find the **steep learning curve** of Daasity challenging, particularly due to extensive data modeling requirements. - Users find the **steep learning curve** of Daasity challenging, particularly due to its coding-intensive data modeling requirements. - Users find the **steep learning curve** and coding requirements of Daasity challenging, especially for rapid 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) --- ### 10. [Cloudera](https://www.g2.com/products/cloudera/reviews) Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Ease of Use:** 8.3/10 (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 Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,442 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### What Do G2 Reviewers Say About Cloudera? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their experience in data management. - Users appreciate the **easy scalability** of Cloudera, making it ideal for managing large datasets efficiently. - Users value the **security features** of Cloudera, ensuring reliable data management and protection across platforms. - Users appreciate the **robust scalability** of Cloudera, enabling seamless management of large data sets and smooth data processing. - Users appreciate the **scalability and ease of use** in Cloudera, enhancing data management and overall efficiency. **Cons:** - Users often find Cloudera to be **expensive** to run, raising concerns about its overall affordability and maintenance. - Users find Cloudera's DB **complexity** challenging, especially for SQL queries and customization, requiring skilled implementation. - Users find Cloudera challenging due to **difficult learning** , especially for beginners needing guidance and tutorials. - Users find **poor documentation** frustrating, as it complicates navigation and hampers the overall user experience with Cloudera. - Users often face **access issues** with Cloudera, including unauthorized errors and limited documentation support. #### What Are Recent G2 Reviews of Cloudera? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) --- #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### 11. [GIA: Logs, Flight, Financials, Orders, Instrux, RevGain, DMI/DQC/DAT](https://www.g2.com/products/gia-logs-flight-financials-orders-instrux-revgain-dmi-dqc-dat/reviews) GIA (Guided Intelligence Agent) automates time-consuming operational workflows - 1) ingesting and delivering orders electronically, eliminating manual tasks, 2) processing and delivering copy instructions, 3) validating linear airtime data and distributing delivery details, 4) standardizing and delivering digital logs, 5) managing Direct IO execution end to end including extensive creative quality control technical checks and auto trafficking into your chosen ad servers, and 6) streamlining and automating how businesses handle invoices by providing advanced AI to eliminate manual tasks, reduce errors, and accelerate financial workflows. **Average Rating:** 5.0/5.0 **Total Reviews:** 7 **How Do G2 Users Rate GIA: Logs, Flight, Financials, Orders, Instrux, RevGain, DMI/DQC/DAT?** - **Ease of Use:** 9.2/10 (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 GIA: Logs, Flight, Financials, Orders, Instrux, RevGain, DMI/DQC/DAT?** - **Seller:** [PremiumData360](https://www.g2.com/sellers/premiumdata360) - **Year Founded:** 2012 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/premiummedia360/ (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 57% Mid-Market, 29% Small-Business #### What Are Recent G2 Reviews of GIA: Logs, Flight, Financials, Orders, Instrux, RevGain, DMI/DQC/DAT? **"[Why input manual orders? PD360 can automate them for you!](https://www.g2.com/survey_responses/gia-logs-flight-financials-orders-instrux-revgain-dmi-dqc-dat-review-12586547)"** **Rating:** 5.0/5.0 stars *— Melanie W.* [Read full review](https://www.g2.com/survey_responses/gia-logs-flight-financials-orders-instrux-revgain-dmi-dqc-dat-review-12586547) --- **"[Gia logs: Accurate, Efficient Logs, Fast Support: A True Game Changer.](https://www.g2.com/survey_responses/gia-logs-flight-financials-orders-instrux-revgain-dmi-dqc-dat-review-12527631)"** **Rating:** 5.0/5.0 stars *— Yolanda T.* [Read full review](https://www.g2.com/survey_responses/gia-logs-flight-financials-orders-instrux-revgain-dmi-dqc-dat-review-12527631) --- ### 12. [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:** 32 **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) - **Company Website:** https://www.matia.io - **Year Founded:** 2023 - **HQ Location:** Miami, US - **LinkedIn® Page:** http://linkedin.com/company/matia-data (54 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 59% Mid-Market, 25% Small-Business #### What Are Matia's Pros and Cons? **Pros:** - Customer Support (25 reviews) - Ease of Use (18 reviews) - Features (18 reviews) - Integrations (13 reviews) - Reliability (12 reviews) **Cons:** - Limited Connectors (4 reviews) - Missing Features (4 reviews) - Limited Features (3 reviews) - Limited Integrations (3 reviews) - Not User-Friendly (3 reviews) ### What Do G2 Reviewers Say About Matia? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate Matia's **amazing customer support** , always ready to assist and resolve issues quickly and efficiently. - Users find **Matia's ease of use** exceptional, appreciating its streamlined setup and excellent support for DataOps. - Users celebrate the **exceptional scalability** of Matia, efficiently syncing large data volumes with ease and reliability. - Users commend Matia for its **easy and efficient integration management** , ensuring a seamless experience with superb support. - Users highlight Matia's **reliable support** , ensuring efficient solutions and peace of mind for critical data management. **Cons:** - Users note a **limited connector library** compared to competitors, though the team is responsive to integration requests. - Users note that Matia is **missing features** compared to competitors, although updates are being made to improve this. - Users note the **limited features** of Matia, particularly compared to more established data solutions like Fivetran. - Users find **limited integrations** with Matia affecting compatibility, though the team is responsive to adding new options. - Users find the **UI unintuitive** and slow to load, wishing for a simpler, more efficient interface. #### What Are Recent G2 Reviews of Matia? **"[Excellent tooling backed by a highly supportive team](https://www.g2.com/survey_responses/matia-review-12338799)"** **Rating:** 5.0/5.0 stars *— Verified User in Security and Investigations* [Read full review](https://www.g2.com/survey_responses/matia-review-12338799) --- **"[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) --- ### 13. [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:** https://www.linkedin.com/company/montarainc (13 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 86% Mid-Market, 14% Enterprise #### What Are Montara's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Features (3 reviews) - Customer Support (2 reviews) - Implementation Ease (2 reviews) - Customization (1 reviews) **Cons:** - Integration Issues (1 reviews) - Missing Features (1 reviews) - Product Maturity (1 reviews) - Unreliability (1 reviews) - UX Improvement (1 reviews) ### What Do G2 Reviewers Say About Montara? *AI-generated summary from verified user reviews* **Pros:** - Users find Montara's interface to be **intuitive and easy to navigate** , enhancing their overall experience and teamwork. - Users value the **responsive support** and rapid feature development from the Montara team, enhancing their overall experience. - Users praise the **responsive and cooperative Montara team** , noting their fast support and ease of collaboration. - Users commend the **implementation ease** of Montara, praising its intuitive interface and swift support response times. - Users love the **customization** offered by Montara, allowing analysts to easily prepare tables without relying on data engineers. **Cons:** - Users find **integration issues** with Montara, noting that it lacks ease of use and responsive support. - Users note the **missing features** of Montara due to its early development stage, impacting initial reliability and functionality. - Users find the **product maturity issues** of Montara concerning, as stability and reliability took time to achieve. - Users experienced **unreliability** with Montara initially, facing several issues due to its new and unstable state. - Users feel that **design features of queries and autocomplete** require further improvement for a better experience. #### 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) --- ### 14. [Pantomath](https://www.g2.com/products/pantomath/reviews) Pantomath is pioneering the Data Operations Center (DOC), establishing a centralized, AI-driven platform necessary to manage data reliability as a strategic operational function. We are the first platform designed to continuously monitor, diagnose, and autonomously resolve data incidents across the entire cross-platform data ecosystem. Our approach transforms data reliability from a constant liability into an assured competitive advantage. Using purpose-built AI agents and a proprietary cross-platform interoperable data fabric, Pantomath automates the entire incident lifecycle: identifying the issue, pinpointing the single root cause, and executing immediate containment and mitigation. We empower organizations to move beyond costly reactive fixes, ensuring trustworthy data is delivered consistently and confidently to all stakeholders and consuming systems. Pantomath is designed for platform reliability teams, data engineers, and leaders responsible for data quality and SLAs. It supports critical use cases such as: - Detecting and resolving data incidents before stakeholders are affected - Unifying metadata, lineage, and job execution data for faster RCA - Automating resolution workflows and reducing mean time to acknowledge, detect, and resolve - Improving data trust across business teams by enabling transparency and accountability Key capabilities include: - Automated Discovery and Monitoring: Map and monitor pipelines, datasets, stored procedures, and dependencies across your stack. - AI-Powered RCA and Recommendations: Use built-in copilots to surface root cause and next steps in minutes. - Incident Correlation and Impact Analysis: Highlight downstream impact and notify the right teams in real time. - Autonomous Remediation: Self-heal pipelines through configurable automation policies. - Bring Your Own Catalog (BYOC): Integrate existing metadata tools to centralize data context. Pantomath gives enterprises a systemic, automated approach to data reliability - delivering trust, reducing noise, and empowering teams to scale data operations with confidence. **Average Rating:** 4.7/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Pantomath?** - **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)?:** 9.1/10 (Category avg: 10/10) **Who Is the Company Behind Pantomath?** - **Seller:** [Pantomath Inc.](https://www.g2.com/sellers/pantomath-inc) - **Company Website:** https://www.pantomath.com/ - **Year Founded:** 2022 - **HQ Location:** Cincinnati - **LinkedIn® Page:** https://www.linkedin.com/company/pantomathdata (50 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 73% Enterprise, 27% Mid-Market #### What Are Pantomath's Pros and Cons? **Pros:** - Data Lineage (8 reviews) - Monitoring (7 reviews) - Customer Support (6 reviews) - Efficiency Improvement (5 reviews) - Automation (3 reviews) **Cons:** - Alert Management (6 reviews) - Poor Documentation (2 reviews) - Complex Setup (1 reviews) - Difficult Learning Curve (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Pantomath? *AI-generated summary from verified user reviews* **Pros:** - Users value Pantomath for its **outstanding data lineage visualization** , enhancing understanding of complex data operations efficiently. - Users appreciate the **real-time monitoring** capabilities of Pantomath, enhancing efficiency in managing complex data operations. - Users value the **responsive customer support** of Pantomath, appreciating the team's attentiveness and regular feedback sessions. - Users value Pantomath's **efficiency improvement** , enabling swift issue resolution and freeing teams for innovative projects. - Users value the **automation of data operations** with Pantomath, streamlining complex processes and enhancing productivity significantly. **Cons:** - Users experience an overwhelming volume of **alerts initially** , but support helps refine them for better relevance. - Users find the **poor documentation** on integrating Pantomath frustrating, hindering effective use in IaC cloud environments. - Users find the **complex setup** of Pantomath challenging, requiring time to effectively manage failures and configurations. - Users find the **difficult learning curve** hinders experience, especially for those lacking prior knowledge or familiarity. - Users find the **learning curve challenging** , especially those with limited experience using some of Pantomath's features. #### What Are Recent G2 Reviews of Pantomath? **"[Pantomath: A game changer for Traceabiliity and observability in data pipelines](https://www.g2.com/survey_responses/pantomath-review-9815305)"** **Rating:** 5.0/5.0 stars *— Maritza A.* [Read full review](https://www.g2.com/survey_responses/pantomath-review-9815305) --- **"[First-class data pipeline lineage and visualization](https://www.g2.com/survey_responses/pantomath-review-9780363)"** **Rating:** 5.0/5.0 stars *— Trevor H.* [Read full review](https://www.g2.com/survey_responses/pantomath-review-9780363) --- ### 15. [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:** https://www.linkedin.com/company/seemore-data/ (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 62% Mid-Market, 23% Enterprise #### What Are Seemore Data's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Ease of Use (4 reviews) - Cost-Effective (3 reviews) - Insights (3 reviews) - Automation (2 reviews) **Cons:** - Lineage Limitations (4 reviews) - Data Inaccuracy (2 reviews) - Data Lineage Issues (2 reviews) - Data Management (2 reviews) - Poor User Experience (2 reviews) ### 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, effectively turning feedback into quickly implemented features. - Users value the **ease of use** in Seemore Data, with intuitive features that enhance workflow efficiency and adaptability. - Users appreciate the **end-to-end data management** of Seemore Data, enhancing efficiency and automating critical processes. - Users appreciate the **intuitive user interface** of Seemore Data, which simplifies data visualization and management. - Users appreciate the **advanced data lineage capabilities** of Seemore Data, simplifying tracking and management efforts. **Cons:** - Users find the **lineage limitations** cumbersome, affecting real-time collaboration and making processes harder to navigate. - Users report **data inaccuracy** issues, citing missing governance and poor lineage that hinder reliable insights. - Users find **data lineage issues** burdensome, complicating real-time collaboration and requiring awkward manual exportation of reports. - Users face **data management issues** with Seemore Data, struggling with integration and cumbersome reporting processes for collaboration. - Users find the **navigation confusing** , with complex menus hindering quick access to settings and features. #### 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) --- ### 16. [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:** 17 **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:** https://www.linkedin.com/company/validio-ab/ (36 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 59% Mid-Market, 29% Small-Business #### What Are Validio's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Easy Setup (4 reviews) - Setup Ease (3 reviews) - Alerts (2 reviews) - Customer Support (2 reviews) **Cons:** - Limited Customization (4 reviews) - Inadequate Reporting (2 reviews) - Filtering Issues (1 reviews) - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About Validio? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Validio, appreciating its simple implementation and effective automated anomaly detection. - Users love the **easy setup** of Validio, appreciating its simplicity and quick implementation for frequent use. - Users find Validio's **setup ease** remarkable, allowing for quick implementation and efficient data validation processes. - Users value the **easy setup for actionable alerts** , enabling quick responses to data quality issues effectively. - Users appreciate the **knowledgeable and helpful customer support** of Validio, enhancing their overall experience and implementation. **Cons:** - Users report **limited customization** options, particularly for advanced features, impacting their overall experience with Validio. - Users struggle with **inadequate reporting** due to poor documentation, hindering their ability to utilize advanced features effectively. - Users desire more **customizability in filtering** segments for validations, feeling limited in their options. - Users criticize the **poor documentation** which hinders understanding and effectively utilizing Validio's features. #### What Are Recent G2 Reviews of Validio? **"[Peace of Mind: The VPN That Just Works](https://www.g2.com/survey_responses/validio-review-11949597)"** **Rating:** 5.0/5.0 stars *— Amr H.* [Read full review](https://www.g2.com/survey_responses/validio-review-11949597) --- **"[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) --- ### 17. [ANOW! Suite](https://www.g2.com/products/anow-suite/reviews) ANOW! Suite is a comprehensive Workload Automation, Orchestration, and Observability platform developed by Beta Systems, specifically designed to streamline and enhance enterprise operations across diverse environments. This solution caters to organizations seeking to optimize their workflows, ensuring that processes run smoothly, from traditional on-premises mainframes to modern cloud infrastructures. By providing a unified approach to managing workloads, ANOW! Suite empowers businesses to maintain efficiency and adaptability in an increasingly complex technological landscape. ANOW! Suite is particularly beneficial for organizations that operate in heterogeneous environments. These may include businesses with a mix of legacy systems and contemporary cloud solutions. The platform's versatility allows it to integrate seamlessly with existing infrastructure, making it an ideal choice for enterprises looking to modernize their operations without the need for extensive overhauls. One of the standout benefits of ANOW! Suite is the end-to-end visibility and control over enterprise processes. This capability allows users to monitor and manage workflows in real time, ensuring that any issues can be quickly identified and addressed. Additionally, the platform offers low-code/no-code integration capabilities, which enable users to create custom workflows without requiring extensive programming knowledge. This feature significantly reduces the time and resources needed for implementation, making it accessible to a wider range of users within an organization. Furthermore, ANOW! Suite is designed to accelerate processing speeds by 20-40%, contributing to enhanced operational efficiency. This performance boost, combined with the potential for up to a 55% reduction in total cost of ownership (TCO), positions the platform as a cost-effective solution for enterprises. With its emphasis on compliance, transparency, and efficient resource management, ANOW! Suite not only meets the demands of modern businesses but also provides the flexibility needed to adapt to evolving market conditions. Trusted by enterprises worldwide, it stands as a robust choice for organizations aiming to optimize their workload management and orchestration processes. **Average Rating:** 4.3/5.0 **Total Reviews:** 40 **How Do G2 Users Rate ANOW! Suite?** - **Ease of Use:** 8.1/10 (Category avg: 9.0/10) - **What is your organization's estimated ROI on the product (payback period in months)?:** 9.0/10 (Category avg: 10/10) **Who Is the Company Behind ANOW! Suite?** - **Seller:** [Beta Systems Software AG](https://www.g2.com/sellers/beta-systems-software-ag-b1443673-394c-46ac-b09d-c606d5372178) - **Company Website:** https://www.betasystems.com/ - **Year Founded:** 1983 - **HQ Location:** Berlin, DE - **LinkedIn® Page:** https://www.linkedin.com/company/beta-systems-software-ag (361 employees on LinkedIn®) - **Phone:** +49 (0) 30 72 61 18 0 **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 48% Small-Business, 30% Mid-Market #### What Are ANOW! Suite's Pros and Cons? **Pros:** - Centralized Management (2 reviews) - Ease of Use (2 reviews) - Process Simplification (2 reviews) - Real-time Monitoring (2 reviews) - Workflow Management (2 reviews) **Cons:** - Difficult Learning (2 reviews) - Beginner Unfriendliness (1 reviews) - Complexity (1 reviews) - Cost Issues (1 reviews) - Difficult Setup (1 reviews) ### What Do G2 Reviewers Say About ANOW! Suite? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **centralized management** of ANOW! Suite, which streamlines report delivery and order processing efficiently. - Users appreciate the **intuitive interface** of ANOW! Suite, which greatly simplifies and streamlines daily workflows. - Users love how ANOW! Suite offers **process simplification** , streamlining workflows with intuitive design and automation features. - Users appreciate the **real-time monitoring** capabilities of ANOW! Suite, significantly enhancing their workflow efficiency and visibility. - Users value how ANOW! Suite provides **streamlined workflow management** , enhancing efficiency and simplifying complex tasks. **Cons:** - Users find **difficult learning** as ANOW has confusing terms and a cumbersome structure for beginners and intermediates. - Users find ANOW Suite **beginner-unfriendly** due to confusing terms, though resources and support help mitigate this. - Users find the **complexity** of ANOW! Suite creates cumbersome structures that don't always meet their specific needs. - Users find the **cost per user high** , which can be a barrier for smaller businesses seeking affordable solutions. - Users find the **difficult setup** challenging for beginners, though resources and support may help alleviate concerns. #### What Are Recent G2 Reviews of ANOW! Suite? **"[Streamlined Operations, Room for Customization Growth](https://www.g2.com/survey_responses/anow-suite-review-12975738)"** **Rating:** 4.0/5.0 stars *— sameer k.* [Read full review](https://www.g2.com/survey_responses/anow-suite-review-12975738) --- **"[Centralized Workflow Management with Room for UI Improvement](https://www.g2.com/survey_responses/anow-suite-review-12958506)"** **Rating:** 4.5/5.0 stars *— Saurabh P.* [Read full review](https://www.g2.com/survey_responses/anow-suite-review-12958506) --- ### 18. [Bigeye](https://www.g2.com/products/bigeye/reviews) AI is only as good as the data it runs on. Bigeye is the enterprise AI Trust platform built for data-driven organizations that need confidence in how AI uses their data. A longtime leader in data observability and lineage, Bigeye brings data quality, sensitivity scanning, governance, and runtime policy enforcement together in a single, end-to-end platform. This unified approach gives enterprises full visibility and control over how data is accessed, governed, and acted on by AI. By comprehensively managing data and AI, Bigeye helps teams accelerate AI deployments, improve stakeholder trust, and ensure accuracy, safety, and reliability at scale. Leading organizations including USAA, Zoom, Hertz, Cisco, and Freedom Mortgage rely on Bigeye to keep their data, and the AI built on top of it, reliable by default. **Average Rating:** 4.1/5.0 **Total Reviews:** 22 **How Do G2 Users Rate Bigeye?** - **Data Observability:** 9.3/10 (Category avg: 9.0/10) - **Testing capabilities:** 7.9/10 (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 Bigeye?** - **Seller:** [Bigeye](https://www.g2.com/sellers/bigeye) - **Year Founded:** 2019 - **HQ Location:** San Francisco, US - **Twitter:** @bigeyedata (651 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/bigeye-data/ (65 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 55% Small-Business, 27% Mid-Market #### What Are Bigeye's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Features (1 reviews) **Cons:** - Limited Features (1 reviews) - Limited Integrations (1 reviews) ### What Do G2 Reviewers Say About Bigeye? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Bigeye, finding its core concepts simple yet technically robust. - Users value the **simple and intuitive concepts** of Bigeye, combined with advanced features for deeper analysis. **Cons:** - Users express disappointment over **limited features** , specifically lacking integrations crucial for their tech stack. - Users feel the **limited integrations** with their tech stack hinder the full potential of Bigeye. #### What Are Recent G2 Reviews of Bigeye? **"[Easy to use tool for quick data quality checks](https://www.g2.com/survey_responses/bigeye-review-9368278)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/bigeye-review-9368278) --- **"[ETL Monitoring Made Simple](https://www.g2.com/survey_responses/bigeye-review-10803390)"** **Rating:** 4.0/5.0 stars *— Jaime W.* [Read full review](https://www.g2.com/survey_responses/bigeye-review-10803390) --- ### 19. [decube](https://www.g2.com/products/decube/reviews) Decube is a Context Layer platform specifically designed for the AI era, providing organizations with the ability to give their data meaning, memory, and trust. This innovative system integrates various components such as metadata management, automated lineage tracking, data quality assurance, and observability to create a comprehensive real-time map of data dynamics. By understanding how data operates, flows, and its reliability, Decube empowers enterprises to make informed decisions and effectively manage AI workloads. Targeted primarily at enterprises that rely heavily on data-driven decision-making, Decube addresses a critical challenge faced by many organizations: the lack of contextual understanding of their data. In an age where data is abundant, the real issue lies in the ability to interpret and utilize that data effectively. Decube provides a connected understanding of the entire data ecosystem, which helps eliminate blind spots and enhances governance. This contextual awareness is essential for organizations looking to leverage AI technologies and ensure that their models, dashboards, and agents operate with greater intelligence and safety. Key features of Decube include its robust metadata management capabilities, which allow users to track and manage data lineage effortlessly. This feature ensures that organizations can trace the origins and transformations of their data, thereby enhancing transparency and accountability. Additionally, Decube’s focus on data quality means that users can trust the information they are working with, reducing the risk of errors in critical decision-making processes. The observability aspect of the platform further enables organizations to monitor data flows in real-time, ensuring that any issues can be identified and addressed promptly. The benefits of using Decube extend beyond mere data management. By providing a living, interconnected understanding of data, Decube enhances the overall operational confidence of organizations. This platform not only strengthens governance but also facilitates smarter decision-making by ensuring that all data-driven models are built on a foundation of reliable and contextualized information. As businesses increasingly depend on trustworthy data and AI-ready infrastructure, Decube stands out as a vital tool that equips them with the necessary context to navigate the complexities of the modern data landscape. **Average Rating:** 4.6/5.0 **Total Reviews:** 23 **How Do G2 Users Rate decube?** - **Data Observability:** 10.0/10 (Category avg: 9.0/10) - **Testing capabilities:** 10.0/10 (Category avg: 8.7/10) - **Ease of Use:** 9.4/10 (Category avg: 9.0/10) - **What is your organization's estimated ROI on the product (payback period in months)?:** 5.3/10 (Category avg: 10/10) **Who Is the Company Behind decube?** - **Seller:** [Decube Data](https://www.g2.com/sellers/decube-data) - **Company Website:** https://decube.io - **Year Founded:** 2022 - **HQ Location:** Kuala Lumpur - **Twitter:** @decube_data (113 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/decube-data/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 39% Mid-Market, 35% Small-Business #### What Are decube's Pros and Cons? **Pros:** - User Interface (8 reviews) - Ease of Use (7 reviews) - Features (7 reviews) - Data Quality (6 reviews) - Insights (6 reviews) **Cons:** - Limited Functionality (3 reviews) - Complex Setup (2 reviews) - Limited Features (2 reviews) - Missing Features (2 reviews) - Poor Customer Support (2 reviews) ### What Do G2 Reviewers Say About decube? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **intuitive user interface** of Decube, valuing its simplicity and efficiency for data monitoring. - Users love the **ease of use** of Decube, highlighting its simple setup and intuitive dashboard for data monitoring. - Users value the **advanced data governance features** of Decube, enhancing reliability and discoverability across teams. - Users value **Decube's exceptional data quality** , enabling accurate, consistent data and simplifying monitoring and collaboration across teams. - Users appreciate the **intuitive design and transparency** of Decube, enhancing data quality monitoring and team collaboration. **Cons:** - Users find the **limited functionality** of decube challenging, requiring extra effort for deeper insights and configurations. - Users find the **complex setup** of Decube challenging, requiring significant time for proper configuration and adjustments. - Users find the **limited features** of Decube challenging, necessitating extra effort for deeper insights and configurations. - Users feel frustrated with the **missing features** in Decube, particularly with API monitoring and group-by functionality. - Users report issues with **poor customer support** , often finding it difficult to reach assistance when needed. #### What Are Recent G2 Reviews of decube? **"[Effortless Data Quality and Trust with Decube](https://www.g2.com/survey_responses/decube-review-11920093)"** **Rating:** 4.5/5.0 stars *— Ahsan Y.* [Read full review](https://www.g2.com/survey_responses/decube-review-11920093) --- **"[Comprehensive Data Trust Platform with Powerful Features, but Support Needs Improvement](https://www.g2.com/survey_responses/decube-review-11833181)"** **Rating:** 5.0/5.0 stars *— Sivani V.* [Read full review](https://www.g2.com/survey_responses/decube-review-11833181) --- ### 20. [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:** https://www.linkedin.com/company/icedq/ (175 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Enterprise #### What Are iceDQ's Pros and Cons? **Pros:** - Automation (1 reviews) - Customer Support (1 reviews) - Ease of Use (1 reviews) - Features (1 reviews) ### What Do G2 Reviewers Say About iceDQ? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **automation capabilities** of iceDQ, enhancing testing efficiency with powerful Gen AI features. - Users commend the **excellent customer support** of iceDQ, noting it as one of the best in the industry. - Users find iceDQ to be **very easy to use** , appreciating its intuitive interface and supportive customer service. - Users love the **intuitive interface and powerful Gen AI capabilities** of iceDQ, enhancing their automation and testing experience. #### 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) --- ### 21. [DataBahn](https://www.g2.com/products/databahn/reviews) DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI. With native support for over 500 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads. Our founding team brings decades of experience in cybersecurity and infrastructure, having previously managed environments ingesting more than 12 petabytes of data per day. That deep domain expertise informs our bold, opinionated approach to solving one of the biggest pain points in enterprise infrastructure: how to unify and act on fragmented, fast-growing data streams. Purpose-built for scale, speed, and simplicity, DataBahn replaces patchwork stacks with a single intuitive solution that accelerates time to value and turns security data from a cost center into a strategic asset. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **How Do G2 Users Rate DataBahn?** - **Data Observability:** 8.3/10 (Category avg: 9.0/10) - **Testing capabilities:** 8.3/10 (Category avg: 8.7/10) - **Ease of Use:** 9.4/10 (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 DataBahn?** - **Seller:** [DataBahn](https://www.g2.com/sellers/databahn-2b28b768-4c25-4022-98bb-222bee851d98) - **HQ Location:** Dallas, US - **LinkedIn® Page:** https://www.linkedin.com/company/databahn-ai/ (51 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 25% Small-Business #### What Are DataBahn's Pros and Cons? **Pros:** - Integrations (1 reviews) - Scalability (1 reviews) - Streamlining Processes (1 reviews) **Cons:** - Complex Setup (1 reviews) - Difficult Learning (1 reviews) ### What Do G2 Reviewers Say About DataBahn? *AI-generated summary from verified user reviews* **Pros:** - Users value the **AI-driven automation** of DataBahn, enhancing data accessibility and decision-making through seamless integration. - Users praise the **scalability** of DataBahn, enhancing data accessibility and optimizing decision-making processes. - Users value the **streamlining of processes** in DataBahn, enhancing data accessibility and boosting decision-making capabilities. **Cons:** - Users note a **complex setup** process initially, which can be challenging until they become more familiar with the platform. - Users note a **difficult learning curve** initially with DataBahn, particularly when configuring complex data pipelines. #### What Are Recent G2 Reviews of DataBahn? **"[Experienced, Professional Data & AI Team Delivering Solutions That Work](https://www.g2.com/survey_responses/databahn-review-12846547)"** **Rating:** 5.0/5.0 stars *— Parrish G.* [Read full review](https://www.g2.com/survey_responses/databahn-review-12846547) --- **"[Databahn Streamlines Data Integration and Cuts SIEM Costs with AI Optimization](https://www.g2.com/survey_responses/databahn-review-12846740)"** **Rating:** 4.5/5.0 stars *— Srirag G.* [Read full review](https://www.g2.com/survey_responses/databahn-review-12846740) --- ### 22. [Datagaps DataOps Suite](https://www.g2.com/products/datagaps-dataops-suite/reviews) The Comprehensive End-to-End Data Validation Platform. A platform for automating Data Integration and Data Management projects. Seamless Data Pipeline & BI Testing Automation Powered by AI Production Data Reconciliation & Data Quality Monitoring ETL Validator ETL Validator is a powerful ETL/ELT testing tool that automates validation during data migration and data warehouse projects. Simplifies testing of Data Integration, Data Warehouse, and Data Migration projects. BI Validator Streamline and enhance the testing of BI reports, ensuring data accuracy and reliability across BI platforms. A tool for Functional, Regression, Performance, and Stress Testing on BI platforms such as Tableau, Oracle Analytics, BusinessObjects, and Cognos. Data Quality Monitor DataOps DQ Monitor automates data testing in motion and data at rest. Business users can monitor the data quality metrics using intuitive Dashboards. To ensure greater accuracy, closely monitor the data output. Test Data Manager You can generate compliant test data required for your comprehensive testing needs, independently without technical help using Datagaps Test Data Manager. A Top-Notch Test Data Management Tool **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:** https://www.linkedin.com/company/datagaps/?viewAsMember=true (118 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 78% Enterprise, 11% Mid-Market #### What Are Datagaps DataOps Suite's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Automation (3 reviews) - Data Quality (3 reviews) - Easy Integrations (3 reviews) - Features (3 reviews) **Cons:** - Complex Setup (1 reviews) - Dependency Issues (1 reviews) - Difficult Setup (1 reviews) - Lack of Automation (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Datagaps DataOps Suite? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Datagaps DataOps Suite, enabling seamless implementation and efficient data management. - Users commend the **automation capabilities** of Datagaps DataOps Suite, enabling reliable and efficient data operations seamlessly. - Users value the **improved data quality** of Datagaps DataOps Suite, boosting confidence in analytics and decision-making. - Users appreciate the **easy integrations** of Datagaps DataOps Suite, which streamline data handling across various platforms effortlessly. - Users appreciate the **comprehensive features** of Datagaps DataOps Suite, especially its flexibility and ease of integration. **Cons:** - Users find the **complex setup** time-consuming, but appreciate the suite's reliability and effectiveness post-setup. - Users find **dependency issues** hinder workflow efficiency, desiring better automation and interconnectivity between dataflows. - Users find the **difficult setup** of Datagaps DataOps Suite can be time-consuming, but it pays off later. - Users find the **lack of automation** cumbersome, wishing for features to streamline job management and dataflow dependencies. - Users note a significant **learning curve** for teams transitioning to automation in DataOps practices with Datagaps DataOps Suite. #### 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) --- ### 23. [Kleene](https://www.g2.com/products/kleene/reviews) Kleene.ai unifies your business data in one place to power real-time reporting, analytics, and AI-driven decisions. Go live in weeks, not months — without building a data team. Kleene.ai gives mid-market and enterprise businesses a single, intelligent platform to understand what drives growth. It connects to 200+ data sources — from CRMs and ERPs to marketing and finance tools — and automatically cleans, combines, and models your data for reporting, analytics, and forecasting. At the core of the platform is KAI: an AI-powered analytics layer that surfaces insights across your business, and a conversational AI assistant that lets teams query their data in plain language — no SQL, no analysts, no waiting. Whether you're investigating churn, margins, or customer lifetime value, KAI puts answers directly in the hands of the people who need them. Kleene.ai is built for organizations that want to make faster, data-driven decisions without the complexity of managing disparate tools or large engineering teams. Every implementation is tailored to your existing data environment — with transparent pricing and a clear path to value. Why Kleene: 1️⃣ Fast to implement — adapts to any data architecture and goes live in weeks, not months. 2️⃣ No engineering overhead — a fully managed platform that eliminates the need for a large data team, cutting infrastructure costs by up to 80%. 3️⃣ AI-powered from day one — KAI's analytics layer and LLM assistant turn complex data into clear, actionable answers across finance, marketing, and operations. 4️⃣ Tailored to your business — every setup aligns with your existing environment and goals, backed by transparent pricing and hands-on support. Kleene.ai replaces the fragmented, manual approach to data with a single platform that thinks alongside your team. The result: faster insights, sharper decisions, and measurable business impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Kleene?** - **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 Kleene?** - **Seller:** [kleene.ai](https://www.g2.com/sellers/kleene-ai) - **Company Website:** https://kleene.ai/ - **Year Founded:** 2017 - **HQ Location:** London, London - **Twitter:** @Kleene_ai (32 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kleeneai/ (35 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Kleene's Pros and Cons? **Pros:** - Automation (2 reviews) - Business Value (2 reviews) - Customer Support (2 reviews) - Customization (2 reviews) - Ease of Use (2 reviews) ### What Do G2 Reviewers Say About Kleene? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of Kleene, achieving efficient reporting and significant time savings quickly. - Users value the **significant time savings** with Kleene, noting streamlined reporting and consolidated data access. - Users praise Kleene's **exceptional customer support** , highlighting responsiveness and knowledgeable assistance facilitating seamless onboarding and ongoing success. - Users value the **customization options** in Kleene, facilitating tailored data management and reporting across various needs. - Users appreciate the **ease of use** in Kleene, highlighting its intuitive interface and seamless onboarding experience. #### What Are Recent G2 Reviews of Kleene? **"[Changed my life, love it!](https://www.g2.com/survey_responses/kleene-review-7138871)"** **Rating:** 5.0/5.0 stars *— Alisha S.* [Read full review](https://www.g2.com/survey_responses/kleene-review-7138871) --- **"[A partner who builds with you](https://www.g2.com/survey_responses/kleene-review-12919267)"** **Rating:** 5.0/5.0 stars *— Emil K.* [Read full review](https://www.g2.com/survey_responses/kleene-review-12919267) --- ### 24. [Elementary Data](https://www.g2.com/products/elementary-data/reviews) Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when something breaks. Trusted by 5000+ analytics and data engineers, Elementary helps data-driven companies deliver production-grade data. **Average Rating:** 4.5/5.0 **Total Reviews:** 18 **How Do G2 Users Rate Elementary Data?** - **Data Observability:** 10.0/10 (Category avg: 9.0/10) - **Testing capabilities:** 8.3/10 (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)?:** 9.2/10 (Category avg: 10/10) **Who Is the Company Behind Elementary Data?** - **Seller:** [Elementary Data](https://www.g2.com/sellers/elementary-data) - **Year Founded:** 2022 - **HQ Location:** N/A - **Twitter:** @ElementaryData (403 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/elementary-data/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Mid-Market, 22% Enterprise #### What Are Elementary Data's Pros and Cons? **Pros:** - Features (8 reviews) - Insights (8 reviews) - Ease of Use (7 reviews) - Slack Integration (7 reviews) - Alerting System (6 reviews) **Cons:** - Integration Issues (6 reviews) - Database Integration Issues (4 reviews) - Limited Integration (3 reviews) - API Limitations (2 reviews) - Limited Features (2 reviews) ### What Do G2 Reviewers Say About Elementary Data? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **intuitive dashboard** and seamless integration, enhancing data quality monitoring and observability. - Users appreciate the **intuitive interface and seamless integration** of Elementary Data, enhancing data quality monitoring significantly. - Users appreciate the **ease of use** in Elementary Data, enabling quick setup and intuitive monitoring of data quality. - Users appreciate the **seamless Slack integration** , enabling efficient communication and timely data alerts for better decision-making. - Users value the **efficient alerting system** that enhances data monitoring and facilitates quick responses to issues. **Cons:** - Users face **integration issues** with Elementary Data, limiting its effectiveness for teams not using dbt or lacking maturity. - Users criticize the **database integration issues** of Elementary Data, limiting its compatibility with other transformation tools. - Users identify the **limited integration** options with other tools as a drawback, affecting overall workflow adaptability. - Users face **API limitations** that hinder integration flexibility and alert management in Elementary Data. - Users note the **limited features** of Elementary Data, struggling with clarity and functionality in certain aspects. #### What Are Recent G2 Reviews of Elementary Data? **"[Effortless Data Quality Monitoring Made Simple](https://www.g2.com/survey_responses/elementary-data-review-10764174)"** **Rating:** 5.0/5.0 stars *— Alonso A.* [Read full review](https://www.g2.com/survey_responses/elementary-data-review-10764174) --- **"[A lean data observability platform](https://www.g2.com/survey_responses/elementary-data-review-10729558)"** **Rating:** 4.0/5.0 stars *— Artur Y.* [Read full review](https://www.g2.com/survey_responses/elementary-data-review-10729558) --- ### 25. [Kaarvi](https://www.g2.com/products/kaarvi/reviews) Kaarvi is an Agentic AI data management platform that helps organizations integrate, prepare, govern, analyze, and activate data through a unified, no-code environment. Kaarvi is designed for organizations that need to manage growing volumes of data across multiple systems while improving data quality, governance, observability, and accessibility. The platform combines data ingestion, transformation, orchestration, analytics, and AI-assisted automation into a single workflow, enabling technical and non-technical users to work with data from source to decision. Organizations use Kaarvi to address common data management challenges such as fragmented data sources, manual data preparation, inconsistent data quality, limited visibility into pipeline performance, and growing demands for AI-ready data. The platform supports both batch and real-time data workflows and can be deployed alongside existing cloud, database, analytics, and business intelligence technologies. Key capabilities include: Data Integration and Pipeline Automation: Connect, ingest, transform, and orchestrate data from multiple sources using visual workflows, reusable templates, and AI-assisted pipeline generation. Data Quality and Observability: Monitor data health, validate datasets, track lineage, identify anomalies, and improve trust in business-critical data assets. No-Code Data Operations: Enable users to build and manage data workflows through a drag-and-drop interface without requiring extensive coding expertise. Agentic AI and Analytics: Talk to your data using conversational interfaces, AI-assisted transformations, and automated dashboard generation to accelerate analysis and decision-making. Live Sync: Automated synchronization that keeps source data, pipelines, dashboards, lineage, and governance controls continuously updated as data changes. Governance and Security: Apply role-based access controls, auditability, validation checkpoints, and human-in-the-loop oversight to support governance and compliance requirements. Kaarvi serves organizations across industries including energy, manufacturing, retail, legal, and other data-intensive sectors. Typical use cases include data preparation, reporting and analytics, operational intelligence, AI readiness initiatives, workflow automation, data governance, and enterprise data modernization projects. By bringing multiple stages of the data lifecycle into a single platform, Kaarvi helps organizations reduce reliance on disconnected tools while improving data accessibility, quality, transparency, and operational efficiency. **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Kaarvi?** - **Data Observability:** 10.0/10 (Category avg: 9.0/10) - **Ease of Use:** 9.2/10 (Category avg: 9.0/10) **Who Is the Company Behind Kaarvi?** - **Seller:** [Kaarvi](https://www.g2.com/sellers/kaarvi) - **Company Website:** https://www.kaarvi.ai - **Year Founded:** 2024 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/kaarvi/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Kaarvi? **"[Kaarvi Collapsed Our Data Stack and Delivered Dashboards in minutes](https://www.g2.com/survey_responses/kaarvi-review-12857182)"** **Rating:** 5.0/5.0 stars *— Sri C.* [Read full review](https://www.g2.com/survey_responses/kaarvi-review-12857182) --- **"[Kaarvi Tames Messy Industrial Data and Saves Hours with an Intuitive Workflow](https://www.g2.com/survey_responses/kaarvi-review-12854197)"** **Rating:** 4.5/5.0 stars *— Meher R.* [Read full review](https://www.g2.com/survey_responses/kaarvi-review-12854197) --- ## What Is DataOps Platforms? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to DataOps Platforms? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Data Observability Software](https://www.g2.com/categories/data-observability)