# Best Data Observability Software - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Data observability involves the complete monitoring, managing, and understanding of the modern data tech stack. These tools allow companies to better manage their data by helping them discover and solve real-time data issues and gain complete insight into the system’s data health. Data observability tools help companies accelerate the adoption of data across departments. This helps in making strategic and data-driven decisions that benefit the entire organization. The concept of data observability stems from best practices learned from DevOps software to manage impartial, inaccurate, or erroneous data. These best practices, which include optimizing logs, real-time insights, and so on, enable the creation of error-free and trusted data across the entire data stack, which includes data sources, data warehouses, ETL tools, ML/BI tools, etc. Data observability tools are a part of [DataOps platforms](https://www.g2.com/categories/dataops-platforms). DataOps platforms assemble several types of data management software into an individual, integrated environment. The platform unifies all the development and operations in data workflows. Data observability software focuses on monitoring the health of the data pipelines and the overall system. Data observability tools differ from [monitoring software](https://www.g2.com/categories/monitoring) since the latter focuses on pre-determined metrics to identify bugs, whereas data observability focuses on real-time detection and resolution. Data observability also differs from [data quality software](https://www.g2.com/categories/data-quality), wherein the former focuses on reducing the number of data incidents while accelerating resolution time. Data quality is the result of powerful data observability across the modern data stack. To qualify for inclusion in the Data Observability category, a product must: - Proactively monitor, alert, track, log, compare, and analyze data for any errors or issues across the entire data stack - Monitor data at rest and data in motion, and does not require data extraction from current storage location - Connect to an existing stack without any need to write code or modify data pipelines ## G2 Grid® for Data Observability Software ![G2 Grid® for Data Observability Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-observability/grids.png?focus%5B%5D=142449&focus%5B%5D=1177892&focus%5B%5D=1406158&focus%5B%5D=122327&focus%5B%5D=1324178&focus%5B%5D=1315436&focus%5B%5D=1224334&focus%5B%5D=130708) Highlighted products: Monte Carlo, Metaplane, Dash0, DQLabs, Rakuten SixthSense Data Observability, SquaredUp, decube, and Acceldata. Underlying data: [Grid® JSON](https://www.g2.com/categories/data-observability/grids.json?focus%5B%5D=monte-carlo&focus%5B%5D=metaplane&focus%5B%5D=dash0&focus%5B%5D=dqlabs&focus%5B%5D=rakuten-sixthsense-data-observability&focus%5B%5D=squaredup-squaredup&focus%5B%5D=decube&focus%5B%5D=acceldata) ## How Many Data Observability Software Products Does G2 Track? **Total Products under this Category:** 65 ### Category Stats (Jul 2026) - **Average Rating**: 4.57/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Dash0 (+0.08%) - Among all products in this category, Dash0 recorded the largest rating increase compared to last month *Last updated: July 22, 2026* ## How Does G2 Rank Data Observability Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 2,400+ Authentic Reviews - 65+ 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. --- **Sponsored** ### Monte Carlo Monte Carlo is the agent trust platform, trusted by Nasdaq, Cisco, PepsiCo, and hundreds of enterprise organizations worldwide. Founded in 2019 and backed by leading investors, Monte Carlo pioneered data observability and has expanded into the full AI reliability stack. We're consistently ranked #1 in data observability on G2 — and we're built for what comes next. As enterprises scale from dozens to thousands of AI agents across mission-critical use cases, Monte Carlo monitors, troubleshoots, and improves both those agents and the underlying data powering them. Our platform covers the full trust stack — from the data pipelines feeding agents, to the context they retrieve, the decisions they make, and the outputs they produce — across four trust dimensions: context quality, performance, behavior, and outputs. Only Monte Carlo closes the full trust loop across both data and AI, and we meet enterprises wherever they are on the spectrum from human-guided oversight to fully autonomous operations. With 100+ integrations across Snowflake, Databricks, and the rest of your stack, you get full coverage without ripping anything out. Traditional monitoring tools stop at the pipeline or cover only one dimension of reliability — leaving teams to manually investigate, diagnose, and fix failures across disconnected tools. Monte Carlo closes that gap. Teams using Monte Carlo dramatically reduce time to detect and resolve data and AI incidents, scale monitoring coverage without scaling headcount, and build the internal trust that turns AI investments into real business outcomes. If your organization is serious enough about AI to put it in front of customers, executives, and critical decisions — Monte Carlo is the foundation it needs. [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=1003968&secure%5Bchosen_at%5D=2026-07-23T01%3A54%3A16Z&secure%5Bdisplayable_resource_id%5D=1003968&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1003968&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=142449&secure%5Bresource_id%5D=1003968&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=llm_category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-observability&secure%5Btoken%5D=d7018abc08de28b187b9990b8b8260b9e5167bc1a6ce773bee110be5485e4d02&secure%5Burl%5D=https%3A%2F%2Fmontecarlo.ai%2F%3Futm_source%3Dg2_clicks%26utm_medium%3Dpeer_review%26utm_term%3Ddata_observability&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Data Observability Software Products in 2026? ### 1. [Datazip](https://www.g2.com/products/datazip/reviews) Discover Datazip, a comprehensive no-code data engineering solution designed for time-conscious analysts and operators. Simplify your data management process by consolidating dispersed data sources, utilizing ETL, data warehousing, and transformation capabilities. With Datazip's intuitive platform, create a dependable, scalable data infrastructure in a mere 45 minutes. Experience swift data connections, robust querying, and smooth exporting to drive insightful decision-making. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Datazip?** - **Ease of Admin:** 8.9/10 (Category avg: 8.8/10) - **Anomaly identification:** 9.8/10 (Category avg: 8.8/10) - **Automation:** 9.6/10 (Category avg: 8.6/10) - **Integrations:** 10.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Datazip?** - **Seller:** [Datazip, Inc.](https://www.g2.com/sellers/datazip-inc) - **Year Founded:** 2022 - **HQ Location:** Lewes, US - **LinkedIn® Page:** https://www.linkedin.com/company/datazipio/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Small-Business, 31% Mid-Market #### What Are Recent G2 Reviews of Datazip? **"[Datazip platform is easy to use because it has a user-friendly interface(drag and drop option).](https://www.g2.com/survey_responses/datazip-review-7949232)"** **Rating:** 5.0/5.0 stars *— Sanjay D.* [Read full review](https://www.g2.com/survey_responses/datazip-review-7949232) --- **"[Datazip is all about visibility!](https://www.g2.com/survey_responses/datazip-review-8191979)"** **Rating:** 5.0/5.0 stars *— Aakarsh Y.* [Read full review](https://www.g2.com/survey_responses/datazip-review-8191979) --- ### 2. [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 Admin:** 8.3/10 (Category avg: 8.8/10) - **Anomaly identification:** 8.5/10 (Category avg: 8.8/10) - **Automation:** 8.5/10 (Category avg: 8.6/10) - **Integrations:** 8.6/10 (Category avg: 8.8/10) **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) - Customer Support (6 reviews) - Efficiency Improvement (5 reviews) - Insights (3 reviews) - Issue Resolution (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 the **exceptional data lineage visualization** of Pantomath, enhancing efficiency in managing complex data operations. - Users appreciate the **responsive and helpful customer support** from Pantomath, enhancing their overall experience and satisfaction. - Users commend Pantomath for its **enhanced efficiency** , enabling faster issue resolution and streamlined data operations. - Users value the **comprehensive data visibility** Pantomath offers, enhancing tracking and troubleshooting of their data operations. - Users value the **effective issue resolution** in Pantomath, allowing for quick identification and fixing of data pipeline problems. **Cons:** - Users report **overwhelming alerts** at setup, needing time to fine-tune them for meaningful insights. - Users find the **poor documentation** on Pantomath integration challenging, despite timely bug fixes from the team. - Users find the **complex setup** process challenging initially, requiring time to adjust and optimize configurations effectively. - Users find the **difficult learning curve** of Pantomath challenging, especially for those lacking prior experience. - Users find the **learning curve steep** , making it challenging for inexperienced individuals to utilize certain features effectively. #### 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) --- ### 3. [Anomalo](https://www.g2.com/products/anomalo/reviews) Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity. **Average Rating:** 4.4/5.0 **Total Reviews:** 44 **How Do G2 Users Rate Anomalo?** - **Ease of Admin:** 7.8/10 (Category avg: 8.8/10) - **Anomaly identification:** 9.0/10 (Category avg: 8.8/10) - **Automation:** 7.8/10 (Category avg: 8.6/10) - **Integrations:** 7.1/10 (Category avg: 8.8/10) **Who Is the Company Behind Anomalo?** - **Seller:** [Anomalo](https://www.g2.com/sellers/anomalo) - **Company Website:** https://www.anomalo.com/ - **Year Founded:** 2018 - **HQ Location:** N/A - **Twitter:** @anomalo_hq (555 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/anomalo (84 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 50% Mid-Market, 48% Enterprise #### What Are Recent G2 Reviews of Anomalo? **"[Anomalo Makes Proactive Data Quality Easy with Smart Issue Detection](https://www.g2.com/survey_responses/anomalo-review-13084151)"** **Rating:** 5.0/5.0 stars *— Ronny B.* [Read full review](https://www.g2.com/survey_responses/anomalo-review-13084151) --- **"[Proactive Anomaly Detection That Saves Time and Boosts Data Confidence](https://www.g2.com/survey_responses/anomalo-review-12975209)"** **Rating:** 4.5/5.0 stars *— Pranjali B.* [Read full review](https://www.g2.com/survey_responses/anomalo-review-12975209) --- #### What Are G2 Users Discussing About Anomalo? - [What is Anomalo used for?](https://www.g2.com/discussions/what-is-anomalo-used-for) ### 4. [Integrate.io](https://www.g2.com/products/integrate-io/reviews) Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics **Average Rating:** 4.3/5.0 **Total Reviews:** 211 **How Do G2 Users Rate Integrate.io?** - **Ease of Admin:** 8.7/10 (Category avg: 8.8/10) - **Anomaly identification:** 8.6/10 (Category avg: 8.8/10) - **Automation:** 8.1/10 (Category avg: 8.6/10) - **Integrations:** 8.6/10 (Category avg: 8.8/10) **Who Is the Company Behind Integrate.io?** - **Seller:** [Integrate.io](https://www.g2.com/sellers/integrate-io) - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @Integrateio (4,285 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709076/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Mid-Market, 32% Small-Business #### What Are Integrate.io's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Customer Support (7 reviews) - Easy Integrations (7 reviews) - Automation (5 reviews) - Easy Setup (5 reviews) **Cons:** - Learning Difficulty (3 reviews) - Limited Integrations (3 reviews) - Poor Documentation (3 reviews) - API Issues (2 reviews) - API Limitations (2 reviews) ### What Do G2 Reviewers Say About Integrate.io? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** and flexibility of Integrate.io, making it simple to manage diverse data workflows. - Users value the **responsive and knowledgeable customer support** from Integrate.io, enhancing their overall experience with the platform. - Users commend the **easy integrations** of Integrate.io, appreciating its seamless connection with diverse data sources. - Users value the **automation features** of Integrate.io for its user-friendly design and seamless workflow scheduling. - Users find the **easy setup** of Integrate.io intuitive, allowing quick onboarding and efficient data management for teams. **Cons:** - Users note a **learning difficulty** with advanced transformations, requiring time and effort to fully leverage the tool. - Users find the **limited integrations** with sources and features hinder flexibility and ease of use in complex setups. - Users find **poor documentation** frustrating, particularly regarding API integration and complex transformation setups. - Users highlight the need for **better API documentation** to enhance integration and overall usability of Integrate.io. - Users need more **detailed API documentation** to improve integration and usage of Integrate.io's features effectively. #### What Are Recent G2 Reviews of Integrate.io? **"[Finally stopped worrying about our data pipelines, and that's saying a lot](https://www.g2.com/survey_responses/integrate-io-review-12398331)"** **Rating:** 5.0/5.0 stars *— Abe D.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12398331) --- **"[Effortless Setup, Intuitive Use, and Reliable Performance](https://www.g2.com/survey_responses/integrate-io-review-12841374)"** **Rating:** 5.0/5.0 stars *— Craig P.* [Read full review](https://www.g2.com/survey_responses/integrate-io-review-12841374) --- #### What Are G2 Users Discussing About Integrate.io? - [What is Integrate.io used for?](https://www.g2.com/discussions/what-is-integrate-io-used-for) ### 5. [Mezmo](https://www.g2.com/products/mezmo/reviews) Mezmo built an AI SRE agent that helps SRE and platform teams manage production environments with greater context, control, and trust. It supports autonomous incident detection, investigates incidents, identifies likely root causes, generates post-mortems, and turns repeatable operations work into governed agentic workflows on-call teams can rely on. The agent runs on AURA, Mezmo’s open-source agent harness, and is grounded by Mezmo’s real-time telemetry pipeline. Together, they give the agent task-ready context from logs, metrics, and traces instead of raw data dumps. Mezmo keeps production AI inspectable and controlled. Teams can connect their own models, integrate existing tools through MCP, run workflows on their own infrastructure, and audit every plan, prompt, and tool call. Mezmo is built for SRE and platform teams that want to bring AI into production operations without giving up control, context, or trust. **Average Rating:** 4.6/5.0 **Total Reviews:** 213 **How Do G2 Users Rate Mezmo?** - **Ease of Admin:** 9.2/10 (Category avg: 8.8/10) - **Anomaly identification:** 9.2/10 (Category avg: 8.8/10) - **Automation:** 8.7/10 (Category avg: 8.6/10) - **Integrations:** 9.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Mezmo?** - **Seller:** [Mezmo](https://www.g2.com/sellers/mezmo) - **Year Founded:** 2015 - **HQ Location:** San Jose, California - **Twitter:** @mezmodata (1,733 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mezmo/ (61 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, CTO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 64% Small-Business, 32% Mid-Market #### What Are Mezmo's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Log Management (5 reviews) - Monitoring (5 reviews) - Real-time Monitoring (5 reviews) - Efficiency Improvement (4 reviews) **Cons:** - UX Improvement (3 reviews) - Complex Setup (2 reviews) - Expensive (2 reviews) - Learning Difficulty (2 reviews) - Log Management (2 reviews) ### What Do G2 Reviewers Say About Mezmo? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **ease of use** of Mezmo, highlighting its intuitive UI and efficient log analysis capabilities. - Users appreciate the **ease of log collection and analysis** with Mezmo, enhancing incident response efficiency significantly. - Users value the **real-time monitoring** capabilities of Mezmo, streamlining log management and incident response efficiency. - Users appreciate the **real-time monitoring** capabilities of Mezmo, enhancing incident response and simplifying log analysis. - Users commend Mezmo for its **efficiency improvement** , significantly enhancing productivity and simplifying log management across systems. **Cons:** - Users find the **UX improvement** necessary, as the website design complicates navigation and access to documentation. - Users note that the **complex setup** of Mezmo demands specialized skills and significant resources for effective implementation. - Users are concerned about the **high costs** of Mezmo, especially with rising prices based on log volume. - Users find the **learning difficulty** of Mezmo challenging at first, but recent improvements have aided in understanding. - Users find it frustrating that they cannot use **regular "log" level** and face limitations on log submission. #### What Are Recent G2 Reviews of Mezmo? **"[Mezmo has helped our security operations as far as speed, efficiency, and integrations available](https://www.g2.com/survey_responses/mezmo-review-11110311)"** **Rating:** 5.0/5.0 stars *— Verified User in Telecommunications* [Read full review](https://www.g2.com/survey_responses/mezmo-review-11110311) --- **"[Streamlined Log Management and Observability with Mezmo](https://www.g2.com/survey_responses/mezmo-review-11670560)"** **Rating:** 5.0/5.0 stars *— Nilansh B.* [Read full review](https://www.g2.com/survey_responses/mezmo-review-11670560) --- #### What Are G2 Users Discussing About Mezmo? - [What does LogDNA do?](https://www.g2.com/discussions/what-does-logdna-do) - [Is LogDNA open source?](https://www.g2.com/discussions/is-logdna-open-source) - 1 comment - [What is the use of log DNA?](https://www.g2.com/discussions/what-is-the-use-of-log-dna) - [How do you use LogDNA?](https://www.g2.com/discussions/how-do-you-use-logdna) - 1 comment ### 6. [SelectZero](https://www.g2.com/products/selectzero/reviews) SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven is a strategic goal for many companies, as it unlocks new business opportunities, improves decision-making, and drives efficiency. But these gains are only achievable when the underlying data is accurate, timely, and trustworthy. Without continuous visibility into how data changes and moves across systems, teams risk delays, poor analytics, and costly mistakes. SelectZero provides a collaborative platform for end-to-end data observability and management. It enables centralized oversight of data quality, automates validation workflows, and offers transparency into data behavior. Key features include data profiling, business rule validation, unit and regression testing, reconciliation, anomaly detection, and ETL pipeline testing. The platform is built for both technical and business users. It is quick to deploy, easy to navigate, and includes prebuilt validation templates to speed up adoption. Data engineers, analysts, and stewards can create and manage validation logic, monitor data trends, and generate insights that improve trust in data assets. SelectZero is trusted by major enterprises in banking, retail, telecommunications, and the public sector across the Nordics and Baltics. Our development is customer-driven, with features shaped by real-world needs and use cases. To learn more, visit SelectZero.com or contact us at info@selectzero.com. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate SelectZero?** - **Ease of Admin:** 9.5/10 (Category avg: 8.8/10) - **Anomaly identification:** 8.6/10 (Category avg: 8.8/10) - **Automation:** 6.7/10 (Category avg: 8.6/10) - **Integrations:** 8.1/10 (Category avg: 8.8/10) **Who Is the Company Behind SelectZero?** - **Seller:** [SelectZero](https://www.g2.com/sellers/selectzero) - **Company Website:** https://selectzero.com/ - **Year Founded:** 2020 - **HQ Location:** Estonia - **LinkedIn® Page:** https://www.linkedin.com/company/selectzero/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 62% Mid-Market, 23% Enterprise #### What Are SelectZero's Pros and Cons? **Pros:** - Customer Support (10 reviews) - Ease of Use (10 reviews) - Features (8 reviews) - User Experience (7 reviews) - Efficiency Improvement (6 reviews) **Cons:** - User Interface Issues (3 reviews) - Limitations (2 reviews) - Limited Customization (2 reviews) - Limited Functionality (2 reviews) - User Difficulty (2 reviews) ### What Do G2 Reviewers Say About SelectZero? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **fast and friendly customer support** of SelectZero, consistently resolving issues quickly and efficiently. - Users appreciate the **ease of use** of SelectZero, enabling efficient data management for all levels of experience. - Users value the **user-friendly interface and robust features** of SelectZero, enhancing data governance efficiency. - Users highlight the **user-friendly experience** of SelectZero, appreciating its intuitive design and responsive customer support. - Users value the **efficiency improvement** provided by SelectZero, enhancing data management and streamlining workflows effortlessly. **Cons:** - Users note some **user interface issues** in SelectZero, citing its less intuitive layout and potential for improvement. - Users face **significant limitations** in notification options, lacking features like tables for alerts in notifications. - Users desire **more extensive customization options** for reports and glossaries, hoping for improvements in future releases. - Users note the **limited functionality** of notifications, hoping for more options and improvements in the future. - Users find the **user interface challenging** , requiring time to adapt and desire more guidance for better usage. #### What Are Recent G2 Reviews of SelectZero? **"[Data quality and governance go hand-in-hand so it makes sense to keep them in one product](https://www.g2.com/survey_responses/selectzero-review-12245451)"** **Rating:** 5.0/5.0 stars *— Andres V.* [Read full review](https://www.g2.com/survey_responses/selectzero-review-12245451) --- **"[Selectzero Makes Multi-System Data Quality Validation Easy](https://www.g2.com/survey_responses/selectzero-review-12859240)"** **Rating:** 4.5/5.0 stars *— Carl A.* [Read full review](https://www.g2.com/survey_responses/selectzero-review-12859240) --- ### 7. [Kensu](https://www.g2.com/products/kensu/reviews) Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data observability at scale is essential. The best way to achieve this is through what is called Data Observability Driven Development [DODD] which implies observable information is produced by the applications. The method is a paradigm shift that allows data teams and data usage to scale efficiently. DODD is done from within the applications to enable data projects with synchronized observability, continuous validation, and contextual observability. **Average Rating:** 4.3/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Kensu?** - **Ease of Admin:** 7.7/10 (Category avg: 8.8/10) - **Anomaly identification:** 8.3/10 (Category avg: 8.8/10) - **Automation:** 8.3/10 (Category avg: 8.6/10) - **Integrations:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Kensu?** - **Seller:** [Kensu](https://www.g2.com/sellers/kensu) - **Year Founded:** 2018 - **HQ Location:** San Francisco Bay Area, US - **Twitter:** @kensuio (253 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kensuio/ (9 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 40% Small-Business #### What Are Recent G2 Reviews of Kensu? **"["Integration made simple with Kensu"](https://www.g2.com/survey_responses/kensu-review-7961684)"** **Rating:** 5.0/5.0 stars *— Madhusudhan M.* [Read full review](https://www.g2.com/survey_responses/kensu-review-7961684) --- **"[For safer database, use Kensu.](https://www.g2.com/survey_responses/kensu-review-7998966)"** **Rating:** 4.5/5.0 stars *— Sheina G.* [Read full review](https://www.g2.com/survey_responses/kensu-review-7998966) --- ### 8. [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews) For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world. **Average Rating:** 4.5/5.0 **Total Reviews:** 135 **How Do G2 Users Rate Astro by Astronomer?** - **Ease of Admin:** 8.8/10 (Category avg: 8.8/10) - **Anomaly identification:** 7.7/10 (Category avg: 8.8/10) - **Automation:** 8.1/10 (Category avg: 8.6/10) - **Integrations:** 7.5/10 (Category avg: 8.8/10) **Who Is the Company Behind Astro by Astronomer?** - **Seller:** [Astronomer](https://www.g2.com/sellers/astronomer) - **Company Website:** https://www.astronomer.io/ - **Year Founded:** 2018 - **HQ Location:** New York, US - **Twitter:** @astronomerio (19,697 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10019299 (4,572 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Senior Data Engineer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Mid-Market, 38% Enterprise #### What Are Astro by Astronomer's Pros and Cons? **Pros:** - Ease of Use (25 reviews) - Efficiency Improvement (14 reviews) - User Interface (13 reviews) - Automation (11 reviews) - Deployment Ease (10 reviews) **Cons:** - Expensive (8 reviews) - Learning Difficulty (8 reviews) - Learning Curve (6 reviews) - Difficult Learning (5 reviews) - Feature Limitations (5 reviews) ### What Do G2 Reviewers Say About Astro by Astronomer? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Astro, with intuitive UI and seamless Slack integration for monitoring. - Users appreciate the **efficiency improvement** of Astro, enhancing workflow management and saving valuable time. - Users appreciate the **intuitive user interface** of Astro, simplifying complex workflows and enhancing team collaboration. - Users love the **automation capabilities** of Astro by Astronomer, enhancing efficiency in data orchestration and monitoring. - Users value the **deployment ease** of Astro by Astronomer, streamlining Airflow and ensuring reliable data pipeline management. **Cons:** - Users express concerns over Astro by Astronomer's **high pricing** and lack of transparency, particularly for smaller teams. - Users report a **steep learning curve** for new team members, requiring significant time for adaptation and training. - Users struggle with a **steep learning curve** , making adaptation and training for Astro challenging for new team members. - Users often find a **steep learning curve** with Astro, requiring extra time for adaptation and training for new users. - Users find the **limited customization** of Astro restrictive, especially compared to self-hosted Airflow options. #### What Are Recent G2 Reviews of Astro by Astronomer? **"[Excellent developer and customer experience](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848)"** **Rating:** 5.0/5.0 stars *— Juan Roberto H.* [Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8428848) --- **"[Asro literally assists in data engineering work, making it easier and more productive.](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803)"** **Rating:** 5.0/5.0 stars *— Lakshminarayanan K.* [Read full review](https://www.g2.com/survey_responses/astro-by-astronomer-review-8519803) --- #### What Are G2 Users Discussing About Astro by Astronomer? - [What is your experience with Astro by Astronomer for data orchestration, and what challenges have you faced?](https://www.g2.com/discussions/what-is-your-experience-with-astro-by-astronomer-for-data-orchestration-and-what-challenges-have-you-faced) - [What is Astro by Astronomer used for?](https://www.g2.com/discussions/what-is-astro-by-astronomer-used-for) ### 9. [OpsPilot](https://www.g2.com/products/opspilot/reviews) OpsPilot OpsPilot is an AI-powered observability and autonomous reliability platform with an AI Site Reliability Engineering (SRE) teammate that helps engineering and operations teams detect, understand, and resolve incidents faster — and increasingly prevent them from happening at all. Your 24/7 stack expert Modern production systems — microservices, distributed architectures, cloud and hybrid environments — generate enormous volumes of telemetry. Your existing tools surface that data. But they still leave engineers responsible for interpreting signals, finding root causes, and deciding what to do next. OpsPilot closes that gap. It continuously analyzes telemetry across your applications, infrastructure, and services — then tells your team what is happening, why it is happening, and what to do about it. From dashboards to autonomous reliability OpsPilot goes beyond alerting and visualization. It correlates signals across metrics, logs, traces, and deployment events to identify abnormal behavior, explain root causes, and guide teams toward faster resolution — dramatically reducing time spent on incident investigation and operational troubleshooting. Over time, it evolves from reactive investigation toward proactive and autonomous operations. Your AI SRE teammate OpsPilot acts as an AI SRE teammate — augmenting your operations team by answering the questions engineers face during incidents: What changed? Where is the failure occurring? Which service is responsible? What should we investigate next? Three core capabilities Observability — collects and correlates telemetry across metrics, logs, traces, JVM data, and application-level diagnostics for a complete picture of system behavior. Operational Intelligence — applies AI-driven analysis to surface what changed, what is causing the issue, which components are involved, and what actions may resolve it. Foundational capabilities include anomaly detection, alert reduction, telemetry correlation, and root cause analysis. Action and Automation — supports guided incident response, runbook generation, automated remediation, and continuous operational learning — moving teams progressively toward autonomous reliability. OpenTelemetry-native. No new agents required. OpsPilot ingests telemetry via OTLP over gRPC or HTTP — no proprietary agent required. It works with your existing OpenTelemetry instrumentation across Kubernetes, microservices, cloud services, and serverless platforms. Prometheus-compatible metrics, Loki log ingestion, and Jaeger/Zipkin trace formats are also supported. For teams needing deep JVM or ColdFusion diagnostics, the optional FusionReactor APM agent provides additional application-level telemetry. Built for DevOps, SRE, and platform engineering teams OpsPilot is designed for organizations running modern production systems that require high reliability and operational efficiency — particularly teams moving toward SRE or platform engineering models who need deeper operational insight without increasing headcount. Deployed as SaaS, hybrid, or agentless via OpenTelemetry. **Average Rating:** 4.8/5.0 **Total Reviews:** 174 **How Do G2 Users Rate OpsPilot?** - **Ease of Admin:** 9.0/10 (Category avg: 8.8/10) - **Anomaly identification:** 10.0/10 (Category avg: 8.8/10) - **Automation:** 10.0/10 (Category avg: 8.6/10) - **Integrations:** 9.6/10 (Category avg: 8.8/10) **Who Is the Company Behind OpsPilot?** - **Seller:** [Intergral](https://www.g2.com/sellers/intergral) - **Company Website:** https://www.fusion-reactor.com/ - **Year Founded:** 1998 - **HQ Location:** Boeblingen, DE - **Twitter:** @Fusion_Reactor (9,345 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/showcase/fusionreactor/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CTO, Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 61% Small-Business, 29% Mid-Market #### What Are OpsPilot's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Insights (8 reviews) - Monitoring (8 reviews) - Real-time Monitoring (7 reviews) - Customer Support (6 reviews) **Cons:** - Learning Curve (4 reviews) - Difficult Configuration (3 reviews) - Learning Difficulty (3 reviews) - Poor UI (3 reviews) - Poor UI Design (3 reviews) ### What Do G2 Reviewers Say About OpsPilot? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of OpsPilot, allowing for straightforward setup and effortless monitoring of applications. - Users find the **real-time web metrics and insights** from OpsPilot extremely useful for monitoring and optimizing app performance. - Users appreciate the **real-time visibility and detailed insights** provided by FusionReactor APM for effective monitoring. - Users love the **real-time monitoring** capabilities of OpsPilot, enabling effective troubleshooting and performance optimization. - Users commend the **excellent customer support** of OpsPilot, noting their friendly and responsive assistance for all inquiries. **Cons:** - Users find the **learning curve steep** due to complex features and confusing settings, impacting effective use of OpsPilot. - Users find **difficult configuration** a challenge, often struggling with settings spread across various menus and options. - Users face a **learning difficulty** with OpsPilot, as setup and feature complexity can be overwhelming initially. - Users find the **UI confusing** and prefer the clearer layout of the on-premises version of OpsPilot. - Users find the **UI design confusing** , especially in the Cloud version, impacting usability and clarity significantly. #### What Are Recent G2 Reviews of OpsPilot? **"[FusionReactor APM: Real-Time Memory Insights and Proactive Crash Protection](https://www.g2.com/survey_responses/opspilot-review-12399926)"** **Rating:** 5.0/5.0 stars *— Octavian C.* [Read full review](https://www.g2.com/survey_responses/opspilot-review-12399926) --- **"[Ein echtes "Must-Have" für jeden Betreiber eines Anwendungsservers.](https://www.g2.com/survey_responses/opspilot-review-11664008)"** **Rating:** 5.0/5.0 stars *— René H.* [Read full review](https://www.g2.com/survey_responses/opspilot-review-11664008) --- #### What Are G2 Users Discussing About OpsPilot? - [What is FusionReactor APM used for?](https://www.g2.com/discussions/what-is-fusionreactor-apm-used-for) ### 10. [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?** - **Ease of Admin:** 7.5/10 (Category avg: 8.8/10) - **Anomaly identification:** 9.2/10 (Category avg: 8.8/10) - **Automation:** 8.3/10 (Category avg: 8.6/10) - **Integrations:** 8.3/10 (Category avg: 8.8/10) **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 (123 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 78% Enterprise, 11% Small-Business #### 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 appreciate the **ease of use and implementation** of Datagaps DataOps Suite, enabling smooth operation for everyone. - Users appreciate the **automation capabilities** of Datagaps DataOps Suite, enhancing efficiency and simplifying complex data processes. - Users appreciate the **high data accuracy** achieved by Datagaps DataOps Suite, enhancing trust in analytics and reporting. - Users appreciate the **easy integrations** of Datagaps DataOps Suite, enhancing functionality across various platforms effortlessly. - Users appreciate the **flexibility and comprehensive features** of Datagaps DataOps Suite for seamless data management. **Cons:** - Users find the **complex setup** of Datagaps DataOps Suite to be time-consuming before enjoying its benefits. - Users find **dependency issues** problematic, wishing for improved options to automate long-running job management. - Users note that the **difficult setup** of Datagaps DataOps Suite can be time-consuming but rewards with effective data quality management. - Users note the **lack of automation** , especially for cleaning up long-running jobs, hindering workflow efficiency. - Users report a significant **learning curve** for teams adapting to DataOps practices and automation methods. #### What Are Recent G2 Reviews of Datagaps DataOps Suite? **"[User-Friendly Interface with Powerful End-to-End Data Validation](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830)"** **Rating:** 4.0/5.0 stars *— Somesh T.* [Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12563830) --- **"[Flexible, Powerful, and Seamless DataOps Solution](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647)"** **Rating:** 5.0/5.0 stars *— Venkata Jyothi D.* [Read full review](https://www.g2.com/survey_responses/datagaps-dataops-suite-review-12129647) --- ### 11. [Datorios](https://www.g2.com/products/datorios/reviews) Rooted in the collective wisdom of the Apache Flink community and addressing the unique challenges faced by enterprises, Datorios is the first data observability platform for Apache Flink, empowering data engineers with the ability to supercharge real-time business innovation and make real-time data processing the organizational norm instead of the exception. Datorios provides never-before-seen insights into the streaming data that fuels streaming data applications and other realtime systems. Datarios reveals exactly how that data looks as it’s being transformed and processed within Apache Flink-based data pipelines, As a result, the development, troubleshooting, and auditing of real time AI applications becomes much easier. Datorios solves the very hard problem of helping Apache Flink developers see this data and all the different ways it can vary during each step of the Apache Flink program. Crucially important in order to speed up development and help engineers perfect the processing of real-time data. **Average Rating:** 4.4/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Datorios?** - **Ease of Admin:** 8.3/10 (Category avg: 8.8/10) - **Anomaly identification:** 10.0/10 (Category avg: 8.8/10) - **Automation:** 8.8/10 (Category avg: 8.6/10) - **Integrations:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Datorios?** - **Seller:** [Datorios](https://www.g2.com/sellers/datorios) - **Year Founded:** 2020 - **HQ Location:** Palo Alto, California - **Twitter:** @datorios (37 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/wedatorios/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Datorios? **"[Datorios helps you Streamlining Your Workflow with Precision and Ease](https://www.g2.com/survey_responses/datorios-review-8501437)"** **Rating:** 4.5/5.0 stars *— Cassio B.* [Read full review](https://www.g2.com/survey_responses/datorios-review-8501437) --- **"[Easy to implement complex EtLT](https://www.g2.com/survey_responses/datorios-review-8128882)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/datorios-review-8128882) --- ### 12. [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?** - **Ease of Admin:** 10.0/10 (Category avg: 8.8/10) - **Anomaly identification:** 10.0/10 (Category avg: 8.8/10) - **Automation:** 10.0/10 (Category avg: 8.6/10) **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 appreciate the **ease of use** of Ascend.io, enabling efficient and flexible data pipeline solutions effortlessly. - Users are impressed with the **automation capabilities** of Ascend.io, significantly reducing manual workload and enhancing efficiency. - Users commend Ascend.io for its **efficiency improvement** , allowing rapid execution of complex data tasks and workflows. - Users appreciate the **flexibility** of Ascend.io, enabling them to solve complex data pipeline challenges efficiently and intuitively. - Users appreciate the **efficient solution** provided by Ascend.io, significantly reducing time spent on data pipeline tasks. **Cons:** - Users find the **difficult learning curve** challenging when transitioning to Ascend.io's declarative automation approach. - Users face a **steep learning curve** when transitioning to Ascend.io's declarative approach and understanding its features. - Users face a significant **learning difficulty** in adapting to Ascend.io’s declarative model compared to traditional scripting methods. - Users note a **limited selection of models** in Ascend.io, impacting their ability to fully customize their experience. - Users face a significant **steep learning curve** when transitioning to Ascend.io's declarative mindset and platform features. #### What Are Recent G2 Reviews of Ascend.io? **"[Agentic Data Engineering Shows Real Promise, But Requires Mental Shift](https://www.g2.com/survey_responses/ascend-io-review-12297132)"** **Rating:** 4.5/5.0 stars *— Stefano T.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12297132) --- **"[Ascend.io demonstrates how powerful agents are](https://www.g2.com/survey_responses/ascend-io-review-12345212)"** **Rating:** 5.0/5.0 stars *— Alina V.* [Read full review](https://www.g2.com/survey_responses/ascend-io-review-12345212) --- ### 13. [Lenses](https://www.g2.com/products/lenses/reviews) Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io **Average Rating:** 4.2/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Lenses?** - **Ease of Admin:** 8.8/10 (Category avg: 8.8/10) - **Anomaly identification:** 7.5/10 (Category avg: 8.8/10) - **Automation:** 6.7/10 (Category avg: 8.6/10) - **Integrations:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Lenses?** - **Seller:** [Lenses.io Ltd](https://www.g2.com/sellers/lenses-io-ltd) - **Company Website:** https://lenses.io/ - **Year Founded:** 2016 - **HQ Location:** London, England - **Twitter:** @lensesio (732 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lensesio/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Enterprise, 35% Mid-Market #### What Are Lenses's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - User Interface (6 reviews) - Features (4 reviews) - Intuitive (4 reviews) - Data Management (3 reviews) **Cons:** - Feature Limitations (5 reviews) - Limitations (5 reviews) - Limited Access (3 reviews) - Missing Features (3 reviews) - Product Maturity (3 reviews) ### What Do G2 Reviewers Say About Lenses? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Lenses, finding it user-friendly and straightforward for data querying. - Users value the **intuitive and user-friendly interface** of Lenses, enhancing productivity and making complex tasks easier. - Users value the **user-friendly interface** of Lenses, making visualization and management of Kafka resources easy and efficient. - Users find Lenses to be highly **intuitive** , enhancing productivity and making complex tasks more manageable. - Users appreciate the **reliable data management** of Lenses, finding its SQL querying straightforward and effective. **Cons:** - Users face **feature limitations** in Lenses, hindering flexibility, interoperability, and overall support for evolving needs. - Users express concerns about **vendor lock-in and lack of support** , limiting future flexibility and feature improvements. - Users express concerns over **limited access** due to vendor lock-in and lack of significant changes in Lenses. - Users are disappointed with the **missing features** in Lenses, noting a lack of significant improvements over time. - Users experience **ongoing bugs and poor documentation** in Lenses, indicating product stagnation and lack of enhancements over time. #### What Are Recent G2 Reviews of Lenses? **"[Using Lenses for years, pros and cons](https://www.g2.com/survey_responses/lenses-review-11974835)"** **Rating:** 4.0/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/lenses-review-11974835) --- **"[Reliable tool for managing and searching data streams](https://www.g2.com/survey_responses/lenses-review-11971548)"** **Rating:** 4.5/5.0 stars *— Jose Manuel C.* [Read full review](https://www.g2.com/survey_responses/lenses-review-11971548) --- ### 14. [Secoda](https://www.g2.com/products/secoda/reviews) Secoda is an AI-powered data governance platform designed to help organizations explore, understand, and utilize their data effectively. By providing a comprehensive platform that connects to 75+ data sources, pipelines, warehouses, and visualization tools, Secoda aims to create a unified source of truth for businesses. This functionality is particularly valuable for organizations looking to enhance their self-serve analytics, streamline operations, and improve decision-making. Targeted at data teams, business stakeholders, and organizations of all sizes, Secoda serves as an essential tool for those who need to manage and interpret large volumes of data. Its user-friendly interface ensures that individuals with varying levels of technical expertise can leverage the platform to gain actionable insights. Companies such as Vanta, Cardinal Health, ID.me, and Dialpad have adopted Secoda to monitor the health of their data ecosystems, enhance the efficiency of their data teams, and scale AI readiness. One of Secoda’s core advantages is its ability to unify data cataloging, enterprise governance, and observability into a single, streamlined platform. This consolidation not only reduces the overhead of managing multiple tools but also powers Secoda AI with rich, connected context, enabling teams to focus on insights instead of infrastructure. Secoda automates key data management tasks including documentation, tagging, glossary term creation, and policy creation. This automation enables users to quickly discover and access relevant data and insights without extensive manual effort. By streamlining these processes, Secoda not only saves valuable time but also empowers teams to make confident, data-driven decisions based on current, well-organized information, ultimately driving better business outcomes. Overall, Secoda stands out in the data management landscape by offering a comprehensive, AI-driven solution that caters to the needs of both technical and non-technical users. Its ability to create a single source of truth, coupled with its integration of multiple functionalities into one platform, positions it as a valuable asset for organizations aiming to harness the full potential of their data. **Average Rating:** 4.5/5.0 **Total Reviews:** 55 **How Do G2 Users Rate Secoda?** - **Ease of Admin:** 9.2/10 (Category avg: 8.8/10) - **Anomaly identification:** 8.9/10 (Category avg: 8.8/10) - **Automation:** 8.9/10 (Category avg: 8.6/10) - **Integrations:** 10.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Secoda?** - **Seller:** [Secoda](https://www.g2.com/sellers/secoda) - **Year Founded:** 2021 - **HQ Location:** Toronto, CA - **Twitter:** @SecodaHQ (923 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/secodahq/about (19 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 65% Mid-Market, 18% Small-Business #### What Are Secoda's Pros and Cons? **Pros:** - Data Lineage (7 reviews) - Onboarding (7 reviews) - Integration Capabilities (6 reviews) - Learning (6 reviews) - Data Management (5 reviews) **Cons:** - Learning Difficulty (4 reviews) - Product Immaturity (4 reviews) - Improvement Needed (3 reviews) - Limited Functionality (3 reviews) - Performance Issues (3 reviews) ### What Do G2 Reviewers Say About Secoda? *AI-generated summary from verified user reviews* **Pros:** - Users value the **data lineage** feature of Secoda for enhancing metadata integration and facilitating easy discovery across teams. - Users appreciate the **self-serve onboarding** of Secoda, making it easy to empower teams with data governance. - Users value the **integration capabilities** of Secoda, seamlessly connecting to platforms like Looker Studio and Salesforce. - Users appreciate the **ease of use** of Secoda, making it accessible for both tech and non-tech users. - Users find the **data management features** in Secoda invaluable for knowledge sharing and simplifying data understanding. **Cons:** - Users find the **learning difficulty** with Secoda's settings and integrations frustrating, particularly for nontechnical team members. - Users note the **product immaturity** of Secoda, with bugs and missing features as challenges to their experience. - Users highlight the need for significant **improvement** in functionality and usability to derive real value from Secoda. - Users note the **limited functionality** of Secoda, stating it lacks essential features and struggles with usability. - Users experience **performance issues** with Secoda, facing syncing problems and minor bugs that hinder usability. #### What Are Recent G2 Reviews of Secoda? **"[Making real progress with metadata, lineage, documentation and AI use cases](https://www.g2.com/survey_responses/secoda-review-11392959)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/secoda-review-11392959) --- **"[Secoda offers great integration with Snowflake, dbt, Tableau for Data Cataloging and AI assistance](https://www.g2.com/survey_responses/secoda-review-11049626)"** **Rating:** 5.0/5.0 stars *— Surya Kant M.* [Read full review](https://www.g2.com/survey_responses/secoda-review-11049626) --- ### 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?** - **Ease of Admin:** 8.9/10 (Category avg: 8.8/10) - **Anomaly identification:** 10.0/10 (Category avg: 8.8/10) - **Integrations:** 10.0/10 (Category avg: 8.8/10) **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, rapidly implementing feedback and evolving the platform's features. - Users love the **ease of use** of Seemore Data, benefiting from quick feature implementations and excellent customer support. - Users value the **cost-effective solution** of Seemore Data, benefiting from significant savings and efficient features. - Users appreciate the **automation and visualization capabilities** of Seemore Data, significantly enhancing data management efficiency. - Users value the **responsive automation** of Seemore Data, enhancing functionality and reducing operational costs effectively. **Cons:** - Users find **lineage limitations** to be burdensome, complicating data sharing and real-time collaboration with colleagues. - Users find **data inaccuracy issues** in Seemore Data, affecting functionality and data governance negatively. - Users find the **data lineage issues** cumbersome, complicating real-time collaboration and report sharing among colleagues. - Users find the **data sharing process burdensome** , especially due to awkward manual exports and lack of governance features. - Users find the **user interface not intuitive** , making the helpful Lineage feature challenging to use effectively. #### What Are Recent G2 Reviews of Seemore Data? **"[Helpful End-to-End Data Visibility with Responsive Seemore Data Support](https://www.g2.com/survey_responses/seemore-data-review-12235103)"** **Rating:** 4.5/5.0 stars *— John H.* [Read full review](https://www.g2.com/survey_responses/seemore-data-review-12235103) --- **"[Strong cost savings and lineage, fast-moving product](https://www.g2.com/survey_responses/seemore-data-review-12329815)"** **Rating:** 5.0/5.0 stars *— Zach B.* [Read full review](https://www.g2.com/survey_responses/seemore-data-review-12329815) --- ### 16. [Ataccama ONE](https://www.g2.com/products/ataccama-one/reviews) Ataccama ONE is a data trust platform that helps organizations improve data quality, monitor data reliability, govern enterprise data assets, and prepare trusted data for analytics and AI initiatives. Designed for complex cloud, on-premises, and hybrid environments, the platform is used by data governance teams, data quality managers, data engineers, analytics teams, and AI programs that require accurate, governed, and auditable data. The platform combines data quality, data observability, data catalog, data lineage, and reference data management in a unified solution. Organizations use Ataccama ONE to identify and resolve data issues, support regulatory compliance, improve confidence in reporting and AI outputs, and streamline enterprise data management operations. The platform also includes the ONE AI Agent, which helps automate tasks such as metadata enrichment, anomaly detection, rule recommendations, and documentation workflows. Ataccama ONE supports use cases including AI readiness, cloud migration, data modernization, regulatory compliance, and data product development. It is used across industries such as financial services, insurance, telecommunications, healthcare, manufacturing, and energy, where trusted data is critical for operational and strategic decision-making. Key capabilities include: - Data quality and observability tools for profiling, validating, monitoring, and improving data across systems and pipelines - Data catalog and lineage capabilities that help users discover, understand, and trace data assets and transformations - Reference data management for maintaining standardized business values across applications and business units - AI-assisted automation through the ONE AI Agent to support rule creation, anomaly remediation recommendations, and metadata management - Connectivity to cloud platforms, databases, data warehouses, BI tools, and AI ecosystems through built-in connectors and MCP server support **Average Rating:** 4.2/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Ataccama ONE?** - **Ease of Admin:** 8.8/10 (Category avg: 8.8/10) **Who Is the Company Behind Ataccama ONE?** - **Seller:** [Ataccama](https://www.g2.com/sellers/ataccama) - **Company Website:** https://www.ataccama.com - **Year Founded:** 2007 - **HQ Location:** Toronto, Canada - **Twitter:** @ataccama (3,086 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ataccama (483 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Enterprise, 42% Small-Business #### What Are Ataccama ONE's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Customization (1 reviews) - Customization Options (1 reviews) - Ease of Use (1 reviews) - User Interface (1 reviews) **Cons:** - Complexity (1 reviews) - Difficult Learning (1 reviews) - Difficulty Learning (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About Ataccama ONE? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **responsive customer support** of Ataccama ONE, enhancing their overall experience with the product. - Users appreciate the **customizable interface** of Ataccama ONE, enhancing their overall experience with tailored functionalities. - Users appreciate the **customizable interface** of Ataccama ONE, which enhances their overall user experience. - Users appreciate the **ease of use** of Ataccama ONE, finding its UI intuitive and customizable. - Users appreciate the **easy-to-use and customizable UI** of Ataccama ONE, enhancing their overall experience and satisfaction. **Cons:** - Users find Ataccama ONE **very complicated** , indicating a steep learning curve is necessary for effective use. - Users find Ataccama ONE to have a **difficult learning curve** that hinders effective use of its features. - Users find the **difficulty learning** Ataccama ONE due to its complicated desktop interface and lack of guidance. - Users find Ataccama ONE's interface **very complicated** , indicating a steep learning curve for effective usage. - Users find Ataccama ONE has a **learning difficulty** , making it complicated to master the desktop experience. #### What Are Recent G2 Reviews of Ataccama ONE? **"[Powerful Data Quality Checks with Room for Improvement](https://www.g2.com/survey_responses/ataccama-one-review-12848802)"** **Rating:** 4.5/5.0 stars *— Siva M.* [Read full review](https://www.g2.com/survey_responses/ataccama-one-review-12848802) --- **"[Data Quality Tool for Business Users](https://www.g2.com/survey_responses/ataccama-one-review-10444033)"** **Rating:** 5.0/5.0 stars *— Karthika S.* [Read full review](https://www.g2.com/survey_responses/ataccama-one-review-10444033) --- ### 17. [Dagster](https://www.g2.com/products/dagster/reviews) Ship data pipelines with extraordinary velocity. Dagster is the cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Dagster?** - **Seller:** [Dagster Labs](https://www.g2.com/sellers/dagster-labs) - **Year Founded:** 2018 - **HQ Location:** San Francisco ,California ,United States - **LinkedIn® Page:** https://www.linkedin.com/company/dagsterlabs/ (92 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Dagster's Pros and Cons? **Pros:** - Analytics (2 reviews) - Ease of Use (2 reviews) - Features (2 reviews) - Flexibility (2 reviews) - Data Engineering (1 reviews) **Cons:** - Difficult Learning (2 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) - Steep Learning Curve (2 reviews) - Complex Setup (1 reviews) ### What Do G2 Reviewers Say About Dagster? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **robust analytics capabilities** of Dagster, highlighting its reliability and transparency in data orchestration. - Users highlight the **ease of use** of Dagster, noting its intuitive design and reduced complexity for data orchestration. - Users value the **asset-centric approach** of Dagster, enhancing reliability and transparency in data orchestration. - Users value the **flexibility** of Dagster, appreciating its asset-centric approach to diverse data engineering use cases. - Users admire the **sophisticated and modern tool** that fits nearly all data engineering use cases effectively. **Cons:** - Users find the **difficult learning** process challenging, complicating initial adoption and hindering usability for smaller teams. - Users find the **steep learning curve** of Dagster challenging, hindering smooth adoption and initial usage. - Users find the **steep learning difficulty** of Dagster challenging, complicating adoption for smaller teams. - Users find Dagster's **steep learning curve** challenging, especially during initial setup and integration into workflows. - Users find the **complex setup** of Dagster challenging, complicating adoption and overwhelming smaller teams. #### What Are Recent G2 Reviews of Dagster? **"[Dagster: Review](https://www.g2.com/survey_responses/dagster-review-12205767)"** **Rating:** 4.0/5.0 stars *— Aarsh B.* [Read full review](https://www.g2.com/survey_responses/dagster-review-12205767) --- **"[Much more advanced and modern alternative to Apache Airflow](https://www.g2.com/survey_responses/dagster-review-11304116)"** **Rating:** 5.0/5.0 stars *— Kelvin Ngoc Nguyen L.* [Read full review](https://www.g2.com/survey_responses/dagster-review-11304116) --- ### 18. [Konstellation](https://www.g2.com/products/konstellation/reviews) Konstellation is a data observability tool. Konstellation observes the scoped data sets, identifies anomalies, and prioritizes incidents. Fix What Matters is a fully automated approach to detecting data issues at scale, identifying their root cause, and serving as a prioritized list of incidents based on their impact on the business. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Konstellation?** - **Anomaly identification:** 10.0/10 (Category avg: 8.8/10) - **Automation:** 10.0/10 (Category avg: 8.6/10) - **Integrations:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Konstellation?** - **Seller:** [Konstellation Data](https://www.g2.com/sellers/konstellation-data) - **Year Founded:** 2024 - **HQ Location:** Los Angeles, US - **LinkedIn® Page:** https://www.linkedin.com/company/konstellation-data/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Konstellation? **"[Observability Done Right](https://www.g2.com/survey_responses/konstellation-review-9939892)"** **Rating:** 5.0/5.0 stars *— William S.* [Read full review](https://www.g2.com/survey_responses/konstellation-review-9939892) --- ### 19. [Scikiq: Comprehensive Data Management Platform](https://www.g2.com/products/scikiq-comprehensive-data-management-platform/reviews) SCIKIQ help make AI possible for enterprises. SCIKIQ brings together everything an enterprise needs to scale AI, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents, all in one platform. SCIKIQ brings Data Hub, a Unified Data Layer, a foundational architecture that creates a single version of truth across all data sources, departments, and use cases within the enterprise. SCIKIQ Data Hub brings Data integration, Processing and Curation, Data Governance and Data Visualisation all in one platform. It also brings Gen AI studio, Agentic AI and Auto ML studio for your AI Initiatives. Our Conversation (Self Service) Analytics, prompt to process (data analytics, Dashboards, Agents, insights & products) AI Co-pilot is among the best in the world Recognized by Forrester as top 34 AI enabled platform in the world, By NASSCOM in top 10 in Deep Tech club and By YourStory and Inc Media in Top 30 companies to watch. Selected by AWS to showcase at MWC and AWS re:Invent **Average Rating:** 4.6/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Scikiq: Comprehensive Data Management Platform?** - **Ease of Admin:** 9.2/10 (Category avg: 8.8/10) **Who Is the Company Behind Scikiq: Comprehensive Data Management Platform?** - **Seller:** [SCIKIQ](https://www.g2.com/sellers/scikiq) - **Company Website:** https://www.scikiq.com/ - **Year Founded:** 2023 - **HQ Location:** Gurgaon - **Twitter:** @scikiq (9 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/SCIKIQ (38 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 36% Small-Business, 36% Enterprise #### What Are Scikiq: Comprehensive Data Management Platform's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Data Management (3 reviews) - Functionality (3 reviews) - Data Integration (2 reviews) - Easy Setup (2 reviews) **Cons:** - Complexity Issues (2 reviews) - Complexity (1 reviews) - Data Management (1 reviews) - Expensive (1 reviews) - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About Scikiq: Comprehensive Data Management Platform? *AI-generated summary from verified user reviews* **Pros:** - Users emphasize the **ease of use** of Scikiq, appreciating its intuitive design and straightforward functionality. - Users value the **seamless data integration and governance** features of Scikiq for effective data management across organizations. - Users admire the **seamless data integration** of Scikiq, enabling efficient management of complex workflows effortlessly. - Users value the **seamless data integration** capabilities of Scikiq, enhancing their data management and workflow efficiency. - Users love the **easy setup** of Scikiq, thanks to its intuitive interface and drag-and-drop functionality. **Cons:** - Users find the **complex implementation** of Scikiq frustrating, especially when integrating with various platforms. - Users find that some features of Scikiq can be **complex** , making it challenging to navigate and utilize effectively. - Users find the **complex implementation** of Scikiq's data management challenging and time-consuming for effective utilization. - Users find Scikiq to be **too expensive** , suggesting it should align better with similar software pricing. - Users find the **integration issues** with certain platforms frustrating, adding complexity to their experience with Scikiq. #### What Are Recent G2 Reviews of Scikiq: Comprehensive Data Management Platform? **"[Great Platform to Manage Data](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11101797)"** **Rating:** 5.0/5.0 stars *— Sualeh N.* [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11101797) --- **"[A Powerful No-Code Platform for Unified Data Management and AI-Driven Insights](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11102013)"** **Rating:** 5.0/5.0 stars *— Mohammad Talha S.* [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-11102013) --- ### 20. [Apica](https://www.g2.com/products/apica-apica/reviews) Apica provides agentic-ready infrastructure purpose-built for the AI era. Apica helps enterprises take control of exploding telemetry volumes by providing the pipeline control, metrics foundation, and data readiness that AI agents demand, at up to 40% lower total cost of ownership than legacy observability platforms. Unlike platform-centric solutions that ingest everything indiscriminately and charge at every step, Apica's pipeline-first architecture processes, enriches, and governs telemetry before costly platform ingestion, giving enterprises clean, governed, real-time data without vendor lock-in. Apica Ascent, the only complete telemetry data management product suite purpose-built for agentic AI environments, serves global enterprises across financial services, healthcare, retail, telecommunications, and technology sectors. Recognized as a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms. Learn more at www.apica.io or visit docs.apica.io. **Average Rating:** 4.2/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Apica?** - **Ease of Admin:** 6.7/10 (Category avg: 8.8/10) **Who Is the Company Behind Apica?** - **Seller:** [Apica](https://www.g2.com/sellers/apica) - **Year Founded:** 2005 - **HQ Location:** Stockholm, SE - **LinkedIn® Page:** https://www.linkedin.com/company/apica-ab/ (83 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Mid-Market, 33% Enterprise #### What Are Apica's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Real-time Monitoring (3 reviews) - Data Analysis (2 reviews) - Easy Setup (2 reviews) - Issue Detection (2 reviews) **Cons:** - Limited Features (2 reviews) - Missing Features (2 reviews) - Complex Setup (1 reviews) - Cost Issues (1 reviews) - Difficult Customization (1 reviews) ### What Do G2 Reviewers Say About Apica? *AI-generated summary from verified user reviews* **Pros:** - Users find Apica easy to use, enabling effortless testing with a **user-friendly interface** for all skill levels. - Users value the **real-time monitoring** capabilities of Apica, enabling proactive management of web application performance. - Users highlight the **real-time data analysis** capabilities of Apica, enabling effective identification of system opportunities and issues. - Users find Apica's **easy setup** beneficial, seamlessly integrating into their existing systems without technical hassles. - Users find **issue detection** effective with Circonus, leveraging real-time analytics to identify opportunities and system problems. **Cons:** - Users express concern over **limited features** in Apica, wishing for broader functionality during trials and usage. - Users find **missing features** in Circonus, wishing for a more comprehensive trial experience to better evaluate the tool. - Users find the **complex setup** of Apica time-consuming, requiring significant effort to customize for their needs. - Users consider the **high pricing scheme** of Apica a potential drawback, especially for smaller firms with tight budgets. - Users find the **difficult customization** process of Apica time-consuming, impacting readiness for production use. #### What Are Recent G2 Reviews of Apica? **"[Need to start monitoring?](https://www.g2.com/survey_responses/apica-review-8765673)"** **Rating:** 4.0/5.0 stars *— Mrinal C.* [Read full review](https://www.g2.com/survey_responses/apica-review-8765673) --- **"[Circonus: Infrastructure Monitoring without the Hardware Hassle](https://www.g2.com/survey_responses/apica-review-8783911)"** **Rating:** 5.0/5.0 stars *— Desmond C.* [Read full review](https://www.g2.com/survey_responses/apica-review-8783911) --- #### What Are G2 Users Discussing About Apica? - [What is Circonus used for?](https://www.g2.com/discussions/what-is-circonus-used-for) ### 21. [Asserts.ai](https://www.g2.com/products/asserts-ai/reviews) Asserts automatically analyses metric and trace metadata to build a graph database of application component relationships over time. **Who Is the Company Behind Asserts.ai?** - **Seller:** [Asserts.ai](https://www.g2.com/sellers/asserts-ai) - **HQ Location:** San Ramon, US - **Twitter:** @assertsai (39 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/asserts/ (1 employees on LinkedIn®) ### 22. [Blast](https://www.g2.com/products/datablast-blast/reviews) A data platform that bundles critical data functionalities including data orchestration, quality checks, comprehensive documentation, and observability. This platform empowers users to efficiently extract, transform, and interpret data from various sources. It enables the orchestration of these processes with customizable frequency, ensuring data integrity and complete control over the data journey. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Blast?** - **Seller:** [Datablast](https://www.g2.com/sellers/datablast) - **Year Founded:** 2021 - **HQ Location:** İstanbul - **Twitter:** @Datablast_io (1 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datablastcompany (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Blast? **"[Effective, easy to use and great UI.](https://www.g2.com/survey_responses/blast-review-9214982)"** **Rating:** 5.0/5.0 stars *— Cihan B.* [Read full review](https://www.g2.com/survey_responses/blast-review-9214982) --- ### 23. [Code-Cube.io](https://www.g2.com/products/code-cube-io/reviews) Code-Cube.io is a marketing data observability platform that prevents broken tracking from skewing insights or impacting website- and campaign performance. The platform continuously monitors your entire data collection pipeline, from the dataLayer to tag managers and marketing tags. Code-Cube.io sends real-time alerts when issues occur. AI-powered anomaly detection identifies unusual behavior, inactivity, and tag errors across all users, browsers, and devices, before they affect reporting or decision-making. The Tag Monitor module automatically detects broken, missing, or misfiring tags and the DataLayer Guard module monitors all dataLayer events, including pageviews, enhanced ecommerce, form submissions, and custom events. Code-Cube.io helps marketing, analytics, and ecommerce teams maintain reliable data, reduce manual QA, and confidently scale their tracking setup. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Code-Cube.io?** - **Ease of Admin:** 10.0/10 (Category avg: 8.8/10) **Who Is the Company Behind Code-Cube.io?** - **Seller:** [Code Cube](https://www.g2.com/sellers/code-cube) - **Year Founded:** 2022 - **HQ Location:** Utrecht, NL - **LinkedIn® Page:** https://www.linkedin.com/company/codecube-io/ (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Code-Cube.io's Pros and Cons? **Pros:** - Anomaly Detection (1 reviews) - Automation (1 reviews) - Data Reliability (1 reviews) - Ease of Use (1 reviews) - Flexibility (1 reviews) **Cons:** - Complex Setup (1 reviews) - Performance Issues (1 reviews) ### What Do G2 Reviewers Say About Code-Cube.io? *AI-generated summary from verified user reviews* **Pros:** - Users value the **real-time monitoring and instant issue detection** of Code-Cube.io, enhancing data accuracy and reliability. - Users value the **automation** of Code-Cube.io, ensuring continuous data validation and instant issue detection for peace of mind. - Users value the **real-time monitoring** of Code-Cube.io, ensuring constant data reliability and automated issue detection. - Users appreciate the **ease of management** in Code-Cube.io, enjoying its flexibility and responsive support from the team. - Users value the **flexibility** of Code-Cube.io, appreciating its ease of management and responsive support team. **Cons:** - Users find the **complex setup** process cumbersome due to a lack of responsiveness, complicating edits and testing scenarios. - Users report **performance issues** with responsiveness, which hinder editing configurations and testing scenarios efficiently. #### What Are Recent G2 Reviews of Code-Cube.io? **"[Game-Changer for Data Accuracy & Real-Time Monitoring!](https://www.g2.com/survey_responses/code-cube-io-review-10804477)"** **Rating:** 5.0/5.0 stars *— Danny d.* [Read full review](https://www.g2.com/survey_responses/code-cube-io-review-10804477) --- **"[Saving lots of time (no more manual checks and easy debugging)](https://www.g2.com/survey_responses/code-cube-io-review-10957413)"** **Rating:** 4.5/5.0 stars *— Feiko B.* [Read full review](https://www.g2.com/survey_responses/code-cube-io-review-10957413) --- ### 24. [CrossCheck](https://www.g2.com/products/crosscheck/reviews) BornTec’s CrossCheck is a platform that empowers business users by consolidating execution data into a single, unified view, unlocking value and insights. Centralizing and harmonizing diverse data sets for easier access enables real-time risk management, surveillance, and regulatory reporting. CrossCheck streamlines operations, reduces reliance on IT, and fosters proactive risk mitigation—all while supporting scalable growth. Trusted by top-tier FCMs, brokers, and banks, CrossCheck ensures that businesses operate efficiently, comply with regulatory demands, and maximize the value of their data. **Who Is the Company Behind CrossCheck?** - **Seller:** [BornTec](https://www.g2.com/sellers/borntec) - **Year Founded:** 2002 - **HQ Location:** Chicago, US - **LinkedIn® Page:** https://www.linkedin.com/company/borntec/ (18 employees on LinkedIn®) ### 25. [DataTrust](https://www.g2.com/products/datatrust/reviews) DataTrust by RightData is an enterprise data quality and observability platform that automates data validation, reconciliation, profiling and monitoring. It helps organizations ensure trusted, accurate, and reliable data across cloud and hybrid environments. The platform offers end-to-end data quality assurance across databases, data warehouses, data lakes, ETL pipelines and analytics platforms, enabling automated testing, schema validation and reconciliation to maintain consistency during migrations and transformations. Continuous monitoring and alerting detect anomalies and ensure data integrity (supporting audit and compliance), and integration with CI/CD pipelines accelerates testing cycles. DataTrust is designed for enterprise-scale use by data and analytics teams, delivering trusted, “ready-to-use” data products and reducing risk in reporting and BI initiatives. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate DataTrust?** - **Ease of Admin:** 9.0/10 (Category avg: 8.8/10) **Who Is the Company Behind DataTrust?** - **Seller:** [RightData](https://www.g2.com/sellers/rightdata) - **Year Founded:** 2016 - **HQ Location:** Atlanta, US - **Twitter:** @GetRightData (121 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/getrightdata (87 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 38% Enterprise, 31% Mid-Market #### What Are DataTrust's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Time-saving (2 reviews) - User Interface (2 reviews) - Bug Detection (1 reviews) - Customer Support (1 reviews) **Cons:** - Performance Issues (2 reviews) - Slow Performance (2 reviews) - Bug Issues (1 reviews) - Complex Setup (1 reviews) - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About DataTrust? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** of DataTrust, emphasizing its intuitive interface and quick learning curve. - Users value the **time-saving capabilities** of DataTrust, enabling faster and accurate reconciliation across multiple systems. - Users appreciate the **user-friendly interface** of DataTrust, facilitating quick learning and effective data management. - Users commend DataTrust for its **efficient bug detection** , enabling rapid issue resolution and enhanced testing productivity. - Users appreciate the **responsive customer support** of DataTrust, ensuring swift resolutions and continuous enhancements based on feedback. **Cons:** - Users report **performance issues** when processing large datasets, with slowdowns and occasional bugs affecting usability. - Users experience **slow performance** when processing large datasets, often needing manual intervention for complex data types. - Users report **occasional performance and caching issues** alongside minor bugs when integrating with the CICD tool. - Users report **complex setup** challenges with DataTrust, especially when dealing with large datasets and data types like XML. - Users face **integration issues** with DataTrust, causing performance and caching problems with their CICD tool. #### What Are Recent G2 Reviews of DataTrust? **"[Streamlining Data validation process in a Project using RightData Automation tool.](https://www.g2.com/survey_responses/datatrust-review-11312633)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Services* [Read full review](https://www.g2.com/survey_responses/datatrust-review-11312633) --- **"[Great client to work with](https://www.g2.com/survey_responses/datatrust-review-10644644)"** **Rating:** 4.5/5.0 stars *— Tom L.* [Read full review](https://www.g2.com/survey_responses/datatrust-review-10644644) --- #### What Are G2 Users Discussing About DataTrust? - [What is RightData used for?](https://www.g2.com/discussions/what-is-rightdata-used-for) ## What Is Data Observability Software? [IT Management Software](https://www.g2.com/categories/it-management) ## What Software Categories Are Similar to Data Observability Software? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [Database Monitoring Tools](https://www.g2.com/categories/database-monitoring) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) --- ## How Do You Choose the Right Data Observability Software? ### What You Should Know About Data Observability Software ### Data Observability Software FAQs ### What’s the most recommended customer success platform for SaaS companies? For software teams prioritizing data accuracy, operational visibility, and rapid issue resolution, top data observability platforms on G2 include: - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) focuses exclusively on data observability, providing automated monitoring, anomaly detection, and data lineage to help teams catch and resolve data issues before they impact users. - [Metaplane](https://www.g2.com/products/metaplane/reviews) delivers end-to-end data observability with features like schema change detection, freshness monitoring, and anomaly detection, enabling teams to maintain data quality effectively. - [Acceldata](https://www.g2.com/products/acceldata/reviews) combines data quality monitoring, pipeline performance, and infrastructure health insights in one platform, helping software companies ensure their data operations run smoothly at scale. ### What’s the best data observability software for small businesses? For small businesses aiming to maintain data quality, monitor pipelines, and catch issues early without complex setup, [leading small business data observability solutions](https://www.g2.com/categories/data-observability/small-business) include: - [Bigeye](https://www.g2.com/products/bigeye/reviews) combines automated anomaly detection and root cause analysis in a platform that makes data reliability accessible without requiring deep technical resources, which is great for scaling teams. - [IBM Databand](https://www.g2.com/products/ibm-databand/reviews) delivers proactive monitoring and automated alerts while integrating easily with existing data pipelines, making it approachable for growing businesses with limited engineering support. - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) offers a powerful but flexible solution with automated monitoring, data lineage, and incident resolution features. Although enterprise-ready, it also provides packages suitable for fast-growing small companies. --- ## What Are the Most Common Questions About Data Observability Software? *AI-generated · Last updated: June 3, 2026* ### Which Data Observability solutions avoid alert fatigue and false positives with strong user support and documentation Based on G2 reviews, these products are most often associated with lower-noise alerting, responsive support, and usable documentation. - [Monte Carlo](https://www.g2.com/products/monte-carlo) — anomaly detection with alert tuning. - [Sifflet](https://www.g2.com/products/sifflet) — trend-based alerts with triage focus. - [DQLabs](https://www.g2.com/products/dqlabs) — smart alerts with documentation support. - [Telmai](https://www.g2.com/products/telmai) — proactive monitoring with helpful support. ### Best Data Observability platforms for data engineers managing system performance monitoring for teams implementing efficient solution management Based on G2 reviews, these products stand out for centralized monitoring, faster troubleshooting, and support for day-to-day data operations. - [Monte Carlo](https://www.g2.com/products/monte-carlo) — centralized monitoring across pipelines. - [Acceldata](https://www.g2.com/products/acceldata) — pipeline health and operational visibility. - [Sifflet](https://www.g2.com/products/sifflet) — issue triage with lineage context. - [DQLabs](https://www.g2.com/products/dqlabs) — unified observability for data teams. ### Data Observability platforms that deliver ROI within the first quarter for mid-market companies According to verified users, early value usually comes from reducing manual checks, surfacing anomalies before stakeholders notice, and shortening investigation time. Reviews repeatedly describe faster detection of freshness, schema, volume, and pipeline issues, along with less reactive debugging and more confidence in reports and dashboards. Teams also mention quicker onboarding, out-of-the-box monitors, and easier centralization of alerts as reasons value appears early. In this category, buyers looking for near-term ROI should focus on products that help establish proactive monitoring quickly, fit existing workflows, and make issue ownership clearer so data teams spend less time chasing incidents and more time improving reliability. ### What are the most important features in data observability platforms G2 reviewers mention that the most important features in data observability platforms are anomaly detection, alerting, data lineage, freshness monitoring, schema and volume checks, and workflow integrations. Buyers also consistently value dashboards that make incident triage easier, plus flexible monitor setup for both simple and advanced use cases. Recent reviews show strong interest in root cause analysis, support for custom rules or SQL-based checks, and integrations with tools such as Slack, PagerDuty, Jira, orchestration tools, warehouses, and BI systems. Teams also care about ease of setup, usable documentation, and enough customization to tune alerts so they can reduce noise while still catching meaningful issues early. ### How does Data Observability integrate with Slack According to verified users, Slack is commonly used as the first place teams receive and coordinate around data alerts. Recent reviews describe integrations that route anomaly notifications into shared channels, helping analysts, engineers, and business stakeholders see issues quickly without living inside the observability platform all day. Buyers value this because it speeds triage, makes ownership clearer, and reduces back-and-forth when incidents affect downstream reports or pipelines. Some reviewers also highlight the benefit of alert lifecycle actions and cross-team collaboration from Slack, though a few mention wanting deeper in-channel tuning or richer controls. Overall, Slack integration is most useful when it turns monitoring into a shared operational workflow.