Best Data Observability Software - Page 3

How Many Data Observability Software Products Does G2 Track?

Total Products under this Category: 75

Category Stats (Sep 2026)

  • Average Rating: 4.54/5 (↓0.02 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Monte Carlo (+0.12%) - Among all products in this category, Monte Carlo recorded the largest rating increase compared to last month

Last updated: September 30, 2026

How Does G2 Rank Data Observability Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,500+ Authentic Reviews
  • 75+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Observability Software

G2 Grid® for Data Observability Software plotting products by satisfaction and market presence

Highlighted products: Monte Carlo, Metaplane, Dash0, DQLabs, Rakuten SixthSense Data Observability, SquaredUp, Matia, and Coalesce Quality.

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=matia&focus%5B%5D=coalesce-coalesce-quality)

Integrate.io

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: 4.4/5.0

Total Reviews: 212

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
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @Integrateio
    4,285 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    26 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% Medium, 32% Small

What Do G2 Reviewers Say About Integrate.io?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Integrate.io, benefiting from its intuitive interface and fast workflow design.
  • Users praise the exceptional customer support of Integrate.io for its quick responses and knowledgeable assistance.
  • Users value the easy integrations with diverse data sources, simplifying their data workflow and enhancing productivity.
  • Users value the comprehensive connectors and intuitive UI of Integrate.io, enhancing data integration and workflow efficiency.
  • Users value the automation features of Integrate.io, which enhance workflow efficiency and streamline data processes.
Cons
  • Users note a learning difficulty with advanced features, requiring extra documentation and tutorials for effective use.
  • Users feel that poor documentation hinders their ability to fully utilize Integrate.io's features and APIs effectively.
  • Users point out the limited integrations with external sources, hindering seamless connectivity and customization options.
  • Users struggle with poor API documentation, hindering their ability to effectively integrate and utilize the platform's features.
  • Users note the lack of comprehensive API documentation, making integration challenging and limiting development flexibility.

What Are Recent G2 Reviews of Integrate.io?

What Are G2 Users Discussing About Integrate.io?

SelectZero

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
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Estonia
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 62% Medium, 23% Large

What Do G2 Reviewers Say About SelectZero?

AI-generated summary from verified user reviews

Pros
  • Users praise the fast and friendly customer support of SelectZero, always ready to assist with any issues.
  • Users commend the ease of use of SelectZero, praising its intuitive design and fast, responsive support.
  • Users value the intuitive and comprehensive features of SelectZero, enhancing data governance effortlessly across organizations.
  • Users value the intuitive user interface and responsive support of SelectZero, enhancing overall productivity and experience.
  • Users commend efficiency improvements from SelectZero, enhancing data management workflows and facilitating smooth integration across teams.
Cons
  • Users find the user interface not intuitive initially, expecting improvements in layout and overall design over time.
  • Users note significant limitations in notification options, resulting in restricted information conveyed in alerts.
  • Users desire greater customization options for test suite reports and business glossaries in SelectZero.
  • Users note the limited functionality of SelectZero's notifications, highlighting a need for expanded features in the future.
  • Users find the user interface challenging initially, requiring time to adapt and learn its layout effectively.

What Are Recent G2 Reviews of SelectZero?

Kensu

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
  • Year Founded: 2018
  • HQ Location: San Francisco Bay Area, US
  • Twitter: @kensuio
    253 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 40% Small

What Are Recent G2 Reviews of Kensu?

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Astro by Astronomer

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
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • Twitter: @astronomerio
    19,697 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,513 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% Medium, 38% Large

What Do G2 Reviewers Say About Astro by Astronomer?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Astro, finding it intuitive and effective for managing complex workflows.
  • Users appreciate the efficiency improvements of Astro, simplifying workflows and reducing the need for dedicated DevOps resources.
  • Users appreciate the intuitive user interface of Astro, facilitating easy monitoring and management of complex workflows.
  • Users appreciate the automation capabilities of Astro by Astronomer, streamlining workflows and enhancing data orchestration.
  • Users value the deployment ease of Astro by Astronomer, enhancing productivity with simple, reliable, and efficient setups.
Cons
  • Users highlight that Astro by Astronomer can be quite expensive, posing challenges for smaller teams and budget constraints.
  • Users note a steep learning curve with Astro, requiring significant time for adaptation and training.
  • Users find the steep learning curve of Astro challenging, requiring extra time for new team members to adapt.
  • Users note a steep learning curve with Astro, making adaptation challenging for new team members.
  • Users note the feature limitations of Astro, citing high costs and lack of flexibility compared to self-hosting.

What Are Recent G2 Reviews of Astro by Astronomer?

What Are G2 Users Discussing About Astro by Astronomer?

Datagaps DataOps Suite

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

Average Rating: 4.5/5.0

Total Reviews: 10

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: 8.8/10 (Category avg: 8.6/10)
  • Integrations: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Datagaps DataOps Suite?

  • Seller: Datagaps
  • Year Founded: 2010
  • HQ Location: Herndon, US
  • Twitter: @datagaps
    49 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    123 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Large, 18% Medium

What Do G2 Reviewers Say About Datagaps DataOps Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use and implementation of Datagaps DataOps Suite, making it accessible for all experience levels.
  • Users appreciate the automation capabilities of Datagaps DataOps Suite, enhancing data quality and operational efficiency.
  • Users value the improved data quality from Datagaps DataOps Suite, enhancing analytics and supporting data-driven decisions.
  • Users value the easy integrations in Datagaps DataOps Suite, enhancing flexibility and streamlining data processing across platforms.
  • Users appreciate the extensive features of Datagaps DataOps Suite, enhancing flexibility and ease of use in data management.
Cons
  • Users find the initial setup complex, which can be time-consuming, but value the ongoing benefits after configuration.
  • Users face dependency issues as the lack of automated job cleanup complicates workflow efficiency and data management.
  • Users find the difficult setup process of Datagaps DataOps Suite time-consuming, despite its effective performance afterwards.
  • Users find the lack of automation frustrating, requiring manual cleanup of long-running jobs, impacting efficiency.
  • Users face a significant learning curve when transitioning to DataOps, especially with the shift from manual to automated processes.

What Are Recent G2 Reviews of Datagaps DataOps Suite?

OpsPilot

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
  • Company Website:
  • Year Founded: 1998
  • HQ Location: Böblingen, DE
  • Twitter: @Fusion_Reactor
    9,345 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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, 29% Medium

What Do G2 Reviewers Say About OpsPilot?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of OpsPilot, facilitating quick access to crucial metrics and troubleshooting insights.
  • Users find the real-time web metrics invaluable, enabling quick insights and identification of performance issues in their applications.
  • Users appreciate the real-time visibility and detailed insights provided by FusionReactor APM for effective monitoring.
  • Users value the real-time monitoring of OpsPilot, enabling effective performance management and quick issue resolution.
  • Users praise the responsive and friendly customer support of OpsPilot, making troubleshooting and assistance seamless.
Cons
  • Users find the learning curve challenging, as advanced features require careful configuration and can be overwhelming.
  • Users face difficult configuration challenges, leading to confusion and potentially missing out on important insights.
  • Users find the learning difficulty of OpsPilot challenging initially, requiring some research before effective use.
  • Users find the UI confusing, especially the Cloud version, despite ongoing improvements for clarity and usability.
  • Users find the UI design confusing, noting that it can complicate the initial experience with OpsPilot.

What Are Recent G2 Reviews of OpsPilot?

What Are G2 Users Discussing About OpsPilot?

Datorios

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
  • Year Founded: 2020
  • HQ Location: Palo Alto, California
  • Twitter: @datorios
    37 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Medium, 50% Small

What Are Recent G2 Reviews of Datorios?

Ascend.io

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
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Palo Alto, California, United States
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Small, 11% Medium

What Do G2 Reviewers Say About Ascend.io?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Ascend.io, finding it simplifies complex data workflows and boosts efficiency.
  • Users praise Ascend.io for its powerful automation capabilities, drastically reducing time spent on repetitive tasks.
  • Users are impressed by the efficiency improvement Ascend.io brings, enabling swift pipeline creation and streamlined workflows.
  • Users value the flexibility of Ascend.io, enabling efficient and dynamic solutions for data pipeline challenges.
  • Users highlight the solution efficiency of Ascend.io, significantly reducing time spent on data pipeline management and automation.
Cons
  • Users face a difficult learning curve due to the shift in mindset required for Ascend.io's automation engine.
  • Users face a significant learning curve transitioning to Ascend.io's declarative model, requiring time and exploration for mastery.
  • Users face a steep learning curve with Ascend.io, particularly in adapting to its declarative mindset and features.
  • Users note the limited features of Ascend.io, particularly in model selection and documentation complexity.
  • Users face a steep learning curve in transitioning to a declarative mindset and mastering platform features effectively.

What Are Recent G2 Reviews of Ascend.io?

Lenses

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
  • Company Website:
  • Year Founded: 2016
  • HQ Location: London, England
  • Twitter: @lensesio
    732 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Medium

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 simplifies data visualization and stream management.
  • Users appreciate the simple and effective user interface of Lenses, making navigation and work enjoyable.
  • Users value the user-friendly interface of Lenses, appreciating its clear visualization and SQL querying for Kafka resources.
  • Users appreciate the intuitive design of Lenses, enhancing their productivity and making Kafka more accessible.
  • Users appreciate the dependable data management of Lenses, finding it simple and effective for their workflow.
Cons
  • Users are concerned about feature limitations leading to potential vendor lock-in and limited future flexibility.
  • Users express concern over the risk of vendor lock-in and stagnant development, limiting future flexibility and improvements.
  • Users feel that limited access to features leads to vendor lock-in, affecting flexibility and future interoperability.
  • Users find Lenses lacking essential features and improvements, resulting in a stagnant user experience over the years.
  • Users express concern over the product maturity of Lenses, citing unresolved bugs and a lack of documentation and innovation.

What Are Recent G2 Reviews of Lenses?

Secoda

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
  • Year Founded: 2021
  • HQ Location: Toronto, CA
  • Twitter: @SecodaHQ
    923 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 65% Medium, 18% Small

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 improving asset discovery across teams.
  • Users praise Secoda's easy onboarding and self-serve nature, enhancing data governance and user empowerment from day one.
  • Users value the integration capabilities of Secoda, seamlessly connecting with numerous platforms for enhanced data management.
  • Users appreciate the ease of learning with Secoda, noting its intuitive design and supportive resources for all users.
  • Users praise the helpful data lineage and questions features of Secoda for enhancing knowledge sharing and understanding.
Cons
  • Users find the learning difficulty with integrations and team systems to be a frustrating barrier to effective usage.
  • Users note that Secoda has product immaturity, with occasional bugs and a lack of some essential features.
  • Users express concerns over improvement needed for filtering assets, AI model descriptions, and overall user experience in Secoda.
  • Users find Secoda has limited functionality with an overwhelming interface and insufficient support for essential features.
  • Users report performance issues in Secoda, including syncing delays and frequent bugs affecting functionality and user experience.

What Are Recent G2 Reviews of Secoda?

Seemore Data

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?

Who Uses This Product?

  • Company Size: 62% Medium, 23% Small

What Do G2 Reviewers Say About Seemore Data?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Seemore Data, highlighting its intuitive design and helpful customer support.
  • Users appreciate the intuitive user interface of Seemore Data, which simplifies data visualization and management.
  • Users appreciate the advanced data lineage capabilities of Seemore Data, simplifying tracking and management efforts.
  • Users appreciate the responsive customer support of Seemore Data, quickly addressing feedback and enhancing the platform effectively.
  • Users appreciate the end-to-end data management of Seemore Data, enhancing efficiency and automating critical processes.
Cons
  • Users find the lineage limitations burdensome, complicating real-time collaboration and making usage less intuitive.
  • Users find the navigation confusing, with complex menus hindering quick access to settings and features.
  • Users face data management issues with Seemore Data, struggling with integration and cumbersome reporting processes for collaboration.
  • Users find the navigation confusing, which complicates their experience and slows down day-to-day workflows.
  • Users report significant data inaccuracy issues with Seemore Data, affecting trust in analytics and decision-making.

What Are Recent G2 Reviews of Seemore Data?

DataBuck

DataBuck is an enterprise data quality platform that leverages context-aware AI to discover data quality rules and detect hard-to-find data errors. Designed for large-volume, cross-platform environments, DataBuck supports reconciliation, data quality validation, and observability at scale, delivering up to 70% productivity savings, 9x faster timelines, and 90% data risk reduction.

Average Rating: 3.8/5.0

Total Reviews: 3

How Do G2 Users Rate DataBuck?

  • Ease of Admin: 5.0/10 (Category avg: 8.8/10)
  • Anomaly identification: 10.0/10 (Category avg: 8.8/10)

Who Is the Company Behind DataBuck?

  • Seller: FirstEigen
  • Year Founded: 2015
  • HQ Location: Naperville, US
  • Twitter: @FirstEigen
  • LinkedIn® Page: www.linkedin.com
    35 employees on LinkedIn®
  • Ownership: Set Rao

Who Uses This Product?

  • Company Size: 80% Medium, 20% Small

What Are Recent G2 Reviews of DataBuck?

Ataccama ONE

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
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Toronto, Canada
  • Twitter: @ataccama
    3,086 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    436 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Large, 42% Small

What Do G2 Reviewers Say About Ataccama ONE?

AI-generated summary from verified user reviews

Pros
  • Users praise the good customer support of Ataccama ONE, enhancing their overall experience and satisfaction.
  • Users value the customizable interface of Ataccama ONE, enhancing their overall experience and functionality.
  • Users value the customizable interface of Ataccama ONE, enhancing their overall user experience.
  • Users praise the ease of use of Ataccama ONE, highlighting its intuitive UI and customization options.
  • Users appreciate the easy-to-use and customizable UI of Ataccama ONE, enhancing their overall experience.
Cons
  • Users find Ataccama ONE to have a complex interface that requires significant learning to navigate effectively.
  • Users find Ataccama ONE to have a difficult learning experience, impacting their ability to use the software effectively.
  • Users find Ataccama ONE difficult to learn, highlighting the need for a better onboarding experience.
  • Users find Ataccama ONE to have a complex learning curve, requiring significant time to master the software.
  • Users find Ataccama ONE difficult to learn, requiring significant time and effort to master its features.

What Are Recent G2 Reviews of Ataccama ONE?

Dagster

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?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Dagster?

AI-generated summary from verified user reviews

Pros
  • Users value the strong analytics capabilities of Dagster, enhancing reliability and transparency in data orchestration.
  • Users love the ease of use of Dagster, enabling reliable and transparent data orchestration seamlessly.
  • Users value Dagster's asset-centric approach, enhancing reliability, transparency, and ease of monitoring in data orchestration.
  • Users value the flexibility of Dagster, appreciating its sophistication and adaptability for various data engineering use cases.
  • Users find Dagster to be a sophisticated and modern tool, ideal for diverse data engineering needs.
Cons
  • Users find Dagster's difficult learning curve challenging, hindering adoption and complicating the onboarding process.
  • Users find Dagster's steep learning curve challenging, especially for smaller teams seeking simplicity and ease of use.
  • Users find Dagster has a steep learning curve that can complicate initial adoption and usability.
  • Users find the steep learning curve of Dagster challenging, which complicates initial adoption and usage.
  • Users find the complex setup of Dagster to be challenging, hindering quick adoption and ease of use.

What Are Recent G2 Reviews of Dagster?

DataTrust

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: 4.6/5.0

Total Reviews: 14

How Do G2 Users Rate DataTrust?

  • Ease of Admin: 9.2/10 (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 DataTrust?

  • Seller: RightData
  • Year Founded: 2016
  • HQ Location: Atlanta, US
  • Twitter: @GetRightData
    121 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    90 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 36% Large, 36% Small

What Do G2 Reviewers Say About DataTrust?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of DataTrust, benefiting from its user-friendly and intuitive interface.
  • Users appreciate the time-saving capabilities of DataTrust, enhancing efficiency and reducing manual efforts in data reconciliation.
  • Users appreciate the user-friendly interface of DataTrust, enabling efficient and visual data mapping and validation.
  • Users value quick bug detection and resolution by DataTrust, enhancing their overall testing experience and productivity.
  • Users commend the responsive customer support of DataTrust, valuing their quick resolutions and ongoing collaboration.
Cons
  • Users experience performance issues such as slowdowns with large datasets and occasional bugs during integration.
  • Users experience slow performance when processing large datasets, leading to frequent issues and manual interventions.
  • Users experience occasional performance and caching issues along with minor bugs affecting CICD tool integration.
  • Users experience complex setup challenges with DataTrust, especially when working with large datasets and intricate data types.
  • Users report integration issues with DataTrust, including performance glitches and minor bugs with CICD tools.

What Are Recent G2 Reviews of DataTrust?

What Are G2 Users Discussing About DataTrust?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated May 28, 2025