# Best Data Observability Software for Small Business

  *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

   Products classified in the overall Data Observability category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Observability to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2&#39;s buying advisors to find the right solutions within the Small Business Data Observability category.

In addition to qualifying for inclusion in the Data Observability Software category, to qualify for inclusion in the Small Business Data Observability Software category, a product must have at least 10 reviews left by a reviewer from a small business.






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**Sponsored**

### QuerySurge

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



[Book a Demo](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&amp;secure%5Bad_slot%5D=category_product_list&amp;secure%5Bcategory_id%5D=1003968&amp;secure%5Bdisplayable_resource_id%5D=108&amp;secure%5Bdisplayable_resource_type%5D=Category&amp;secure%5Bmedium%5D=sponsored&amp;secure%5Bplacement_reason%5D=neighbor_category&amp;secure%5Bplacement_resource_ids%5D%5B%5D=74&amp;secure%5Bplacement_resource_ids%5D%5B%5D=2686&amp;secure%5Bprioritized%5D=false&amp;secure%5Bproduct_id%5D=54942&amp;secure%5Bresource_id%5D=1003968&amp;secure%5Bresource_type%5D=Category&amp;secure%5Bsource_type%5D=category_page&amp;secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-observability%2Fsmall-business&amp;secure%5Btoken%5D=555a00ced5a57eb441b2d5aa46179a1b496a5eb9b3691c4b76a881391ba93826&amp;secure%5Burl%5D=https%3A%2F%2Fwww.querysurge.com%2Fget-started%2Fprivate-demo%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DG2-reviews&amp;secure%5Burl_type%5D=book_demo)

---

## Top-Rated Products (Ranked by G2 Score)
  ### 1. [Metaplane](https://www.g2.com/products/metaplane/reviews)
  Metaplane is the end-to-end data observability tool that helps data teams know when things break, what went wrong, and how to fix it. Built for the modern data stack, we empower data teams to start monitoring their data in minutes. We’re backed by world-class investors and advisors, including Y Combinator, Khosla Ventures, HubSpot, Clearbit, Okta, Flybridge, and Drift. Metaplane helps you build trust in your company&#39;s data, increase your team&#39;s awareness of the state of data quality, and ultimately save engineering time. Key features include anomaly detection, usage analytics, data lineage, and custom SQL tests. Integrations include Snowflake, Redshift, BigQuery, dbt, Looker, Mode, Metabase, Tableau, Postgres, MySQL, Slack, and PagerDuty.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 116

**User Satisfaction Scores:**

- **Ease of Admin:** 9.3/10 (Category avg: 8.8/10)
- **Anomaly identification:** 9.2/10 (Category avg: 8.8/10)
- **Automation:** 9.1/10 (Category avg: 8.6/10)
- **Integrations:** 9.0/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq (50,828 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1066442/ (10,625 employees on LinkedIn®)
- **Ownership:** NASDAQ: DDOG

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 66% Mid-Market, 22% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (6 reviews)
- Easy Integrations (6 reviews)
- Monitoring (4 reviews)
- Alerting System (3 reviews)
- Anomaly Detection (3 reviews)

**Cons:**

- Limited Customization (4 reviews)
- Alert Management (3 reviews)
- Inefficient Alert System (3 reviews)
- Complex Setup (2 reviews)
- Difficult Setup (2 reviews)

  ### 2. [Dash0](https://www.g2.com/products/dash0/reviews)
  Dash0 is the only OpenTelemetry Native observability platform built with developers in mind. With granular, resource-centric monitoring, Dash0 provides real-time visibility across your applications and infrastructure. Its simple, transparent pricing and seamless integration with open standards like Perses, PromQL, and Kubernetes make it a breeze to use. Dash0 helps you quickly spot issues and optimize performance with actionable insights from logs, traces, and metrics, all in one place.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 41

**User Satisfaction Scores:**

- **Ease of Admin:** 9.2/10 (Category avg: 8.8/10)
- **Anomaly identification:** 9.1/10 (Category avg: 8.8/10)
- **Automation:** 9.0/10 (Category avg: 8.6/10)
- **Integrations:** 9.2/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Dash0](https://www.g2.com/sellers/dash0-d8c455c3-cd78-4a96-904e-add5fd91946b)
- **Company Website:** https://www.dash0.com
- **Year Founded:** 2023
- **HQ Location:** New York
- **Twitter:** @dash0hq (2,285 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dash0hq (109 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 50% Small-Business, 31% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (31 reviews)
- Customer Support (30 reviews)
- User Interface (24 reviews)
- Easy Setup (20 reviews)
- Easy Integrations (18 reviews)

**Cons:**

- Limited Features (10 reviews)
- Feature Deficiency (9 reviews)
- Missing Features (9 reviews)
- Limited Customization (6 reviews)
- Feature Limitations (5 reviews)

  ### 3. [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading organizations depend on Monte Carlo&#39;s end-to-end platform to easily detect and resolve data + AI issues at scale. Offering thoughtfully automated workflows, intuitive collaboration tools and first-of-their-kind Observability Agents for monitoring and resolution, Monte Carlo extends it&#39;s powerful platform into every layer of the data + AI estate—data, system, code, and model—to help teams detect issues immediately, resolve them quickly, and scale coverage faster. Consistently ranked #1 in its category, Monte Carlo sets the industry standard for data + AI reliability, helping enterprise teams everywhere to reduce risk, accelerate innovation, and drive more value from their data + AI products.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 485

**User Satisfaction Scores:**

- **Ease of Admin:** 8.5/10 (Category avg: 8.8/10)
- **Anomaly identification:** 8.7/10 (Category avg: 8.8/10)
- **Automation:** 8.1/10 (Category avg: 8.6/10)
- **Integrations:** 8.1/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Monte Carlo](https://www.g2.com/sellers/monte-carlo)
- **Company Website:** https://www.montecarlodata.com/
- **HQ Location:** San Francisco, US
- **Twitter:** @montecarlodata (1,576 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/monte-carlo-data/ (576 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Data Engineer, Senior Data Engineer
  - **Top Industries:** Financial Services, Computer Software
  - **Company Size:** 49% Enterprise, 43% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (112 reviews)
- Alerts (107 reviews)
- Monitoring (97 reviews)
- Alerting System (78 reviews)
- Data Quality (53 reviews)

**Cons:**

- Alert Management (68 reviews)
- Alert Overload (62 reviews)
- Inefficient Alert System (53 reviews)
- UX Improvement (49 reviews)
- Limited Functionality (44 reviews)

  ### 4. [IBM Databand](https://www.g2.com/products/ibm-databand/reviews)
  Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --\&gt; https://www.ibm.com/account/reg/us-en/signup?formid=DEMO-dataaidataband CORE CAPABILITIES Incident Management Improve data reliability and quality under one roof with a single pane of glass for all your data incidents. Data Reliability Monitoring Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes. Data Quality Metrics Continuously validate data quality with dataset metrics for SLAs, column changes, and null records. Anomaly Detection Eliminate the unknown by seeing trends &amp; detecting anomalies from your metadata in real time. DataOps Alerting and Routing Customize incident alerts and route notifications to impacted DataOps teams for faster resolution. End-to-end Lineage Visualize how data incidents impact upstream and downstream components of your data stack. Website www.ibm.com/products/databand


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 65

**User Satisfaction Scores:**

- **Ease of Admin:** 8.0/10 (Category avg: 8.8/10)
- **Anomaly identification:** 8.3/10 (Category avg: 8.8/10)
- **Automation:** 8.2/10 (Category avg: 8.6/10)
- **Integrations:** 8.6/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, NY
- **Twitter:** @IBM (708,000 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, Data Analyst
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Mid-Market, 33% Enterprise


#### Pros & Cons

**Pros:**

- Anomaly Detection (2 reviews)
- Monitoring (2 reviews)
- Automation (1 reviews)
- Dashboard Customization (1 reviews)
- Data Management (1 reviews)

**Cons:**

- Limited Features (3 reviews)
- Expensive (2 reviews)
- Integration Issues (2 reviews)
- Learning Difficulty (2 reviews)
- Missing Features (2 reviews)

  ### 5. [Bigeye](https://www.g2.com/products/bigeye/reviews)
  AI is only as good as the data it runs on. Bigeye is the enterprise AI Trust platform built for data-driven organizations that need confidence in how AI uses their data. A longtime leader in data observability and lineage, Bigeye brings data quality, sensitivity scanning, governance, and runtime policy enforcement together in a single, end-to-end platform. This unified approach gives enterprises full visibility and control over how data is accessed, governed, and acted on by AI. By comprehensively managing data and AI, Bigeye helps teams accelerate AI deployments, improve stakeholder trust, and ensure accuracy, safety, and reliability at scale. Leading organizations including USAA, Zoom, Hertz, Cisco, and Freedom Mortgage rely on Bigeye to keep their data, and the AI built on top of it, reliable by default.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 22

**User Satisfaction Scores:**

- **Ease of Admin:** 7.2/10 (Category avg: 8.8/10)
- **Anomaly identification:** 8.2/10 (Category avg: 8.8/10)
- **Automation:** 8.1/10 (Category avg: 8.6/10)
- **Integrations:** 8.4/10 (Category avg: 8.8/10)


**Seller Details:**

- **Seller:** [Bigeye](https://www.g2.com/sellers/bigeye)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @bigeyedata (643 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/bigeye-data/ (68 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 55% Small-Business, 27% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (1 reviews)
- Features (1 reviews)

**Cons:**

- Limited Features (1 reviews)
- Limited Integrations (1 reviews)



## Parent Category

[IT Management Software](https://www.g2.com/categories/it-management)



## Related Categories

- [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)



---

## Buyer Guide

### 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.




