Best Data Observability Tools with a Free Trial

NeuBird AI is an AI-powered Site Reliability Engineering platform that acts like your smartest, most tireless SRE who is watching your entire stack around the clock so your team doesn't have to. When something goes wrong, it doesn't just fire an alert. It investigates. It pulls from your logs, metrics, traces, and incident tickets, figures out what actually broke and why, and tells your team exactly what to do next, or just handles it. Hawkeye by NeuBird connects to the tools you already use, like Datadog, Splunk, PagerDuty, ServiceNow, AWS CloudWatch, and more and reasons across all of them the way a senior engineer would, without the 2 AM wake-up call. The result: incidents that used to take hours to resolve get closed in minutes, with MTTR cut by up to 90%. It runs continuously, deploys as SaaS or inside your own VPC, and works within your existing security controls. No rip-and-replace required. Triage and resolve incidents proactively, and faster. Escalate less.

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments.

See the impact of data issues without running SQL. We analyze your logs and metadata to identify freshness and volume anomalies, schema changes in tables, pipeline errors, and their blast radius effects on your business. Masthead observes every table, process, script, and dashboard in the data warehouse and connected BI tools for anomalies, alerting data teams in real time if any data failures occur. Masthead shows the origin and implications of data anomalies and pipeline errors on data consumers. Masthead maps data issues on lineage, so you can troubleshoot within minutes, not hours. We get a comprehensive view of all processes in GCP without giving access to our data was a game-changer for us. It saved us both time and money. Gain visibility into the cost of each pipeline running in your cloud, regardless of ETL. Masthead also has AI-powered recommendations to help you optimize your models and queries. It takes 15 min to connect Masthead to all assets in your data warehouse.

Axoflow, the Security Data Layer is the foundation for your SIEM and analytics tools enabling the use of AI, up to 70% faster investigations, and more than 50% reduction in SIEM spend by feeding them with actionable data. Axoflow Platform is built up of the following parts: A pipeline acting as the transportation layer for your security data and also acting as an automated ‘translator’ between data schemas. AI - If you prefer to run your detection content locally - whether it’s an AI or ML model, a threat intel lookup, or another type of enrichment - we’ve got you covered. Storage solutions to facilitate the cost-effective storage of security data and also acting as local storage to run your decentralized detection. Orchestration to weave all of the parts together in an easy-to-use GUI that lets youmonitor and manage, and control and search your data.

Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.

Mezmo (formerly LogDNA) enables organizations to instantly centralize, monitor, and analyze logs in real-time from any platform, at any volume. We seamlessly combine log aggregation, custom parsing, smart alerting, role based access controls, and real-time search, graphs, and log analysis in one suite of tools. Our cloud based SaaS solution sets up within two minutes to collect logs from AWS, Docker, Heroku, Elastic and more. Running Kubernetes? Start logging in two kubectl commands. Simple, pay-per-GB pricing without paywalls, overage charges, or fixed data buckets. Simply pay for the data you use on a month-to-month basis. We are SOC2, GDPR, PCI, and HIPAA compliant and are Privacy Shield certified. Our military grade encryption ensures your logs are secure in transit and storage. We empower developers with user-friendly, modernized features and natural search queries. With no special training required, we save you even more time and money.

Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required.

Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected.

Data is the backbone of effective decision-making. However, employees spend more time managing it than using it. ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. Unlock the value of your data investment by making data teams more efficient, improving project outcomes, replacing multiple existing tech solutions, and providing you with a competitive advantage.

Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.

Kensu monitors the end-to-end quality of data usage in real time so your team can easily prevent data incidents. It is more important to understand what you do with your data than the data itself. Analyze data quality and lineage through a single comprehensive view. Get real-time insights about data usage across all your systems, projects, and applications. Monitor data flow instead of the ever-increasing number of repositories. Share lineages, schemas and quality info with catalogs, glossaries, and incident management systems. At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating. Generate notifications about specific data events and their context. Understand how data has been collected, copied and modified by any application. Detect anomalies based on historical data information. Leverage lineage and historical data information to find the initial cause.

A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts.

DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets.

Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives.

SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahead of issues, reduce data downtime, and deliver trusted data faster. With SYNQ, every critical data product has clear ownership and real-time visibility into its health. When something breaks, the right people are alerted—with the context they need to understand and resolve the issue quickly. At the center of SYNQ is Scout, your autonomous, always-on data quality agent. Scout proactively monitors data products, recommends what and where to test, does root-cause analysis and fixes issues. It connects lineage, issue history, and contextual data to help teams fix problems faster. SYNQ integrates with the tools you already use and is trusted by leading scale-ups and enterprises such as VOI, Avios, Aiven and Ebury.

Unravel is an AI-native data observability platform designed to help modern enterprises detect, resolve, and prevent data issues at scale. It uses intelligent, automated agents that work alongside data teams to surface insights, guide decisions, and reduce operational toil. Unravel brings data observability and FinOps together, enabling organizations to improve performance, ensure reliability, and optimize cloud data spending. The platform provides end-to-end visibility across pipelines, workloads, and infrastructure. With agent-driven actionability™, Unravel can take action on behalf of teams, integrate directly with existing tools, or recommend next-best actions. It supports major data platforms including Databricks, Snowflake, and Google Cloud BigQuery. By combining automation with human control, Unravel transforms data observability into a collaborative, always-on partner.

Datagaps DataOps Suite is a comprehensive platform designed to automate and streamline data validation processes across the entire data lifecycle. It offers end-to-end testing solutions for ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Key features include automated data validation and cleansing, workflow automation, real-time monitoring and alerts, and advanced BI analytics tools. The suite supports a wide range of data sources, including relational databases, NoSQL databases, cloud platforms, and file-based systems, ensuring seamless integration and scalability. By leveraging AI-powered data quality assessments and customizable test cases, Datagaps DataOps Suite enhances data accuracy, consistency, and reliability, making it an essential tool for organizations aiming to optimize their data operations and achieve faster returns on data investments.