Alternatives to Metaplane
Compare Metaplane alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Metaplane in 2025. Compare features, ratings, user reviews, pricing, and more from Metaplane competitors and alternatives in order to make an informed decision for your business.
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AnalyticsCreator
AnalyticsCreator
Automate data modeling and generate best-practice code for modern data stacks with AnalyticsCreator. Optimize your ETL automation, data warehouse development, and data pipeline creation and management by automating the design of dimensional models, data marts, or data vault architectures. Seamlessly integrate with Microsoft Fabric, Power BI, Snowflake, Tableau, Azure Synapse and more. Experience powerful automated documentation, lineage tracking, and schema evolution capabilities that accelerate your development lifecycle. The intelligent metadata management and schema handling enables rapid prototyping and deployment of analytics and data solutions. Reduce development time through automation of repetitive tasks while supporting modern data engineering workflows, CI/CD, and agile methodologies. Let AnalyticsCreator handle the complexities of data modeling and transformation so you can focus on deriving value from your data. -
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Immuta
Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. -
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Anomalo
Anomalo
Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds. You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem. -
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Decube
Decube
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. -
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Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
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Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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Qualytics
Qualytics
Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement. -
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Masthead
Masthead
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.Starting Price: $899 per month -
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Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
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Digna
Digna
Digna is an AI-powered anomaly detection solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies. In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; it’s a partner in your journey towards impeccable data quality. -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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VictoriaMetrics Anomaly Detection
VictoriaMetrics
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency. -
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AiOpsX
XPLG
Deep Text Inspection, anomaly detection, clustering. Cutting edge AI that scans all log data and streams insights and alerts. ML clustering that detects new errors, unique risk KPI and more. Pattern recognition and discovery. Anomaly detection for data, risk and content monitoring. Integration with Logstash, ELK and others. AiOpsX deployed in minutes on any log data and augmentד existing monitoring and log analysis tools with millions of smart eyes. Security, performance, audit, errors & problems, trends, anomalies, and much more! Unique algorithms identify patterns and compute risk levels. Anomaly detection continuously scans risk level and performance data to identify outliers. The AiOpsX monitoring engine identifies new types of messages, errors, log volume changes, risk level spikes; and triggers reports and alerts for IT monitoring teams and app owners. -
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Avora
Avora
AI-powered anomaly detection and root cause analysis for the metrics that matter to your business. Using machine learning, Avora autonomously monitors your business metrics 24/7 and alerts you to critical events so that you can take action in hours, rather than days or weeks. Continuously analyze millions of records per hour for unusual behavior, uncovering threats and opportunities in your business. Use root cause analysis to understand what factors are driving your business metrics up or down so that you can make changes quickly, and with confidence. Embedded Avora’s machine learning capabilities and alerts into your own applications, using our suite of APIs. Get alerted about anomalies, trend changes and thresholds via email, Slack, Microsoft Teams, or to any other platform via Webhooks. Share relevant insights with other team members. Invite others to track existing metrics and receive notifications in real-time. -
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IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
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Datafold
Datafold
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place. -
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Revefi Data Operations Cloud
Revefi
Your zero-touch copilot for data quality, spending, performance, and usage. Your data team won’t be the last to know about broken analytics or bottlenecks. We pull out anomalies and alert you right away. Improve your data quality and eliminate downtimes. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation. Reduce and optimize costs, and allocate resources effectively. We slice and dice your spending areas by warehouse, user, and query. When spending trends the wrong way, you get a notification. Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources. Say goodbye to manual data checks with automated monitoring built on your data warehouse. You can find the root cause and solve issues within minutes before they affect your downstream users.Starting Price: $299 per month -
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cloudNito
cloudNito
cloudNito is an innovative AI-powered SaaS platform designed to help businesses of all sizes optimize their AWS cloud costs. Our solution combines real-time monitoring, advanced anomaly detection, and automated cost-saving actions to eliminate wasteful spending and improve cloud efficiency. Key features include: AI-driven cost anomaly detection Automated resource scaling and optimization Detailed cost allocation and reporting Predictive cost forecasting Customizable alerts and thresholds With cloudNito, companies can save their AWS bills, ensuring maximum value from their cloud investment.Starting Price: $99/Month -
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Datakin
Datakin
Instantly reveal the order hidden within your complex data world, and always know exactly where to look for answers. Datakin automatically traces data lineage, showing your entire data ecosystem in a rich visual graph. It clearly illustrates the upstream and downstream relationships for each dataset. The Duration tab summarizes a job’s performance in a Gantt-style chart along with its upstream dependencies, making it easy to find bottlenecks. When you need to pinpoint the exact moment of a breaking change, the Compare tab shows how your jobs and datasets have changed between runs. Sometimes jobs that run successfully produce bad output. The Quality tab surfaces critical data quality metrics, showing how they change over time so anomalies become obvious. Datakin helps you find the root cause of issues quickly – and prevent new ones from occurring.Starting Price: $2 per month -
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Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes. -
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Auger.AI
Auger.AI
Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.Starting Price: $200 per month -
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Coalesce
Coalesce
Building and managing a fully documented data project takes a lot of time and manual coding. Not anymore. When we say we can help you transform data more efficiently, we can prove it. Column-aware architecture enables reusable data patterns and change management at scale. Bring visibility to change management and impact analysis for safer and more predictable data ops. Coalesce provides curated packages with best-practice templates to automatically generate native-SQL for Snowflake™. Have a unique need? No worries, templates are fully customizable. Navigating your data pipeline is easy in Coalesce. Each screen and button is designed to provide access to everything you need. Your data team has more control over every project, from comparing code side-by-side to instantly seeing project and audit history. Table-level and column-level lineage is automatically provided and always up-to-date. -
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Shield34
Shield34
Shield34 is the ONLY web automation framework that: Is 100% Selenium compatible! Continue working with your existing Selenium scripts. Create new scripts using Selenium API. Addresses the Selenium flaky tests issues by using self healing, smart defenses, error recovery mechanisms and dynamic element locators. Provides AI based anomaly detection and root cause analysis to quickly analyze failed tests and see what changed and what caused the failure. Eliminate Flaky Tests. Flaky tests are a huge pain! Shield34 adds defense-and-recovery AI algorithms to every Selenium command, including dynamic element locator, eliminating false positive results, driving self-healing and maintenance-free testing. Get Real-time Root Cause Analysis Using AI algorithms, Shield34 is automatically pinpointing the root cause of every test failure – reducing the overhead of debugging and reproducing failed tests. Enjoy a ‘Smarter Selenium’. Integrate automatically with your -
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Infrascale Cloud Backup
Infrascale
Infrascale offers an enterprise cloud backup solution which includes Anomaly Detection, to alert you when the number of “new” or “changed” files dramatically changes from established benchmark levels. The Anomaly Detection feature provides an important early warning system to quickly isolate a ransomware infection and allow you to recover important data before the entire network is frozen. Infrascale understands that backup and recovery of mission-critical data is of utmost importance. This includes the flexibility to perform backups on any endpoint device, and to deliver fast and effortless restores – as well as making it easy to use for the end user. Infrascale Cloud Backup provides unlimited retention and version history, with support for an unlimited number of endpoint devices. Endpoint backup data is always available! With built-in local backup for rapid restore and redundancy, and Live Protect to monitor and capture data changes real-time. -
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CloverDX
CloverDX
Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.Starting Price: $5000.00/one-time -
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LogicLadder
LogicLadder
Achieve your net zero vision with a single platform. IoT Gateways and Edge Gateways help you acquire real time data on energy, water and emission directly from sensors or automation systems. Automated workflows and data scheduling to collect data accurately and with speed. Acquire data across your value chain. Acquire all your sustainability data into single repository with our powerful third party integrations and API. Full auditable record of data generation, change request and correction. Automated data checks and anomaly detection for keeping your data clean and disclosure grade. Setup permissions, workflows and validation rules for automated and manual data correction. -
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Mona
Mona
Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance. -
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Evidently AI
Evidently AI
The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.Starting Price: $500 per month -
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Google Cloud Dataplex
Google
Google Cloud's Dataplex is an intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern data across data lakes, data warehouses, and data marts with consistent controls, providing access to trusted data and powering analytics and AI at scale. Dataplex offers a unified interface for data management, allowing users to automate data discovery, classification, and metadata enrichment of structured, semi-structured, and unstructured data stored in Google Cloud and beyond. It facilitates the logical organization of data into business-specific domains using lakes and data zones, simplifying data curation, tiering, and archiving. Centralized security and governance features enable policy management, monitoring, and auditing across data silos, supporting distributed data ownership with global oversight. Additionally, Dataplex provides built-in data quality and lineage capabilities, automating data quality assessments and capturing data lineage.Starting Price: $0.060 per hour -
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Montara
Montara
Montara enables BI teams and data analysts, using SQL only, to model and transform their data easily and seamlessly and enjoy benefits such as modular code, CI/CD, versioning and automated testing and documentation. With Montara, analysts can quickly understand how changes to models impact analysis, reports and dashboards with report-level lineage and support for 3rd party visualization tools such as Tableau and Looker. Furthermore, BI teams can perform ad-hoc analysis and create reports and dashboards on Montara directly.Starting Price: $100/user/month -
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Telmai
Telmai
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. -
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Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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Subex Fraud Management
Subex
One stop solution to address all types of frauds across Voice, Data and Digital Services. Built on 25 years of domain expertise, Subex Fraud Management provides 360° fraud protection across digital services by leveraging advanced machine learning and signaling intelligence. The solution combines a traditional rules engine with advanced artificial intelligence/machine learning capabilities to provide increased coverage across all your services and minimize fraud run-time in the network with real-time blocking capabilities. At the heart of the Subex Fraud Management solution is a hybrid rule engine that covers detection techniques like thresholds, expressions, and trends. Rule engine comprises of a combination of threshold rules, geographic rules, pattern (sequential) rules, combinatorial rules, ratio/proportion-based rules, negative rules, hotlist-based rules, etc. which enable you to monitor advanced threats in the network. -
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Select Star
Select Star
Set up your automated data catalog in just 15 minutes, and receive column-level lineage, Entity Relationship (ER) diagram, and auto-populated documentation within 24 hours. Easily find, tag, and add documentation to your data so everyone can find the right dataset for their use case. Select Star automatically detects and displays your column-level data lineage. You can now trust the data, knowing where it came from. Select Star automatically surfaces how your company uses data. That means you can identify relevant data fields without needing to ask someone else. Select Star treats your data with AICPA SOC 2 Security, Confidentiality, and Availability standards, making sure your data is always safe and sound.Starting Price: $270 per month -
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IBM Z Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems. Your essential services and applications must always be available in today's digital environment. For enterprises with hybrid applications, including IBM Z, detecting and determining the root cause of hybrid application issues has become more complex with rising costs, skill shortages, and changing user patterns. Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
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Castor
Castor
Castor is a data catalog designed for mass adoption across the whole company. Have an overview of all your data environment. Search for data instantly thanks to our powerful search engine. Onboard to a new data infrastructure and access data in a breeze. Go beyond your traditional data catalog. Modern data teams now have numerous data sources, build one truth. With its delightful and automated documentation experience, Castor makes it dead simple to trust data. Column-level, cross-system data lineage in minutes. Get a bird’s eye view of your data pipelines to build trust in your data. Troubleshoot data issues, perform impact analyses, comply with GDPR in one tool. Optimize performance, cost, compliance, and security for your data. Keep your data stack healthy with our automated infrastructure monitoring system.Starting Price: $699 per month -
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Tatvic Anomaly Detection
Tatvic Analytics
Real-time Anomaly Detection solution helps you identify certain user behavior or actions or a set of actions by users which do not conform to an expected pattern(s) in a dataset. Expected patterns can be generated from historical data sets or idealistic datasets that you can configure as well – we’re big on customization at Tatvic. Now know the sudden spike in the traffic to your website or app is due to bots and spam or is there some other external factor affecting the spike. Real-time Anomaly Detection solution lets you point out faults on your website such as broken UX due to new release or change in website and app. For more complex websites, Real-time Anomaly Detection enables you to keep a track of whether your website and app is up and running smoothly.Starting Price: $39.99/month/user -
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Intelligent Threat Detection. Faster Response. 98% of all threats start with Active Directory and nearly always involve the compromise of data stored on enterprise data stores. Our unique combination of detailed auditing, anomaly detection, real time alerting, and real time data discovery and classification allows you to identify, prioritize and investigate threats - fast. Protect Sensitive Data from Rogue Users and Compromised User Accounts. We enable you to detect and investigate threats to your most sensitive data in ways no other vendor can. Bringing together data discovery and classification with threat detection enables you to investigate all events, changes, actions and anomalies with context. End to end visibility of Active Directory, Group Policy, File Servers, Office 365, NetApp, SharePoint, Box, Dropbox and more. Detect and Respond to Security Threats 10x Faster. Investigate threats as they emerge in Active Directory and track movement
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SmartFlow
Solana Networks
SmartFlow is an IT cyber security monitoring tool that uses Anomaly Detection to pinpoint hard-to-detect security threats. SmartFlow complements existing signature based security monitoring tools. It analyzes network flow traffic to detect zero-day security attacks. Smartflow is an appliance based solution and targeted for medium and large enterprises. SmartFlow utilizes patent-pending anomaly detection techniques and network behaviour analysis to identify security threats in a network. It applies Solana algorithms on flow data such as Netflow to detect address scans, DDoS attacks, Botnets, port scans, malware etc. Zero day threats and encrypted malicious traffic (such as Botnet Command & Control) may escape detection by signature-based security monitoring tools. However, they will not escape detection by SmartFlow. SmartFlow distills network traffic and flow data into more than 20 different statistical measures which it continuously analyzes for early warnings of cyber threats.Starting Price: $5000 per year -
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Supervizor
Supervizor
With unparalleled anomaly detection, Supervizor’s continuous quality assurance helps error-proof your accounting and curb fraud. We are on a mission to help corporations produce reliable financial data. Supervizor provides corporations with unique anomaly detection capabilities to identify several types of errors (including accounting ones) and fraud attempts. Processes and people systematically produce errors, and organizations encounter a growing number of fraud schemes. Connect your ERP and let Supervizor consolidate journal entries using our library of millions of accounting patterns. Continuously run ready-to-use checks across multiple areas. Collaborate between teams to oversee financial data quality across subsidiaries, systems, departments, and geographies. Automatically extracts and prepares your data to avoid spending time gathering, scrubbing, and formatting manually. Identifies and prioritizes your riskiest findings to investigate, intelligently minimizing false positives. -
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NEMESIS
Aviana
NEMESIS: Next-generation AI-powered anomaly detection technology designed to recognize fraud and waste. NEMESIS: Next-generation AI-powered anomaly detection technology pinpoints efficiency opportunities in your business management systems. Powered by AI, NEMESIS is an enterprise-ready configurable business solution platform, empowering business analysts to swiftly transform data into actionable insights. Allow the power of AI to solve your problems of overstaffing, medical errors, quality of care, and claims fraud. Benefit from NEMESIS’s uninterrupted process monitoring, unearthing a wide range of risk elements, from predicting quality issues to waste and abuse. Employ machine learning and AI to detect fraud and fraud schemes before they drain your finances. Exercise more robust controls over expenses and budget deviations, through continuous visibility of waste and abuse. -
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Ingalls MDR
Ingalls Information Security
Our Managed Detection and Response (MDR) service is designed for advanced detection, threat hunting, anomaly detection and response guidance utilizing a defense-in-depth approach which monitors and correlates network activity with endpoints, logs and everything in between. Unlike a traditional Managed Security Service Provider (MSSP), our service is geared toward proactive prevention. We do this by utilizing the very latest in cloud, big data analytics technology, and machine learning along with the cybersecurity industry’s leading incident response team, to identify threats to your environment. We leverage the best of the commercial, open source, and internally-developed tools and methods to provide the highest fidelity of monitoring possible. We have partnered with Cylance to provide the best endpoint threat detection and prevention capability available on the market today, CylancePROTECT(™). -
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Sightline EDM
Sightline Systems
Sightline Enterprise Data Manager™ (EDM) is a powerful IT monitoring and performance analytics solution that provides real-time visibility across today’s modern cloud, virtual and hybrid IT environments. Sightline leverages big data visualization, predictive analytics and machine learning to deliver root cause analysis, real-time anomaly detection, automated forecasting and capacity planning to help organizations identify infrastructure problems. -
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Amazon GuardDuty
Amazon
Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. With the cloud, the collection and aggregation of account and network activities is simplified, but it can be time consuming for security teams to continuously analyze event log data for potential threats. With GuardDuty, you now have an intelligent and cost-effective option for continuous threat detection in AWS. The service uses machine learning, anomaly detection, and integrated threat intelligence to identify and prioritize potential threats. GuardDuty analyzes tens of billions of events across multiple AWS data sources, such as AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. With a few clicks in the AWS Management Console, GuardDuty can be enabled with no software or hardware to deploy or maintain. -
47
Lightup
Lightup
Empower enterprise data teams to proactively prevent costly outages, before they occur. Quickly scale data quality checks across enterprise data pipelines with efficient time-bound pushdown queries — without compromising performance. Proactively monitor and identify data anomalies, leveraging prebuilt DQ-specific AI models — without manual threshold setting. Lightup’s out-of-the-box solution gives you the highest level of data health so you can make confident business decisions. Arm stakeholders with data quality intelligence for confident decision-making. Powerful, flexible dashboards provide transparency into data quality and trends. Avoid data silos by using Lightup’s built-in connectors to seamlessly connect to any data source in your data stack. Streamline workflows by replacing manual, resource-intensive processes with automated and accurate data quality checks. -
48
Lumeus
Lumeus
Automate anomaly detection to meet SLAs. Monitor the entire network. Optimize digital experiences. Modernize network security leveraging your existing infrastructure through an agentless, AI-assisted approach. Enforce access by least privilege. Create identity-based boundaries. Extend to applications, devices, and infrastructure. Instant notifications of escalations. Review all session activity and details from cohesive logs. Enable device fingerprinting and gain network topology insights. Seamlessly connect to your existing infrastructure. Unify connectivity and control from campus to cloud. Organizations can use Lumeus to monitor and detect escalations using AI; segment traffic to prevent lateral movement; and secure user access by extending MFA and zero trust to network infrastructure all with one unified management plane. Lumeus has a cloud management portal that connects to your infrastructure via API. -
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Wraith
NetCentrics
Rapid cloud adoption coupled with the complexities of multi-cloud environments and siloed security teams creates a critical visibility gap for many organizations. Wraith addresses this challenge by offering unparalleled visibility and threat-hunting capabilities across on-premise, hybrid, and multi-cloud architectures. These capabilities are enhanced by AI-enabled anomaly detection, making Wraith an essential tool for neutralizing hidden threats to secure and defend cloud environments. Wraith provides comprehensive multi-terrain visibility, allowing security teams to monitor assets and activities across different Cloud Service Providers (CSPs) with a single tool set. This ensures a unified security posture and faster threat response across diverse and complex cloud environments. -
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Nazar
Nazar
Nazar was created from our own needs to manage multiple databases in multi-cloud or hybrid environments. It is production ready for the main database engines and completely eliminates the need for using multiple tools. It saves one a lot of time by making a standard and easy way to setup new servers in the platform. Get a normalized view of your database's behavior on a single dashboard without having to use multiple tools with completely different views and metrics from one another. Setting up, tracing and investigating logs and querying data dictionaries every time is not where the race is won. Nazar uses the resources already available in the DBMS for monitoring and does not need to rely on agents. NAZAR automates anomaly detection and root-cause analysis, reducing mean time to resolution (MTTR) and detecting issues to avoid incidents for peak application and business performance.
