Alternatives to Telmai
Compare Telmai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Telmai in 2026. Compare features, ratings, user reviews, pricing, and more from Telmai competitors and alternatives in order to make an informed decision for your business.
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dbt
dbt Labs
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence. -
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Metaplane
Metaplane
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.Starting Price: $825 per month -
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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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IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
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5
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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Collate
Collate
Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.Starting Price: Free -
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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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Rupert
Rupert
With Rupert's no-code custom alerts, find the actionable opportunities, anomalies, or exceptions you care about and push them directly to Slack. Unlock value from your data warehouse or BI dashboards with Rupert's flexible, no-code monitoring & alerting. Set up monitoring for any metric or event in minutes. Use dynamic thresholds and combine multiple rules to build more valuable alerts. Add breakdowns and filters to scope alerts to the right granularity or cut of data. Choose period over period comparisons, moving averages, anomaly detection and more from our no-code trigger library. Give recipients complete context on alerts by inserting any data from your warehouse, beyond the monitored metric or event Embed programmable actions buttons into alerts. Build any custom URL or use native Jira & Salesforce integrations.Starting Price: $199 per month -
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iceDQ
iceDQ
iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.Starting Price: $1000 -
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MatchX
VE3 Global
MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention. -
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LotusEye
LotusEye
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.Starting Price: $13 per month -
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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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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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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. -
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Qualdo
Qualdo
We are a leader in Data Quality & ML Model for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Algorithms to track Data Anomalies in Azure, GCP & AWS databases. Measure and monitor data issues from all your cloud database management tools and data silos, using a single, centralized tool. Quality is in the eye of the beholder. Data issues have different implications depending on where you sit in the enterprise. Qualdo is a pioneer in organizing all data quality management issues through the lens of multiple enterprise stakeholders, presenting a unified view in a consumable format. Deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance. -
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DQ on Demand
DQ Global
Native to Azure, DQ on Demand™ is architected to provide incredible performance and scalability. Switch data providers with ease and enhance your customer data on a pay-as-you-go basis by plugging straight into our DQ on Demand™ web services, providing you with an easy-to-access data quality marketplace. Many data services are available including data cleansing, enrichment, formatting, validation, verification, data transformations, and many more. Simply connect to our web-based APIs. Switch data providers with ease, giving you ultimate flexibility. Benefit from complete developer documentation. Only pay for what you use. Purchase credits and apply them to whatever service you require. Easy to set up and use. Expose all of our DQ on Demand™ functions right within Excel for a familiar, easy-to-use low-code no-code solution. Ensure your data is cleansed right within MS Dynamics with our DQ PCF controls. -
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Aporia
Aporia
Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution. -
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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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Segwise
Segwise
Automatically tracks and monitors every data point in your MMP every day. You'll receive daily alerts on campaigns and creatives that are impacting your ROAS or behaving unexpectedly. Monitors campaign and creative metrics and sends alerts when it breaches expected thresholds. No matter where your data is stored, Segwise offers seamless, no-code integration with all data sources. Key features include anomaly detection, alerting, and cost-per-custom-event monitoring, providing a comprehensive view of campaign performance. Segwise also monitors the impact of product and LiveOps changes, such as new app versions, experiments, and offers, delivering a 360° perspective on revenue and retention metrics. Users can start with a 14-day free trial, which does not require a credit card or engineering resources, and get up and running in just two minutes. The platform integrates seamlessly with various data sources, offering a no-code solution that requires no engineering effort. -
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datuum.ai
Datuum
AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists. -
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Sift
Sift
Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams. -
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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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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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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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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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Amazon Lookout for Metrics
Amazon
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes. -
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Trusys AI
Trusys
Trusys.ai is a unified AI assurance platform that helps organizations evaluate, secure, monitor, and govern artificial intelligence systems across their full lifecycle, from early testing to production deployment. It offers a suite of tools: TRU SCOUT for automated security and compliance scanning against global standards and adversarial vulnerabilities, TRU EVAL for comprehensive functional evaluation of AI applications (text, voice, image, and agent) assessing accuracy, bias, and safety, and TRU PULSE for real-time production monitoring with alerts for drift, performance degradation, policy violations, and anomalies. It provides end-to-end observability and performance tracking, enabling teams to catch unreliable output, compliance gaps, and production issues early. Trusys supports model-agnostic evaluation with a no-code, intuitive interface and integrates human-in-the-loop reviews and custom scoring metrics to blend expert judgment with automated metrics.Starting Price: Free -
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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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Trillium Quality
Precisely
Rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. Trillium Quality is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources and enterprise infrastructures – including big data and cloud. Its data cleansing and standardization features automatically understand global data, such as customer, product and financial data, in any context – making pre-formatting and pre-processing unnecessary. Trillium Quality services deploy in batch or in real-time, on-premises or in the cloud, using the same rule sets and standards across an unlimited number of applications and systems. Open APIs let you seamlessly connect to custom and third-party applications, while controlling and managing data quality services centrally from one location. -
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Talend Data Fabric
Qlik
Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement. -
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TimeXtender
TimeXtender
TimeXtender is the holistic solution for data integration. TimeXtender provides all the features you need to build a future-proof data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface. You can't optimize for everything all at once. That's why we take a holistic approach to data integration that optimizes for agility, not fragmentation. By using metadata to unify each layer of the data stack and automate manual processes, TimeXtender empowers you to build data solutions 10x faster, while reducing your costs by 70%-80%. We do this for one simple reason: because time matters.Starting Price: $1,600/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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RingsTrue
Cloud Ursa
RingsTrue is a powerful Salesforce-native application that ensures your organization's phone number data is clean, correctly formatted, and validated across the platform. It automatically standardizes telephone entries, including mobile, landline, and fax, by applying internationally recognized formatting, removing extraneous characters, and adding appropriate country codes. The app highlights missing or mismatched numbers (such as when the phone’s country code differs from the record’s location), and it supports both real-time and scheduled batch validation. After execution, RingsTrue provides detailed reports showing how many numbers were cleaned, updated, or validated, broken down by object type as well as overall accuracy. These insights help users prioritize outreach (e.g., targeting live numbers first) and maintain high-quality contact data in Salesforce with minimal effort. -
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Match Data Pro
Match Data Pro
Match Data Pro is an intelligent data quality management tool designed to unify, cleanse, profile, match, deduplicate, and merge records from multiple files, databases, and systems with speed and precision. It provides advanced AI-ready fuzzy matching and configurable rule-based logic that detects duplicates and inconsistencies across large datasets, helping you fix errors, standardize formats, and create reliable golden records without coding. It supports comprehensive data profiling with key metrics to uncover quality issues before processing, powerful data cleansing tools to normalize and standardize information, and address verification capabilities to improve accuracy. Match Data Pro includes Senzing AI entity resolution and customizable matching algorithms that handle slight variations in data, high-performance processing that scales to millions of records, and project job automation with scheduling, reusable rules, and API integrations.Starting Price: $27 per month -
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HighByte Intelligence Hub
HighByte
HighByte Intelligence Hub is a DataOps software solution purpose-built for industrial data. The Intelligence Hub enables manufacturers to securely collect, model, and stream industrial datasets to and from IT systems without writing or maintaining code. The software is deployed at the Edge to merge real-time, transactional, and time-series data into a single payload for consuming applications. With the Intelligence Hub, users can speed system integration time, rapidly leverage contextualized data for analytics, ML, and AI agents, and govern data standards across the enterprise. HighByte Intelligence Hub provides the critical data infrastructure for Industry 4.0. HighByte Intelligence Hub is a software solution that solves data architecture and integration problems at scale for industrial operations. The Intelligence Hub combines Edge operations, advanced data contextualization, and the ability to deliver unique and specific data to multiple end applications in a code-free solution.Starting Price: 17,500 per year -
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Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.
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DataTrust
RightData
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. -
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SCIKIQ
SCIKIQ
We help make AI possible for enterprises. SCIKIQ is a unified AI and Data platform designed to move enterprises from fragmented data to production-ready AI. By combining a Unified Data Layer with a powerful Data Hub & AI Co-pilot, SCIKIQ eliminates data silos and provides a "single version of truth" across your entire organization. SCIKIQ brings together everything an enterprise needs to scale AI, Integrations, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents. all in one platform. Recognized Leader: Named a Top 34 AI Platform by Forrester and a Tech30 company by YourStory. Global Validation: Selected by AWS for showcase at MWC and re:Invent. for the product innovation. Companies We work with are leaders in their categories. We work with leading Banks, financial organisations, Retail, Manufacturing, Supply Chain and other industries. A NoCode, Platform-as-a-Service, Cloud Agnostic, 30-90 Day Installation and Fastest ROI. -
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Proconex Mobius
Proconex
Proconex Mobius Operations Software is a connected industrial operations platform that eliminates manual, paper-based workflows and silos by linking people, systems, and processes on the plant floor to provide real-time visibility, digitization, and actionable insights. It lets manufacturers digitize standard operating procedures, inspections, commissioning routines, and rounds with guided mobile task execution, capturing data consistently with photos, barcodes, and validations to improve compliance and safety. It features role-based dashboards and analytics that visualize real-time and historical performance trends, surface operational risks, and provide customizable reporting, helping teams detect anomalies, understand batch performance, and make faster decisions. Integrated alerting tracks abnormal events with shift-aware notifications, while modular apps such as ProofCheck, QuickView+, DataJaguar, and AlertTrack+ can be deployed independently. -
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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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41
Rulex
Rulex
Rulex helps people and organizations harness their data and make smart decisions by delivering a Decision Intelligence system. While simplifying the entire data harmonization process, Rulex Platform offers a composable combination of advanced technologies to build enterprise-level solutions, including eXplainable AI (XAI), rule-based systems, mathematical optimization, and what-if scenario simulators. Thanks to its intuitive no-code interface, the platform is designed to meet the needs of both data experts and business users. Due to its high versatility, Rulex Platform has been widely adopted across various industries since 2007, including supply chain, financial services, life sciences, and manufacturing.Starting Price: €95/month -
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Crux
Crux
Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics. -
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CLEAN_Data
Runner EDQ
CLEAN_Data is a collection of enterprise data quality solutions for managing the challenging and ever changing profiles of employee, customer, vendor, student, and alumni contact data. Our CLEAN_Data solutions are crucial in managing your enterprise data integrity requirements. Whether you are processing your data in real-time, batch, or connecting data systems, Runner EDQ has an integrated data solution your organization can rely on. CLEAN_Address is the integrated address verification solution that corrects and standardizes postal addresses within Oracle®, Ellucian® and other enterprise systems (ERP, SIS, HCM, CRM, MDM). Our seamless integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing. Real time address verification in all address entry pages using native fields in your SIS or CRM. Integrated batch processing corrects and formats your existing address records. -
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APERIO DataWise
APERIO
Data is used in every aspect of a processing plant or facility, it is underlying most operational processes, most business decisions, and most environmental events. Failures are often attributed to this same data, in terms of operator error, bad sensors, safety or environmental events, or poor analytics. This is where APERIO can alleviate these problems. Data integrity is a key element of Industry 4.0; the foundation upon which more advanced applications, such as predictive models, process optimization, and custom AI tools are developed. APERIO DataWise is the industry-leading provider of reliable, trusted data. Automate the quality of your PI data or digital twins continuously and at scale. Ensure validated data across the enterprise to improve asset reliability. Empower the operator to make better decisions. Detect threats made to operational data to ensure operational resilience. Accurately monitor & report sustainability metrics. -
45
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. -
46
YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
47
DQOps
DQOps
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.Starting Price: $499 per month -
48
PathWave Manufacturing Analytics
Keysight Technologies
Combining test and measurement expertise with data science and big data engineering, the PathWave Manufacturing Analytics platform provides actionable insights for every level in your organization in the smart factory of the future. Improve yield, lower retest and handling, and lower the cost of poor quality with big data advanced analytics that really works. Accelerate your Return on Investment and business outcomes with unique, innovative analytics. Predict potential quality issues in real-time manufacturing with optimized machine learning anomaly detection models. Save the workspace and see your own personalized dashboard on demand, real-time from anywhere. Use no-code specially curated diagnostic tools and visualizations for all levels of operators, technicians and engineers. -
49
ManageEngine CloudSpend
ManageEngine
ManageEngine CloudSpend is a cloud cost management tool designed to help organizations optimize their cloud expenditures across AWS, Azure, and Google Cloud Platform (GCP). It offers real-time insights into cloud spending, enabling businesses to implement best practices such as chargebacks, capacity reservations, and resource rightsizing. Key features include Business Units for cost accountability, budget creation with alerts, and detailed spend analysis by service, region, and account. Additionally, CloudSpend provides AI-driven anomaly detection to identify unexpected cost spikes and offers recommendations for cost optimization. With its user-friendly interface and comprehensive reporting capabilities, CloudSpend empowers organizations to achieve greater financial control and efficiency in their cloud operations.Starting Price: 1% of cloud bill -
50
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
