Alternatives to Qualytics

QRA’s tools streamline engineering artifact generation, evaluation, and prediction, refocusing engineers from tedious work to critical path development. Our solutions automate the creation of risk-free project artifacts for high-stakes engineering. Engineers often spend excessive time on the mundane task of refining requirements, with quality metrics varying across industries. QVscribe, QRA's flagship product, streamlines this by automatically consolidating these metrics and applying them to your documentation, identifying risks, errors, and ambiguities. This efficiency allows engineers to focus on more complex challenges. To further simplify requirement authoring, QRA introduced a pioneering five-point scoring system that instills confidence in engineers. A perfect score confirms accurate structure and phrasing, while lower scores prompt corrective guidance. This feature not only refines current requirements but also reduces common errors and enhances authoring skills over time.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Digna is a solution powered by AI that addresses the challenges of data quality management in modern times. It is domain agnostic and can be used in a variety of sectors, including finance and healthcare. Digna prioritizes privacy and ensures compliance with stringent regulations. It's also built to scale and grow with your data infrastructure. Digna is flexible enough to be installed on-premises or in the cloud, and it aligns with your organization's needs and security policies. Digna is at the forefront of data quality solutions. Its user-friendly design, combined with powerful AI analytics, makes Digna an ideal solution for businesses looking to improve data quality. Digna's seamless integration, real time monitoring, and adaptability make it more than just a tool. It is a partner on your journey to impeccable data quality.

Get a clear view of your data assets: popularity, usage, and schema coverage. Get important insights into your data assets, such as popularity and utilization. Find and filter data based on tags and descriptions in metadata. Get valuable insights about your data assets, such as popularity, usage, quality, and schema cover. Drive data governance and ownership throughout your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Lineage maps are automatically generated at the field level to help understand the entire data ecosystem. Anomaly detection is based on your data and seasonality patterns. It uses automatic backfilling from historical data. Machine learning thresholds are trained for each data segment and not just metadata.

Supervizor's continuous Quality Assurance helps you to eliminate fraud and errors with its unparalleled anomaly detection. We are on a quest to help corporations produce accurate financial data. Supervizor offers corporations unique anomaly detection capabilities that can identify several types (including accounting errors) and fraud attempts. Organizations are faced with a growing number fraud schemes and errors that are caused by processes and people. Connect your ERP to Supervizor and let it consolidate journal entries based on our library of millions accounting patterns. Run ready-to-use tests continuously across multiple areas. Work together to ensure the quality of financial data across departments, systems, subsidiaries, and geographical areas. Automates the extraction and preparation of your data, saving you time by avoiding manual gathering, scrubbing and formatting. Identifies your most risky findings and prioritizes them for investigation, intelligently minimizing the number of false positives.

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

TYPO is a data-quality solution that corrects errors at the point of entry to information systems. Typo uses AI to detect errors at the point of entry, rather than reactive tools that try to fix data errors after they have been saved. This allows for immediate corrections before they are stored and propagated into downstream systems and reports. Typo can be used in web apps, mobile apps, devices, and data integration tools. Typo can inspect data in motion as it enters an enterprise or at rest after storage. Typo provides complete oversight of data origins, points of entry and exit into information systems, including devices and APIs. The user is notified when an error is detected and given the chance to correct it. Typo uses machine learning algorithms for detecting errors. It is not necessary to implement and maintain data rules.

No more data catalog ghost cities. Acryl Cloud accelerates time-to-value for data producers through Shift Left practices and an intuitive user interface for data consumers. Continuously detect data-quality incidents in real time, automate anomaly detecting to prevent breakdowns, and drive quick resolution when they occur. Acryl Cloud supports both pull-based and push-based metadata ingestion to ensure information is reliable, current, and definitive. Data should be operational. Automated Metadata Tests can be used to uncover new insights and areas for improvement. They go beyond simple visibility. Reduce confusion and speed up resolution with clear asset ownership and automatic detection. Streamlined alerts and time-based traceability are also available.

Deep Text Inspection, anomaly detection and clustering. Cutting-edge AI that scans log data and streams insights, alerts. ML clustering detects new errors, unique risk KPI, and more. Pattern recognition and discovery. Anomaly detection for data and risk monitoring. Integration with Logstash and ELK, among others. AiOpsX can be deployed quickly on any log data. It also augments existing monitoring and log analysis tools with millions smart eyes. Security, performance audit, errors & issues, trends, anomalies, security, and more! Unique algorithms detect patterns and calculate risk levels. Anomaly detection continually scans performance and risk data to find outliers. The AiOpsX monitoring engine detects new types and errors, log volume changes, risk levels spikes, and triggers alerts and reports for IT monitoring teams.

Azure AI anomaly detection can help you predict problems before they happen. You can easily embed time-series abnormality detection capabilities into apps to help users quickly identify problems. AI Anomaly Detector ingests all types of time-series data and selects the most accurate anomaly detection algorithm to ensure high accuracy. Detect spikes, dips and deviations from cyclic patterns through univariate or multivariate APIs. You can customize the service to detect anomalies of any level. You can deploy the anomaly detection service in the cloud, or at the intelligent edge. A powerful inference algorithm assesses your data and selects the best anomaly detection algorithm for your scenario. Automatic detection eliminates the requirement for labeled data, allowing you to save time and focus on fixing problems as they arise.

NEMESIS: Next generation AI-powered anomaly detection technology that detects fraud and waste. NEMESIS: Next generation AI-powered anomaly detector technology that pinpoints efficiency opportunities within your business management systems. NEMESIS, powered by AI, is an enterprise-ready configurable platform for business solutions that enables business analysts to quickly transform data into actionable insights. AI can solve problems such as overstaffing, medical errors and quality of care. NEMESIS's continuous process monitoring allows you to uncover a wide range risk elements. From predicting quality issues to detecting abuse and waste, NEMESIS can help you. Machine learning and AI can be used to detect fraud schemes and prevent them from draining your finances. Continuous visibility of waste and abuse will help you to keep your budget in check and prevent budget deviations.

Real-time anomaly detection helps you identify user behavior, actions, or a set actions by users that do not match an expected pattern in a dataset. You can generate expected patterns from historical data sets, idealistic datasets, or both. We are big on customization at Tatvic. Now you can determine if the sudden spike in traffic to your website or mobile app is caused by bots or spam, or if there is another factor. Real-time anomaly detection allows you to identify faults in your website, such as broken UX caused by new releases or changes in the website or app. Real-time anomaly detection is available for more complex websites. It allows you to track whether your website or app is running smoothly.

With one platform, you can achieve your net zero vision. Edge Gateways and IoT Gateways allow you to access real-time data from sensors and automation systems on energy, water, and emission. Automated workflows, data scheduling, and data collection to collect data quickly and accurately. Acquire data across your value chain. Our powerful API and third party integrations allow you to consolidate all your sustainability data in one place. Auditable record of all data generation, corrections, and requests for change. Anomaly detection and automated data checks to ensure your data is clean and disclose-worthy. For manual and automated data correction, set up workflows, permissions, and validation rules.

Bedrock Security offers frictionless data protection, allowing you to embrace cloud-based and AI-based data growth without slowing down your business. Begin your data security journey and confidently move past just visibility. Understanding your material data using AI reasoning, and ensuring cloud and GenAI compliance is enforced by out-of-the box compliance frameworks. You must perform continuous security assessments because your data is not static. It's constantly changing, growing, and moving. Integrate behavior-based anomaly detectors, SIEM/SOAR Integration, policy enforcement and prioritization of data context to efficiently manage remediation and responses. Mature security programs enable frictionless business operations, while managing risks to the brand, revenue and reputation of an organization. Bedrock's AIR can help organizations with data minimization and identity and access minimization.

No login, no app, no hassle. One-click seamless sourcing in your suppliers' inbox. Embedded with real-time predictive information. Our flexible data model is applicable to all types of spend. Arkestro can source any item that you can source in Excel. Predictive anomaly detection detects and corrects errors before they reach procurement. Role-based access simplifies the project management of sourcing events and allows any stakeholder to receive updates. Arkestro's sourcing events learn from the behavior of your supplier to reduce cycle times. You can easily access any number of award scenarios via email, regardless of the complexity or size of your sourcing events. There are many errors in supplier quotes due to data entry and copy-paste. A number of pivot tables are required to check the status of a sourcing cycle. New sourcing cycles can't learn from previous cycles' supplier quotes. Our pricing simulator will generate instant suggestions for suppliers to modify and submit.

Predictive analytics can be used to drive business value. Improve processes and make informed decisions. Create predictive models for faster and more accurate forecasting and anomaly detection. TIM InstantML is a hyperautomated, augmented solution for machine learning for time series data to improve forecasting, anomaly detecting, and classification. TIM helps you discover the value of your data, and enables you leverage the power of prediction analytics. Automatic feature engineering of high quality while simultaneously adapting model structure and parameters. TIM offers flexible deployment options. Easy integration with your favorite platforms. TIM offers a variety of interfaces. TIM Studio offers a streamlined graphical user interface. With powerful, automated predictive analytics, you can become truly data-driven. Discover the predictive value of your data faster and more easily.

Our Managed Detection & Response (MDR), service is designed to detect, threat hunt, anomaly detection, and response guidance. It uses a defense-in depth approach that monitors and correlates network activity, logs, and all other information. Our service is not like a traditional Managed Security Service Provider, (MSSP). It is designed to prevent future attacks. To identify threats in your environment, we use the most recent in cloud, big-data analytics technology and machine learning. To provide the highest level of monitoring, we use the best commercial, open-source, and internal tools and methods. We have partnered with Cylance to provide the best endpoint threat detection and prevention capability available on the market today, CylancePROTECT(™).

Nazar was developed from our need to manage multiple databases in hybrid or multi-cloud environments. It is ready to use for main database engines and completely eliminates needing multiple tools. It makes it easy and efficient to set up new servers on the platform. You can get a standardized view of the behavior of your database from a single dashboard. This is a great way to avoid having to use multiple tools that have completely different views and metrics. It is not easy to set up, trace and investigate logs and query data dictionaries each time. Nazar monitors the DBMS resources and does not require agents to do so. NAZAR automates anomaly identification and root-cause analysis. This reduces mean time to resolution (MTTR). It also detects issues to avoid potential incidents that could impact peak application and business performance.

A low-code no-code approach to data quality. SaaS offers flexibility, affordability, ease-of-integration, and efficient support. High standards for encryption, identity management and role-based access control. Data governance and compliance standards. Advanced ML models for detecting row-value data anomalies. The models will adapt to the business and data requirements of users. You can add any number of data sources, records, or attributes. For unpredictable volume spikes, well-equipped. Support streaming and batch processing. Data is continuously monitored to provide real-time notification, with no impact on pipeline performance. Easy boarding, integration, investigation. Telmai is a platform that allows Data Teams to detect and investigate anomalies in real-time. No-code on-boarding. Connect to your data source, and select alerting channels. Telmai will automatically learn data and alert you if there are unexpected drifts.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

Your one-touch copilot to data quality, spend, performance and usage. Your data team will not be the last one to learn about bottlenecks or broken analytics. We detect anomalies and alert users immediately. Eliminate downtimes and improve data quality. You'll be the one to know when performance starts to trend in the wrong direction. We help you make the connection between data usage, resource allocation and cost. Reduce costs and allocate resources efficiently. We can slice and dice spending by warehouse, user and query. You will be notified when spending starts to trend in the wrong direction. Get insights into the impact of underutilized data on your business. Revefi is constantly on the lookout for waste and will alert you to opportunities that can be better rationalized. With automated data monitoring built into your data warehouse, you can say goodbye to manual data checking. You can solve problems and find the root causes within minutes, before they impact your downstream users.

Empower enterprise data teams with the ability to prevent costly outages before they happen. With efficient time-bound queries, you can quickly scale data quality checks throughout enterprise data pipelines without compromising performance. Utilizing AI models that are specific to DQ, you can monitor and identify data anomalies without having to manually set thresholds. Lightup's solution provides you with the highest level of data quality so you can make confident decisions. Data quality intelligence will help you make confident decisions. Dashboards that are flexible and powerful provide transparency on data quality and trends. Lightup's built in connectors allow you to connect seamlessly to any data source within your data stack. Replace manual, resource-intensive data quality checks with automated ones to streamline workflows.

Monitor your data health, and monitor your pipeline performance. Get unified visibility for all pipelines that use cloud-native tools such as Apache Spark, Snowflake and BigQuery. A platform for Data Engineers that provides observability. Data engineering is becoming more complex as business stakeholders demand it. Databand can help you catch-up. More pipelines, more complexity. Data engineers are working with more complex infrastructure and pushing for faster release speeds. It is more difficult to understand why a process failed, why it is running late, and how changes impact the quality of data outputs. Data consumers are frustrated by inconsistent results, model performance, delays in data delivery, and other issues. A lack of transparency and trust in data delivery can lead to confusion about the exact source of the data. Pipeline logs, data quality metrics, and errors are all captured and stored in separate, isolated systems.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

Intelligent Threat Detection. Faster response. Active Directory is the root cause of 98% of all security threats. Nearly all of these threats involve data compromises on enterprise data storage. Our unique combination of detailed auditing and anomaly detection, real-time alerting, real-time data discovery and classification makes it easy to quickly identify, prioritize, and investigate threats. Protect sensitive data from rogue users and compromised user accounts. Our technology allows you to detect and investigate data threats to your most sensitive data like no other vendor. Data classification and data discovery are combined with threat detection to allow you to examine all events, changes and actions with context. You have complete visibility of Active Directory, Group Policy and File Servers, Office 365. NetApp, SharePoint. Box, Dropbox, Office 365. Security threats 10x faster detected and responded to Active Directory allows you to track movements and investigate threats as soon as they arise.

IBM Z Anomaly Analytics software provides intelligent anomaly detection, grouping and identifying operational issues within your enterprise environment. IBM Z Anomaly Analytics builds a model based on historical IBM Z logs and metrics. The model is then used to score real-time data in order to detect anomalous behaviors. A correlation algorithm groups and analyses anomalous events in order to alert operations teams of emerging issues. In today's digital world, your essential services and applications need to be always available. With the increasing costs, skills shortages and changing user habits, detecting and determining hybrid application issues is becoming more complex for enterprises using hybrid applications. By detecting anomalies, you can identify operational issues and prevent costly incidents.

With powerful AI capabilities, you can inspect energy infrastructure efficiently and accurately with a robust software platform. It includes REST APIs, analytics and work prioritization. Optimize your inspection for maximum accuracy. PowerAI makes inspections more efficient, cost-effective, and collaborative than ever. With AI-based visual processing, you can keep your community, people, and assets safe. Our AI-based anomaly detector redefines accuracy and consistency with the most accurate visual processing in the industry. This precision results in cost savings of 50-70% on data processing, visual anomaly detections and time savings of 50-60%. We offer the highest accuracy in the industry for detecting 27 different assets and anomalies. Our technology, powered by machine learning redefines accuracy and consistency for power infrastructure inspections.

Avoid complexity. Better decide. The SaaS solution to detect transport anomalies using AI. Transport planning with smart vision Smart transport vision provides global visibility, intelligent anomaly detection, and powerful ally for optimal decision making. Sightness' AI (Artificial Intelligence Technology) technology frees decision-makers of the complexity of freight transportation. It standardizes heterogeneous data and provides a synoptic, microscopic, and detailed view of the activity, as well as identifying anomalies. This allows you to create the right action plans. Modules that correspond to the three key components transport are available with Sightness: customer promise, costs, and environmental impact. Its functionalities allow it to meet both the business challenges of shippers and carriers. Integrate transport into your CSR program. Calculate your emissions, simulate the action plans and verify their correct functioning.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

Xygeni Security secures your software development and delivery with real-time threat detection and intelligent risk management. Specialized in ASPM. Xygeni's technologies automatically detect malicious code in real-time upon new and updated components publication, immediately notifying customers and quarantining affected components to prevent potential breaches. With extensive coverage spanning the entire Software Supply Chain—including Open Source components, CI/CD processes and infrastructure, Anomaly detection, Secret leakage, Infrastructure as Code (IaC), and Container security—Xygeni ensures robust protection for your software applications. Empower Your Developers: Xygeni Security safeguards your operations, allowing your team to focus on building and delivering secure software with confidence.

Even for privileged users, our blockchain-based technology does NOT allow audit trail deletions or changes. Many standards and regulations require audit trails to be completed: GDPR, PSD2, PCI–DSS, ISO 27001; HIPAA; SOX. Fraud attempts will be prevented by real-time analysis of all events and AI-driven anomaly detection. Straightforward agent- or agentless integration of all systems as well as simple RESTful API. A unified command center for real-time monitoring and insight across all users and systems. You can demonstrate compliance at a lower operational cost and reduce the effort required for audit, forensics, and fraud detection. We use blockchain to ensure that your data is secure and never compromised.

Amazon GuardDuty, a threat detection service, continuously monitors for malicious behavior and unauthorized behavior to protect AWS accounts, workloads and data stored in Amazon S3. Although the cloud makes it easier to collect and aggregate account and network activity, it can be difficult for security teams and staff to analyze log data for potential threats. GuardDuty is an intelligent and cost-effective solution for continuous threat detection in AWS. GuardDuty uses machine learning, anomaly detection and integrated threat intelligence to identify potential threats and prioritize them. GuardDuty analyses tens to billions of events from multiple AWS data sources such as AWS CloudTrail logs, Amazon VPC flow logs, and DNS logs. GuardDuty is easy to enable and maintain with just a few clicks from the AWS Management console.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.

Transform your domain operations using AI and automation to create an autonomous enterprise for greater resilience, assurance, customer satisfaction, and increased customer satisfaction. Digitate's ignio solves your operational problems for an agile, resilient and autonomous enterprise. Businesses can quickly adapt to change, evolve digitally, and unleash innovation to sustain their growth. ignio can transform your IT and business operations from reactive to proactive. Learn how enterprises can improve their IT operations strategy and business strategy to become an autonomous enterprise. Start your journey from traditional to automated to autonomous operations. Autonomous Operations, powered by AI and Machine Learning, allows enterprises to reduce manual effort, adapt to business and IT changes efficiently, and focus on innovation.

It is important to understand the quality, structure, and content of your data before making any business decisions. IBM® InfoSphere® Information Analyzer is a component to IBM InfoSphere Information Server that evaluates data structure and quality within and across heterogeneous environments. It uses a reusable rule library and supports multilevel evaluations by pattern and rule record. It allows you to manage exceptions to existing rules and helps you identify data inconsistencies, redundancies and anomalies.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Log management. Upgraded Honeycomb. Honeycomb is designed for modern developers to help them understand and improve their log management. You can quickly query system logs, metrics, and traces to find unknown unknowns. Interactive charts provide the most detailed view against raw, high-cardinality data. You can set Service Level Objectives (SLOs), based on what users are most interested in, to reduce noise alerts and prioritize work. Customers will be happy if you reduce on-call time, ship code faster, and minimize the amount of work required. Find the cause. Optimize your code. View your prod in high-res.

You can prevent data outages by identifying data quality issues and fixing them before they reach production. In less than a day, you can increase your test coverage for data pipelines from 0 to 100%. Automatic regression testing across billions upon billions of rows allows you to determine the impact of every code change. Automate change management, improve data literacy and compliance, and reduce incident response times. Don't be taken by surprise by data incidents. Automated anomaly detection allows you to be the first to know about them. Datafold's ML model, which can be easily adjusted by Datafold, adapts to seasonality or trend patterns in your data to create dynamic thresholds. You can save hours trying to understand data. The Data Catalog makes it easy to search for relevant data, fields, or explore distributions with an intuitive UI. Interactive full-text search, data profiling and consolidation of metadata all in one place.

Only Data Observability platform that allows complete control over enterprise data systems. Comprehensive, cross-sectional visibility of complex, interconnected data systems. Synthesizes signals across workloads and data quality, security, infrastructure, and security. Data processing and operational efficiency are improved. Automates data quality monitoring from start to finish for rapidly changing and mutable datasets. Acceldata offers a single window to identify, predict, and fix data problems. Complete data issues can be fixed in real-time. You can observe the flow of business data from one pane of glass. Find anomalies in interconnected data pipelines.

We are a leader for Data Quality & ML Models for enterprises adopting a modern data management ecosystem, multi-cloud and ML. Algorithms for tracking Data Anomalies in Azure GCP and AWS databases. Measure and monitor data issues across all cloud database management tools, data silos and data silos using a single centralized tool. Quality is in the eyes of the beholder. Data issues can have different implications depending where you are in the enterprise. Qualdo was the first to organize all data quality issues from the perspective of multiple enterprise stakeholders and present a unified view. Use powerful auto-resolution algorithms for tracking and isolating critical data issues. Use robust reports and alerts for managing your enterprise regulatory compliance.

Enhance monitoring, visualization, remediation, reconciliation, and reconciliation to improve the quality of your data at-rest and in-motion. Data quality should be part of your company's DNA. To get a complete view of your data's journey throughout your organization, no matter where it is located, go beyond the basic quality checks. Continuous quality monitoring and point to-point reconciliation are essential for building trust in data and providing consistent insights. Data360 DQ+ automates data quality monitoring across the entire data supply chain, starting at the point information enters your organization. This allows you to monitor data in motion. Operational data quality includes validating counts and amounts across multiple sources and tracking timeliness to meet external or internal SLAs. Also, checks to ensure totals remain within set limits are examples.

You can monitor all tags in real-time, on all devices and browsers. The DataLayer Guard monitors dataLayer in real-time and catches issues before they impact your business. Real-time alerts notify you of any errors in data collection, ensuring that you do not miss any valuable data from your marketing or analytics tools.

Our data quality management solutions can be relied upon whether you are preparing for a migration or looking to gain reliable customer insight. WHAT DOES DATA QUALITY-MANAGEMENT MEAN? Experian offers powerful data profiling, data discovery and data cleansing and enrichment. Process orchestration is also possible. Full-volume analyses can also be performed with Experian. It's now easier than ever to gain insight into your business data. Our solutions enable you to connect seamlessly to hundreds of data sources to eliminate duplicates, correct errors, standardize formats, and remove duplicates. You will have a better understanding of your customers and business operations if you have better data quality.

According to industry experts, up to 20% of a company's contact list contains bad data. This can lead to bounced emails, returned mail, address correction fees and wasted sales and marketing efforts. The Data Quality Suite can be used to standardize, verify, and correct all contact data. This includes postal address, email address and phone number. It is essential for efficient communications and business operations. Verify, standardize and transliterate addresses from more than 240 countries. Intelligent recognition can identify 650,000+ ethnically diverse first and last names. Authenticate phone numbers and geo-data to ensure that mobile numbers are available and callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite allows organizations of all sizes to verify and maintain data in order to communicate effectively with customers via email, postal mail, or phone.

Customer data is everywhere: on our phones, in social media, in IoT, in CRM, ERP and marketing. The amount of data that companies collect is staggering... The data companies capture is overwhelming... Data that is uncontrolled and of low quality can cause a company to become disorganized, putting its growth at risk. All processes in a business should be synchronized around customer data. It is vital to ensure that the data is always reliable and accessible. DQE One is a solution for all departments that leverage customer data. Data of high quality ensures that every decision is made with confidence. Contact information from different sources is piled up in the company's database. The customer database needs to be maintained and qualified for use as a reliable repository, even if it contains data entry errors, incorrect information or gaps.

Vertify's Data Quality Analysis provides a preview of marketing's greatest asset, its contact database. The Synthio – by Vertify Data Quality Analysis provides a preview of marketing's greatest asset: the contact database. The DQA will provide you with an overview of your email addresses and tell you how many of your contacts have moved to a new company. It also allows you to see the potential number of contacts you might be missing in your marketing database. Synthio by Vertify integrates with top CRM and MAP systems for data cleansing, enrichment and origination.

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

Data plays an important role in many areas of a company, including sales, marketing, and finance. Data must be managed throughout its life cycle to get the most out of it. Uniserv's core philosophy and the products it offers is data quality. Our customized solutions make your customer master information the success factor for your company. The Data Quality Service Hub ensures that customer data quality is high at all levels of your company, including international. We can correct your address information according international standards and based upon first-class reference data. We can also check bank data, telephone numbers, and email addresses at different levels. We can search your data for redundant items based on your business rules. These items can be consolidated automatically using prescribed rules or manually sorted for reprocessing.