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Ratings and Reviews 0 Ratings
Alternatives to Consider
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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D&B ConnectMaximizing the value of your first-party data is essential for success. D&B Connect offers a customizable master data management solution that is self-service and capable of scaling to meet your needs. With D&B Connect's suite of products, you can break down data silos and unify your information into one cohesive platform. Our extensive database, featuring hundreds of millions of records, allows for the enhancement, cleansing, and benchmarking of your data assets. This results in a unified source of truth that enables teams to make informed business decisions with confidence. When you utilize reliable data, you pave the way for growth while minimizing risks. A robust data foundation empowers your sales and marketing teams to effectively align territories by providing a comprehensive overview of account relationships. This not only reduces internal conflicts and misunderstandings stemming from inadequate or flawed data but also enhances segmentation and targeting efforts. Furthermore, it leads to improved personalization and the quality of leads generated from marketing efforts, ultimately boosting the accuracy of reporting and return on investment analysis as well. By integrating trusted data, your organization can position itself for sustainable success and strategic growth.
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DataHubDataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.
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dbtdbt Labs is the leading analytics engineering platform for modern businesses. By combining the simplicity of SQL with the rigor of software development, dbt allows teams to: - Build, test, and document reliable data pipelines - Deploy transformations at scale with version control and CI/CD - Ensure data quality and governance across the business Trusted by thousands of companies worldwide, dbt Labs enables faster decision-making, reduces risk, and maximizes the value of your cloud data warehouse. If your organization depends on timely, accurate insights, dbt is the foundation for delivering them.
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SatoriSatori is an innovative Data Security Platform (DSP) designed to facilitate self-service data access and analytics for businesses that rely heavily on data. Users of Satori benefit from a dedicated personal data portal, where they can effortlessly view and access all available datasets, resulting in a significant reduction in the time it takes for data consumers to obtain data from weeks to mere seconds. The platform smartly implements the necessary security and access policies, which helps to minimize the need for manual data engineering tasks. Through a single, centralized console, Satori effectively manages various aspects such as access control, permissions, security measures, and compliance regulations. Additionally, it continuously monitors and classifies sensitive information across all types of data storage—including databases, data lakes, and data warehouses—while dynamically tracking how data is utilized and enforcing applicable security policies. As a result, Satori empowers organizations to scale their data usage throughout the enterprise, all while ensuring adherence to stringent data security and compliance standards, fostering a culture of data-driven decision-making.
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Semarchy xDMExplore Semarchy’s adaptable unified data platform to enhance decision-making across your entire organization. Using xDM, you can uncover, regulate, enrich, clarify, and oversee your data effectively. Quickly produce data-driven applications through automated master data management and convert raw data into valuable insights with xDM. The user-friendly interfaces facilitate the swift development and implementation of applications that are rich in data. Automation enables the rapid creation of applications tailored to your unique needs, while the agile platform allows for the quick expansion or adaptation of data applications as requirements change. This flexibility ensures that your organization can stay ahead in a rapidly evolving business landscape.
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KubitWarehouse-Native Customer Journey Analytics—No Black Boxes. Total Transparency. Kubit is the leading customer journey analytics platform, purpose-built for product, data, and marketing teams that need self-service insights, real-time data visibility, and complete control—without engineering bottlenecks or vendor lock-in. Unlike legacy analytics solutions, Kubit is natively integrated with your cloud data warehouse (Snowflake, BigQuery, Databricks), so you can analyze customer behavior and user journeys directly at the source. No data exports. No hidden models. No black-box limitations. With out-of-the-box capabilities for funnel analysis, retention metrics, user pathing, and cohort analysis, Kubit delivers actionable insights across the full customer lifecycle. Layer in real-time anomaly detection and exploratory analytics to move faster, optimize performance, and drive user engagement. Leading brands like Paramount, TelevisaUnivision, and Miro rely on Kubit for its flexibility, enterprise-grade governance, and best-in-class customer support. See why Kubit is redefining customer journey analytics at kubit.ai
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Airlock DigitalAirlock Digital provides application control and allowlisting, used by organizations worldwide to protect against ransomware, malware and other cyber threats. Our deny by default solution enables customers to run only the applications and files they trust, with all others blocked from executing. This approach minimizes attack surfaces and helps organizations align their cybersecurity strategies with government frameworks and standards. By securing endpoints running legacy and new versions of Windows, macOS and Linux, we extend protection across IT and operational technology environments. Airlock Digital delivers endpoint protection to financial services, government, healthcare, manufacturing and other industry organizations of all sizes.
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Altium DevelopAltium Develop brings together engineers, developers, and manufacturing partners in a single connected workspace. By integrating design tools with real-time collaboration, it ensures that every stakeholder—from hardware and software teams to supply chain managers—can contribute at the right moment. The platform eliminates silos by linking requirements, component data, and production insights directly to the design process. With early visibility and seamless feedback loops, organizations can reduce errors, cut rework costs, and move from idea to finished product more efficiently.
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c/sideEffectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers, while also boosting script efficiency by as much as 30%. The uncontrolled existence of these scripts within users' browsers can lead to major complications when issues arise, resulting in negative publicity, possible legal repercussions, and claims for damages due to security violations. Organizations that manage cardholder information must adhere to PCI DSS 4.0 requirements, specifically sections 6.4.3 and 11.6.1, which mandate the implementation of tamper-detection mechanisms by March 31, 2025, to avert attacks by alerting relevant parties of unauthorized changes to HTTP headers and payment details. c/side is distinguished as the only fully autonomous detection system focused on assessing third-party scripts, moving past a mere reliance on threat intelligence feeds or easily circumvented detection methods. Utilizing historical data and advanced artificial intelligence, c/side thoroughly evaluates the payloads and behaviors of scripts, taking a proactive approach to counter new threats. Our ongoing surveillance of numerous websites enables us to remain ahead of emerging attack methods, as we analyze all scripts to improve and strengthen our detection systems continually. This all-encompassing strategy not only protects your digital landscape but also cultivates increased assurance in the security of third-party integrations, fostering a safer online experience for users. Ultimately, embracing such robust monitoring practices can significantly enhance both the performance and security of web applications.
What is Lightup?
Empower your enterprise data teams to prevent costly outages before they occur. Quickly broaden the assessment of data quality throughout your enterprise data pipelines by employing efficient, time-sensitive pushdown queries that uphold performance benchmarks. Take a proactive approach to monitor and identify data anomalies by leveraging pre-built AI models designed specifically for data quality, which removes the necessity for manual threshold adjustments. Lightup’s ready-to-use solution guarantees that your data remains in peak condition, enabling confident business decision-making. Provide stakeholders with valuable data quality insights to support their decisions with assurance. The adaptable, feature-rich dashboards deliver clear insight into data quality and emerging patterns, enhancing your comprehension of the data landscape. Avoid the formation of data silos by utilizing Lightup's integrated connectors, which ensure smooth connections to any data source in your ecosystem. Boost operational efficiency by replacing tedious manual processes with automated data quality checks that are both accurate and reliable, thereby streamlining workflows and increasing overall productivity. By implementing these capabilities, organizations can not only adapt to changing data challenges but also capitalize on new opportunities as they arise, ensuring sustained growth and success. In doing so, they cultivate a resilient data strategy that positions them for future advancements.
What is Blazent?
Achieving an impressive 99% accuracy rate in your Configuration Management Database (CMDB) is essential, and maintaining this level consistently can significantly enhance operational efficiency. By drastically reducing the time needed to identify source systems for incidents, instantaneous resolution becomes possible, fostering a quicker response to issues. Ensuring complete visibility into risks and Service Level Agreement (SLA) exposure is crucial for effective management. Streamlining service billing processes helps to prevent underbilling and clawbacks while also minimizing manual efforts in billing and validation. Reducing maintenance and licensing costs associated with decommissioned and unsupported assets can lead to significant savings. Building trust and transparency is vital, as preventing major incidents and speeding up the resolution of outages strengthens stakeholder confidence. Addressing the complexities posed by Discovery tools while promoting integration throughout your IT ecosystem is necessary for improved functionality. Enhancing collaboration between IT Service Management (ITSM) and IT Operations Management (ITOM) allows for the merging of diverse IT data sets, which can create a more cohesive operational strategy. By securing a holistic understanding of your IT landscape through ongoing Configuration Item (CI) validation from a wide range of data sources, organizations can better manage their resources. Blazent stands out by ensuring exceptional data quality and reliability, delivering 100% accuracy across all aspects of your operations. Our commitment to transforming extensive IT and Operational Technology (OT) data into trusted information continually evolves to meet your organization's changing demands, reinforcing the importance of adaptability in today’s fast-paced technological environment.
Integrations Supported
Alation
Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Microsoft Azure
PagerDuty
Slack
Integrations Supported
Alation
Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Microsoft Azure
PagerDuty
Slack
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Lightup
Date Founded
2019
Company Location
United States
Company Website
www.lightup.ai/
Company Facts
Organization Name
Blazent
Date Founded
2000
Company Location
United States
Company Website
www.blazent.com
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management