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Alternatives to Consider
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AtlanWelcome to the modern data workspace, where discovering all your data assets, from tables to business intelligence reports, is made incredibly easy. Our sophisticated search technology, combined with an intuitive browsing interface, guarantees that finding the correct asset is straightforward. Atlan enhances the process of identifying low-quality data by automatically creating data quality profiles, which help users quickly recognize any existing issues. With capabilities such as automatic detection of variable types, analysis of frequency distributions, identification of missing values, and detection of outliers, Atlan addresses every facet of data quality management comprehensively. This platform streamlines the complexities associated with effectively governing and managing your data ecosystem. Furthermore, Atlan’s smart bots scrutinize SQL query histories to create data lineage maps and pinpoint personally identifiable information (PII), facilitating the development of dynamic access policies and ensuring robust governance. In addition, those who lack a technical background can easily conduct queries across multiple data lakes, warehouses, and databases thanks to our user-friendly, Excel-like query builder. Not only that, but seamless integrations with popular tools like Tableau and Jupyter also enhance collaboration around data, significantly changing the way teams collaborate and share insights. This comprehensive strategy not only empowers users but also cultivates a more data-driven culture across organizations, encouraging informed decision-making at every level. Ultimately, Atlan revolutionizes the way organizations interact with their data, paving the way for greater innovation and efficiency.
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AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
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dbtThe practices of version control, quality assurance, documentation, and modularity facilitate collaboration among data teams in a manner akin to that of software engineering groups. It is essential to treat analytics inaccuracies with the same degree of urgency as one would for defects in a functioning product. Much of the analytic process still relies on manual efforts, highlighting the need for workflows that can be executed with a single command. To enhance collaboration, data teams utilize dbt to encapsulate essential business logic, making it accessible throughout the organization for diverse applications such as reporting, machine learning, and operational activities. The implementation of continuous integration and continuous deployment (CI/CD) guarantees that changes to data models transition seamlessly through the development, staging, and production environments. Furthermore, dbt Cloud ensures reliability by providing consistent uptime and customizable service level agreements (SLAs) tailored to specific organizational requirements. This thorough methodology not only promotes reliability and efficiency but also cultivates a proactive culture within data operations that continuously seeks improvement.
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DittoDitto is the only mobile database that comes with built-in edge connectivity and offline resilience, allowing apps to sync data without depending on servers or continuous access to the cloud. As billions of mobile and edge devices—and the deskless workers using them—form the backbone of modern operations, organizations are running into the constraints of conventional cloud-first systems. Used by leaders like Chick-fil-A, Delta, Lufthansa, and Japan Airlines, Ditto is at the forefront of the edge-native movement, reshaping how businesses operate, sync, and stay connected beyond the cloud. By removing the need for external hardware, Ditto’s software-based networking lets companies develop faster, more fault-tolerant applications that perform even in disconnected environments—no cloud, server, or Wi-Fi required. Leveraging CRDTs and peer-to-peer mesh replication, Ditto allows developers to build robust, collaborative applications where data remains consistent and available to all users—even during complete offline scenarios. This ensures business-critical systems remain functional exactly when they’re needed most. Ditto follows an edge-native design philosophy. Unlike cloud-centric approaches, edge-native systems are optimized to run directly on mobile and edge devices. With Ditto, devices automatically discover and talk to each other, forming dynamic mesh networks instead of routing data through the cloud. The platform seamlessly handles complex connectivity across online and offline modes—Bluetooth, P2P Wi-Fi, LAN, Cellular, and more—to detect nearby devices and sync updates in real time.
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UTunnel VPN and ZTNAUTunnel Secure Access offers solutions including Cloud VPN, ZTNA, and Mesh Networking to facilitate secure remote connections and reliable network performance. ACCESS GATEWAY: Our Cloud VPN as a Service allows for the rapid deployment of VPN servers on either Cloud or On-Premise setups. By employing OpenVPN and IPSec protocols, it ensures secure remote connections complemented by policy-driven access controls, enabling businesses to establish a robust VPN network effortlessly. ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) feature revolutionizes secure interaction with internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can conveniently access these services via their web browsers without the necessity of any client-side applications. MESHCONNECT: This solution, combining Zero Trust Network Access (ZTNA) and mesh networking, offers detailed access controls tailored to specific business network resources and fosters the formation of secure, interconnected business networks for enhanced collaboration. SITE-TO-SITE VPN: Additionally, the Access Gateway allows for the establishment of secure IPSec Site-to-Site tunnels, which facilitate connections between UTunnel's VPN servers and other network infrastructure components like gateways, firewalls, routers, and unified threat management (UTM) systems, thereby enhancing overall network security. By integrating these features, UTunnel Secure Access is committed to providing comprehensive solutions that meet the evolving needs of modern businesses.
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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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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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FuelCloudFuelCloud is revolutionizing the fuel technology sector by developing advanced Fuel Management Systems designed for the oversight and administration of bulk fuel inventories. By leveraging four generations of expertise in the fuel industry alongside cutting-edge advancements in cloud computing and mobile technology, FuelCloud’s systems provide a level of control akin to cardlock systems but at more accessible prices. This combination results in a robust yet cost-effective solution that safeguards fuel against loss and theft, enhances reporting and management processes, and empowers users with comprehensive control over their fuel resources. Central to FuelCloud's offering is its cloud-based web portal, which enables managers to monitor transactions and tank levels, regulate fuel access permissions, and streamline the generation and distribution of reports. Additionally, this web portal seamlessly integrates bulk fuel data with existing fleet and business management platforms, facilitating a holistic view of fleet operations from the storage tank to the vehicle exhaust. This integration not only improves efficiency but also supports informed decision-making, ensuring that businesses can optimize their fuel usage effectively.
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DocketDocket is an innovative AI-powered sales enablement solution that consolidates fragmented go-to-market data into its proprietary Sales Knowledge Lake™, enabling powerful AI agents to deliver contextual expertise to website visitors and sales teams. Its AI-driven marketing assistant engages prospects in natural, human-like conversations to increase pipeline generation by 15%, while its AI sales engineer supports reps by instantly providing product insights, retrieving files, and creating tailored documents, boosting seller efficiency by 33%. Docket seamlessly integrates with over 100 tools across the revenue technology stack, allowing for rapid company-wide implementation in under a month. The platform is built on a reliable and scalable infrastructure that leads the market in accuracy, speed, and security, adhering to SOC 2 Type II, GDPR, and ISO 27001 standards. Customers such as ZoomInfo, Demandbase, and Whatfix report significant business impact including increased win rates, shorter sales cycles, and near-instant response times to sales queries. Docket provides clear confidence scores and citations for all answers, ensuring trust and reliability in decision-making. The platform’s viral adoption and ease of use have transformed sales enablement workflows and redefined team productivity. With continuous product innovation and a commitment to security, Docket empowers revenue leaders to scale faster and smarter. Users appreciate how the solution consolidates the workload previously handled by many, enabling focused and efficient selling. Overall, Docket accelerates revenue growth by turning traffic into pipeline and prospects into customers through intelligent, integrated AI assistance.
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OmegaCube ERPSince 1999, OmegaCube has been transforming business operations through innovative technology solutions. The company's flagship product, OmegaCube ERP, is a specialized enterprise resource management (ERP) system tailored specifically for the manufacturing and distribution sectors. This software effectively addresses the requirements of industries such as aerospace, automotive, metal fabrication, electronics, and medical devices. Designed to streamline workflows, it significantly enhances companies' operational efficiency. Furthermore, with our proprietary development studio, users can easily customize the software, develop their applications, and embed specific business rules with minimal coding effort. This flexibility allows employees to access the ERP system from any web browser or mobile device, regardless of their location. Additionally, the software can be deployed either on-premise or in the cloud, catering to diverse business needs. OmegaCube also provides the essential implementation expertise required for successful integration. Our reliable implementation strategy has empowered organizations of all sizes to achieve their strategic business objectives, fostering a culture of innovation and growth.
What is Fraxses?
A wide array of products exists to support businesses in achieving their objectives, but for organizations aiming to cultivate a data-driven culture while optimizing efficiency and reducing expenses, Fraxses stands out as the premier distributed data platform globally. With Fraxses, clients gain instant access to data, unlocking valuable insights through a solution that can implement either a data mesh or a data fabric architecture. Visualize a data mesh as a framework that interconnects diverse data sources, enabling them to function seamlessly as one integrated entity. Unlike other platforms that primarily focus on data integration and virtualization, Fraxses offers a decentralized architecture that distinguishes it from competitors. While Fraxses effectively supports traditional data integration techniques, the trend is shifting toward an innovative model where data is delivered directly to users, thereby negating the need for a centralized data lake or platform. This forward-thinking approach not only empowers users with greater autonomy but also enhances the ease of data access throughout the organization, fostering a more agile and responsive data environment. As businesses continue to evolve, embracing such innovative solutions becomes crucial for maintaining a competitive edge in the market.
What is Adaptigent?
Fabric enables a swift and effortless connection between your contemporary IT ecosystem and your essential data and transaction systems. The intricate nature of our IT infrastructures mirrors the complexities of the world we live in. CIOs frequently face a heightened level of system intricacy that becomes challenging to navigate after years of evolving market dynamics, technological advancements, and corporate mergers. This intricacy not only consumes a significant portion of IT budgets but also hampers organizations from effectively meeting real-time business demands. While it's unrealistic to expect an overnight resolution to this complexity, Adaptigent's Adaptive Integration Fabric serves as a safeguard, shielding your business from the challenges posed by your critical data sources. By utilizing this solution, you can fully harness the capabilities of your legacy systems, which are vital to your organization, all while mitigating the risks associated with their complexity. This approach not only fosters operational efficiency but also positions your company to adapt to future challenges with greater agility.
Integrations Supported
Microsoft Excel
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
Intenda
Date Founded
2001
Company Location
South Africa
Company Website
intenda.tech/fraxses/
Company Facts
Organization Name
Adaptigent
Date Founded
1982
Company Location
United States
Company Website
www.adaptigent.com
Categories and Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Categories and Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services