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Ratings and Reviews 0 Ratings
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KrakenDDesigned for optimal performance and effective resource management, KrakenD is capable of handling an impressive 70,000 requests per second with just a single instance. Its stateless architecture promotes effortless scalability, eliminating the challenges associated with database maintenance or node synchronization. When it comes to features, KrakenD excels as a versatile solution. It supports a variety of protocols and API specifications, providing detailed access control, data transformation, and caching options. An exceptional aspect of its functionality is the Backend For Frontend pattern, which harmonizes multiple API requests into a unified response, thereby enhancing the client experience. On the security side, KrakenD adheres to OWASP standards and is agnostic to data types, facilitating compliance with various regulations. Its user-friendly nature is bolstered by a declarative configuration and seamless integration with third-party tools. Furthermore, with its community-driven open-source edition and clear pricing structure, KrakenD stands out as the preferred API Gateway for enterprises that prioritize both performance and scalability without compromise, making it a vital asset in today's digital landscape.
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What is Hybrid Data Pipeline?
The Hybrid Data Pipeline emerges as the top choice for organizations that recognize that their methods of accessing and using data are crucial for achieving a competitive advantage in the current landscape. It boasts a comprehensive array of data connectors and significantly improves data management through identity-based access controls that cater to both teams and individual users, along with universal client connectivity options like ODBC, JDBC, OData, and REST. As companies deal with complex hybrid data environments shaped by corporate compliance requirements, maintaining clear oversight on data access while managing the escalating costs tied to data management, security, and compliance can become quite daunting. The Hybrid Data Pipeline by DataDirect alleviates these challenges by offering a streamlined gateway that allows for access control without necessitating the sharing of database credentials or the hassle of local installation management. Additionally, the platform excels in identity management by enabling organizations to efficiently provision data sources and oversee user and role-based access, ultimately resulting in enhanced security and governance. With this cutting-edge solution, businesses can not only optimize their data management processes but also ensure that compliance and security are upheld in a more effective manner. As organizations increasingly prioritize data-driven decision-making, leveraging such solutions will become integral to their operational strategies.
What is Denodo?
The core technology driving modern data integration and management solutions is engineered to quickly connect a variety of both structured and unstructured data sources. This technology facilitates the thorough cataloging of your entire data landscape, ensuring that information stays within its original repositories and is accessed only when necessary, thus removing the need for redundant copies. Users have the ability to create data models that suit their specific requirements, even when utilizing diverse data sources, while simultaneously keeping the complexities of backend systems hidden from the end users. Access to the virtual model is securely provided through standard SQL as well as other formats like REST, SOAP, and OData, making it easier to reach a wide range of data types. It boasts comprehensive capabilities for data integration and modeling, supplemented by an Active Data Catalog that supports self-service for exploring and preparing data and metadata. In addition, this technology includes strong measures for data security and governance, ensures quick and intelligent execution of data queries, and offers real-time delivery of data in multiple formats. The solution also encourages the creation of data marketplaces and effectively separates business applications from data systems, which fosters more informed, data-driven decision-making processes. As a result, this cutting-edge approach significantly improves the agility and responsiveness of organizations in managing their data resources, allowing them to adapt swiftly to changing business needs. Ultimately, it empowers businesses to leverage their data assets more effectively than ever before.
Integrations Supported
AWS Elastic Load Balancing
Azure Marketplace
Cloudera
DigDash
Google Cloud Platform
Inverbis
Microsoft Azure
MongoDB
OAuth
OvalEdge
Integrations Supported
AWS Elastic Load Balancing
Azure Marketplace
Cloudera
DigDash
Google Cloud Platform
Inverbis
Microsoft Azure
MongoDB
OAuth
OvalEdge
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
Progress
Date Founded
1981
Company Location
United States
Company Website
www.progress.com/connectors/cloud-data-integration
Company Facts
Organization Name
Denodo Technologies
Date Founded
1999
Company Location
United States
Company Website
www.denodo.com/en
Categories and Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
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
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services