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DragonflyDragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.
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MongoDB AtlasMongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.
What is Interlok?
Effortlessly connect and make use of APIs for older systems with minimal setup while also capturing and sending extensive data through real-time interchange without any development effort required. The integration framework in cloud environments can be administered more efficiently with simple and cohesive configurations, tackling a widespread issue that organizations of all sizes face when trying to integrate various systems and datasets. This integration challenge can arise in different scenarios, whether dealing with on-premise software, cloud solutions, or ensuring smooth interaction between diverse cloud services. The Adaptris Interlokâ„¢ Integration Framework operates on an event-driven architecture that enables designers to quickly connect multiple applications, communication protocols, and data formats, leading to a seamlessly integrated solution. It facilitates easy connections to numerous applications and accommodates a broad spectrum of data standards and communication methods. Moreover, the framework includes data caching capabilities, which significantly reduce latency when accessing slower or remote backend systems, thereby improving overall performance and operational efficiency. By simplifying the integration methodology, this framework makes it more attainable for organizations to maneuver through intricate technological environments, ultimately fostering innovation and adaptability in their operations.
What is Harbr?
Quickly generate data products from multiple sources without transferring the data, ensuring they are readily available to all while maintaining complete oversight. Create meaningful experiences that uncover value, while also strengthening your data mesh through smooth sharing, discovery, and governance across different areas. Promote teamwork and accelerate innovation by granting unified access to premium data products. Provide controlled access to AI models for each user, guaranteeing that data interactions with AI are managed to protect intellectual property. Optimize AI workflows to swiftly integrate and improve new features. Users can access and create data products directly within Snowflake, eliminating the complexities associated with moving data. Benefit from the ease of maximizing your data's potential, making it available for analysis without the need for centralized infrastructure or tools. Data products are designed to work seamlessly with various tools, ensuring governance is maintained while speeding up outcomes, thus creating a more productive data environment. This approach not only boosts collaboration but also empowers users to utilize data in more impactful ways, ultimately leading to enhanced decision-making across the organization. By fostering a culture of accessibility and innovation, organizations can stay ahead in a rapidly evolving data landscape.
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Azure Databricks
Google Cloud Platform
Looker
Microsoft Azure
Snowflake
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Azure Databricks
Google Cloud Platform
Looker
Microsoft Azure
Snowflake
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
Adaptris
Date Founded
1998
Company Location
United Kingdom
Company Website
www.adaptris.com/interlok/
Company Facts
Organization Name
Harbr
Date Founded
2017
Company Location
United Kingdom
Company Website
www.harbrdata.com
Categories and Features
iPaaS
AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge