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D&B HooversD&B Hoovers accelerates the journey from prospecting to establishing profitable client relationships more efficiently. By identifying crucial prospects and potential areas for growth, it serves as a powerful sales acceleration tool that leverages data and analytics. B2B sales professionals can engage with clients swiftly, enhancing their business development efforts. With access to comprehensive intelligence across more than 120 million business records, users gain valuable insights that empower their marketing and sales strategies. The platform features an intuitive interface alongside automated workflows, including alerts, triggers, and smart lists, which simplify the user experience. Furthermore, D&B Hoovers merges Dun & Bradstreet's extensive commercial database with advanced analytics to deliver a robust sales intelligence solution. This service also offers versatile search and list-building capabilities, real-time alerts, in-depth company profiles, and insightful research reports to support informed decision-making in the sales process. Overall, D&B Hoovers positions your organization for success by enhancing the efficiency and effectiveness of your sales efforts.
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WizWiz introduces a novel strategy for cloud security by identifying critical risks and potential entry points across various multi-cloud settings. It enables the discovery of all lateral movement threats, including private keys that can access both production and development areas. Vulnerabilities and unpatched software can be scanned within your workloads for proactive security measures. Additionally, it provides a thorough inventory of all services and software operating within your cloud ecosystems, detailing their versions and packages. The platform allows you to cross-check all keys associated with your workloads against their permissions in the cloud environment. Through an exhaustive evaluation of your cloud network, even those obscured by multiple hops, you can identify which resources are exposed to the internet. Furthermore, it enables you to benchmark your configurations against industry standards and best practices for cloud infrastructure, Kubernetes, and virtual machine operating systems, ensuring a comprehensive security posture. Ultimately, this thorough analysis makes it easier to maintain robust security and compliance across all your cloud deployments.
What is Weaviate?
Weaviate is an open-source vector database designed to help users efficiently manage data objects and vector embeddings generated from their preferred machine learning models, with the capability to scale seamlessly to handle billions of items. Users have the option to import their own vectors or make use of the provided vectorization modules, allowing for the indexing of extensive data sets that facilitate effective searching. By incorporating a variety of search techniques, including both keyword-focused and vector-based methods, Weaviate delivers an advanced search experience. Integrating large language models like GPT-3 can significantly improve search results, paving the way for next-generation search functionalities. In addition to its impressive search features, Weaviate's sophisticated vector database enables a wide range of innovative applications. Users can perform swift pure vector similarity searches across both raw vectors and data objects, even with filters in place to refine results. The ability to combine keyword searches with vector methods ensures optimal outcomes, while the integration of generative models with their data empowers users to undertake complex tasks such as engaging in Q&A sessions over their datasets. This capability not only enhances the user's search experience but also opens up new avenues for creativity in application development, making Weaviate a versatile tool in the realm of data management and search technology. Ultimately, Weaviate stands out as a platform that not only improves search functionalities but also fosters innovation in how applications are built and utilized.
What is Vald?
Vald is an advanced and scalable distributed search engine specifically optimized for swift approximate nearest neighbor searches of dense vectors. Utilizing a Cloud-Native framework, it incorporates the fast ANN Algorithm NGT to effectively identify neighboring vectors. With functionalities such as automatic vector indexing and backup capabilities, Vald can effortlessly manage searches through billions of feature vectors. The platform is designed to be user-friendly, offering a wealth of features along with extensive customization options tailored to diverse requirements.
In contrast to conventional graph systems that necessitate locking during the indexing process, which can disrupt operations, Vald utilizes a distributed index graph that enables it to continue functioning even while indexing is underway. Furthermore, Vald features a highly adaptable Ingress/Egress filter that integrates seamlessly with the gRPC interface, adding to its versatility. It is also engineered for horizontal scalability concerning both memory and CPU resources, effectively catering to varying workload demands. Importantly, Vald includes automatic backup options utilizing Object Storage or Persistent Volume, ensuring dependable disaster recovery mechanisms for users. This unique combination of sophisticated features and adaptability positions Vald as an exceptional option for developers and organizations seeking robust search solutions, making it an attractive choice in the competitive landscape of search engines.
Integrations Supported
IBM watsonx.data
Amazon Web Services (AWS)
Assembly
Cognee
Coral
Diaflow
Docker
GPT-3.5
Google Cloud Platform
Haystack
Integrations Supported
IBM watsonx.data
Amazon Web Services (AWS)
Assembly
Cognee
Coral
Diaflow
Docker
GPT-3.5
Google Cloud Platform
Haystack
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Free
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
Weaviate
Date Founded
2019
Company Location
The Netherlands
Company Website
weaviate.io
Company Facts
Organization Name
Vald
Company Website
vald.vdaas.org