EBizCharge
EBizCharge is the leading embedded payments application for businesses to accept payments directly inside QuickBooks, Microsoft Dynamics, NetSuite, SAP, Acumatica, and 100+ other business systems. Trusted by 20,000 companies, EBizCharge combines modern billing tools with integrated payment processing to help B2B companies get invoices paid faster, eliminate manual work, and keep payment data automatically synced to their ERP. Companies use EBizCharge to:
◉ Accept credit card, debit card, and ACH payments natively inside ERP, CRM, or eCommerce platforms
◉ Speed up collections with easy billing tools: payment links, online customer portal, recurring billing, saved cards, and more
◉ Improve security and reduce risk with PCI-compliance, encryption, tokenization, fraud protection, and certified by the PCI-Security Council
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HOW IT WORKS IN YOUR ERP, CRM, & E-COMMERCE PLATFORMS
EBizCharge integrates natively with your ERP, CRM, or e-commerce platform through certified software connections, so payments work directly inside the system you already use.
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FEATURES
• Email payment links
• Recurring billing
• Secure online customer payment portal
• Securely save cards
• EMV terminals
• Mobile payments
• Ability to surcharge
• Dedicated in-house support
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Couchbase
Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Couchbase connects and mobilizes your data, so you can power peak experiences, harness the power of AI and scale globally—all with less risk and lower overhead.
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Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems.
Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval.
Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters.
Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.
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Qdrant
Qdrant serves as a sophisticated vector similarity engine and database, functioning as an API service that enables the search for the closest high-dimensional vectors. By utilizing Qdrant, users can transform embeddings or neural network encoders into comprehensive applications designed for matching, searching, recommending, and far more. It also offers an OpenAPI v3 specification, which facilitates the generation of client libraries in virtually any programming language, along with pre-built clients for Python and other languages that come with enhanced features. One of its standout features is a distinct custom adaptation of the HNSW algorithm used for Approximate Nearest Neighbor Search, which allows for lightning-fast searches while enabling the application of search filters without diminishing the quality of the results. Furthermore, Qdrant supports additional payload data tied to vectors, enabling not only the storage of this payload but also the ability to filter search outcomes based on the values contained within that payload. This capability enhances the overall versatility of search operations, making it an invaluable tool for developers and data scientists alike.
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