Databased allows leaders to quickly identify where their teams need coaching, without spending hours reviewing CRM reports. Visually analyzing CRM data around daily sales activities, skills, and outcomes, DataBased helps sales organizations methodically hit revenue targets by surfacing insights around rep performance. Through data-driven 1:1s, DataBased enables reps and leaders to make and keep commitments, increasing their likelihood of hitting quota.
As a result of Databased, sales teams are able to improve productivity, standardization, development, and goal-setting by making more informed decisions based on data.
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
InterSystems IRIS is a Complete Data Platform that gives you everything you need to capture, share, understand, and act upon your organization's most valuable asset: your data.
AWS Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud, making web-scale computing easier for developers.
Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.
DataFactZ is a data analytics firm specializing in AI and data science solutions. They offer comprehensive services in data engineering, analytics, and cloud implementations, transforming data-driven initiatives into scalable solutions across various industries.
Key Features and Functionality:
- Data Engineering: Expertise in data modeling, warehousing, integration, and governance to establish robust data infrastructures.
- Data Science: Utilization of machine learning, deep learning, and predictive analytics to extract actionable insights.
- Cloud Modernization: Tailored cloud strategies for scalable and cost-effective data management.
- AI Solutions: Development of AI agents for tasks like ETL code generation and enhancing call center operations.
Primary Value and Solutions:
DataFactZ empowers organizations to harness their data effectively, enabling informed decision-making and operational efficiency. By integrating advanced AI and data science techniques, they help businesses overcome data challenges, optimize processes, and achieve a competitive edge in their respective markets.
SAP SQL Anywhere SQL database management software keeps data synchronized with thousands of mobile devices or remote offices, so that all business users can access vital data – anytime, anywhere.
NLSQL works as NLP to SQL API without any sensitive or confidential data transfer outside company IT ecosystem. Client NLSQL App deploys on-premise services you need with a brand new Microsoft Teams and dedicated to your company Web App, including data visualisation, reporting and anomaly detection services. NLSQL model requires a few prerequisites such as database structure emulation at our self-service platform, KPIs intents calculation methodology mapping to specific columns. NLSQL administrators can configure the prerequisites online using simple questionary for each of the table after signup. Once you complete a NLSQL text to SQL API configuration, the system will generate unique API token for you. Later you have to use this API token for our Azure Client App installation with 30 days free trial.
SAP HANA Enterprise Cloud is the only end-to-end solution of its kind, delivering comprehensive cloud infrastructure and managed services for our in-memory applications, database, and platform.
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach.
Key Features and Functionality:
- Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data.
- Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime.
- Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs.
- AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data.
- Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management.
- Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance.
Primary Value and Solutions Provided:
Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.