Ontotext, a semantic knowledge graph provider, today announced that its flagship product, GraphDB, is now available on the Microsoft Azure Marketplace. Now, enterprises can streamline the global deployment of graph databases, facilitating the migration of on-premises data to Azure and other prominent public cloud platforms. Customers can take advantage of the Azure cloud platform, with streamlined deployment and management to ensure compliance with rigorous industry and privacy regulations.
Ontotext GraphDB accelerates knowledge graph builds, and provides users with a platform for enterprise-wide data integration and discovery. GraphDB was developed for companies with decentralized data challenges and that require data driven analytics in order to drive insights for crucial business needs. GraphDB on Azure enables their joint customers to:
- Remove data silos and speed up time to insights/time to market with a linking engine for enterprise data management.
- Unify data sources for impactful data sharing, collaboration and semantic data discovery that delivers ROI on information architecture spend.
- Empower standardized data exchange, discovery, integration, and reuse to provide 360 views of their business.
Vector database company Pinecone announced Pinecone Serverless, with a unique architecture and a serverless experience, to deliver cost reductions and eliminate infrastructure hassles, allowing companies to bring better GenAI applications to market faster. Companies can improve the quality of their GenAI applications and have a choice of LLMs just by making more data (or “knowledge”) available to the LLM. Pinecone Serverless includes:
- Separation of reads, writes, and storage reduces costs for all types and sizes of workloads.
- Architecture with vector clustering on top of blob storage provides low-latency, fresh vector search over practically unlimited data sizes at a low cost.
- Indexing and retrieval algorithms built from scratch to enable fast and memory-efficient vector search from blob storage without sacrificing retrieval quality.
- Multi-tenant compute layer provides efficient retrieval for thousands of users, on demand. This enables a serverless experience in which developers don’t need to provision, manage, or think about infrastructure, as well as usage-based billing that lets companies pay only for what they use.
Pinecone Serverless is launching with integrations to Anthropic, Anyscale, Cohere, Confluent, Langchain, Pulumi, and Vercel. Pinecone Serverless is available in public preview today in AWS cloud regions, and will be available thereafter on Azure and GCP.
Altova announced the release of MobileTogether 8.1, its low-code app development platform for building enterprise solutions and native apps for iOS, Android, and Windows. This release introduces full support for MQTT, allowing developers to build MQTT-enabled apps for communication among smart devices.
MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol used for communication by smart devices. MQTT is a critical component of real-time monitoring and control of devices and processes in a wide variety of industries including automotive, manufacturing, transportation, and healthcare. MQTT enabled apps are invaluable for realizing the potential of smart devices in industrial automation as well as smart home and smart office scenarios.
MobileTogether 9.0 introduces complete support for building MQTT enabled apps with new actions, page events, and variables for interacting with an MQTT network as a publisher, a subscriber, or both. Also new in MobileTogether 9.0:
- Support for table row dragging
- Support for table row swiping
- Native support for MySQL and MariaDB
- Support for drawing barcodes and QR codes
- Chart generation on clients
- Page source tree editing during simulation
- Dark and light themes for MobileTogether Designer
- Solution aliases on the server
- Support for multiple row groups per table
- New button looks