In this week’s real-time analytics news: NVIDIA introduced an AI foundry service to speed the development and tuning of custom generative AI applications on Microsoft Azure.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!
NVIDIA introduced an AI foundry service to supercharge the development and tuning of custom generative AI applications for enterprises and startups deploying on Microsoft Azure. The NVIDIA AI foundry service pulls together three elements — a collection of NVIDIA AI Foundation Models, NVIDIA NeMo framework and tools, and NVIDIA DGX Cloud AI supercomputing services — that give enterprises an end-to-end solution for creating custom generative AI models. Businesses can then deploy their customized models with NVIDIA AI Enterprise software to power generative AI applications.
IBM announced that watsonx.governance will be generally available in early December to help businesses better examine AI models and eliminate the mystery around the data going in, and the answers coming out. To that end, watsonx.governance provides organizations with a toolkit to manage risk, embrace transparency, and anticipate compliance with future AI-focused regulation.
Real-time analytics news in brief
Actian officially relaunched the Actian Data Platform (formerly known as Avalanche), which features hybrid integration as a service capabilities. The enhanced platform supports businesses’ confidence in their data, improves data quality, assists in lowering costs, and enables better decision making across the business. Additionally, the Actian Data Platform collects, manages, and analyzes data in real time with its transactional database, data integration, data quality, and data warehouse capabilities in an easy-to-use platform.
Aerospike released Version 7 of its real-time, multi-model database with a new unified storage format and other significant in-memory database enhancements. The unified storage format in Aerospike Database 7 provides the flexibility to choose the right storage engine for different kinds of workloads, even within the same cluster. Developers no longer need to understand the intricacies of in-memory, hybrid memory, and all-flash storage models. In-memory deployments gain fast restarts for enterprise-grade resiliency and compression that shrinks the memory footprint of real-time applications.
Arcitecta announced its new Mediaflux Universal Data System, a convergence of data management, data orchestration, multi-protocol access, and storage in one platform. The system manages the entire data lifecycle, both on-premises and in the cloud, with globally distributed access. With Mediaflux Universal Data System, organizations can easily share data across locations.
Astronomer announced that its Astro platform is now available as Apache Airflow on Astro – an Azure Native ISV Service. Astro enables companies to place Airflow at the core of their data operations to ensure the reliable delivery of mission-critical data pipelines. As a managed service in the Azure Portal, developers can create an Airflow instance with just a few clicks, access an extensive library of pre-built integrations, and easily coordinate all data operations from Astro’s unified data platform.
Canonical, the publisher of Ubuntu, announced the release of Microcloud, a new low-touch, open-source cloud solution. The new offering is part of Canonical’s growing cloud infrastructure portfolio. It is purpose-built for scalable clusters and edge deployments for all types of enterprises and designed with simplicity, security, and automation in mind. Microcloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available and priced per node.
Census unveiled Census Embedded, a developer-first offering designed to simplify the seamless integration of Reverse ETL into products and platforms. The highlight of this Embedded product is Census Connect, a client-side workflow that streamlines the collection of end-user credentials and programmatically creates Reverse ETL pipelines.
Dataiku announced that Databricks is the latest addition to its LLM Mesh Partner Program. Through this integration and partnership, the two companies are paving a clearer path for Generative AI-driven business transformations. To that end, Dataiku and Databricks democratize access to data, analytics, machine learning, and AI, enabling a collaborative, visual experience that scales programs and accelerates the delivery of Generative AI projects.
Exasol announced thatExasol Espresso, its query engine that plugs into existing data stacks, is integrated with self-service analytics provider Veezoo. The integration enables customers to simply ask questions in natural language to query their database and immediately get trusted answers from billions of rows of data. Veezoo’s AI feature offers smart suggestions for follow-up questions to guide data exploration, transforming data analysis into an engaging, interactive experience.
Fauna announced a new declarative schema and a suite of DevOps tooling and integrations that bring the flexible principles of modern CI/CD deployments to its enterprise operational database. The updates include the Fauna Schema Language (FSL), a modern command line interface (CLI), and GitHub and GitLab integrations. Combined, these features enable database development to match the pace of application development by incorporating database schema-level changes into broader CI/CD workflows.
Fivetran announced its support for Microsoft OneLake through integration with Microsoft Fabric as a new data lake destination. Additionally, Fivetran has been named a Microsoft Fabric Interoperability Partner. Together with support for Delta Lake on Azure Data Lake Storage (ADLS) Gen2, also announced this week, Fivetran customers now have two Microsoft data lake destinations to securely consolidate their data workloads with any of Fivetran’s 400-plus pre-built, fully managed data pipelines.
ibi announced the launch of ibi Data Intelligence, a data management solution that empowers organizations to address complex challenges efficiently, cost-effectively, and at scale. The new offering removes the struggle of managing disparate software from multiple vendors, unifying the data in one platform, and improving data reliability and accessibility.
IOTech announced the general availability of Edge Central, an open edge data platform that makes industrial data easily accessible, actionable, and manageable. Edge Central is a complete solution, delivering all the features and functionalities organizations need to manage and utilize their edge data. A commercialized version of the EdgeX Foundry platform, Edge Central allows businesses to build edge environments without the risk of vendor lock-in.
Kalray announced the availability of NG-Box, a disaggregated NVMe storage array based on Dell PowerEdge servers combined with Kalray DPU-based storage acceleration cards. NG-Box is designed to excel at unstructured data workloads and to offer fast, automated, and scalable on-premises Tier 0 storage for demanding data-intensive workflows, which are increasingly AI-focused.
KX announced two new offerings optimized for Microsoft Azure customers: the integration of KDB.AI with Azure Machine Learning and Azure OpenAI Service; and KX Copilot. With the Integration of KDB.AI with Azure Machine Learning and Azure OpenAI Service, developers who require turnkey technology stacks can access fully configured instances of KDB.AI, Azure Machine Learning, and Azure OpenAI Service inside their customer subscription. Using the Azure-powered KX Copilot and a Microsoft Teams plug-in, customers can leverage vectorized data housed in kdb Insights Enterprise to facilitate better queries using natural language prompts.
Martian emerged from stealth and announced the Model Router, an orchestration layer solution that routes each individual query to the best LLM in real time. Through routing, Martian achieves higher performance and lower cost than any individual provider, including GPT-4. The system is built on the company’s Model Mapping technology that unpacks LLMs from complex black boxes into a more interpretable architecture.
New Relic launched New Relic AI Monitoring (AIM), an APM solution for AI-powered applications. Using the solution, engineers can access a single view to troubleshoot, compare, and optimize different LLM prompts and responses for performance, cost, security, and quality issues, including hallucinations, bias, toxicity, and fairness. It provides engineers with full visibility on all components of the AI stack alongside services and infrastructure so that they have the data they need for the responsible use of AI and to prove their compliance with forthcoming AI regulations.
Teradata announced its first serverless AI/ML engine in the cloud, called Teradata AI Unlimited. The new offering is natively integrated into Microsoft Fabric and OneLake, which is Fabric’s unified, multi-cloud data lake. By allowing data scientists, data engineers, and developers to seamlessly explore and discover new use cases on-demand, Teradata AI Unlimited enhances historical data platforms and is designed to make AI innovation faster, easier, and more cost-effective.
Unravel Data announced the release of Unravel for Snowflake. By employing AI that is purpose-built for managing the Snowflake technology stack, cloud data cost management is put into the hands of Snowflake customers by providing them with granular insights into specific cost drivers, as well as AI-driven cost and performance recommendations for optimizing SQL queries and data applications.
Vultr announced the addition of the NVIDIA GH200 Grace Hopper Superchip to its Cloud GPU offering to accelerate AI training and inference across Vultr’s 32 cloud data center locations. The NVIDIA GH200 leverages the flexibility of the Arm architecture to create a CPU server architecture designed from the ground up for the challenges of AI, high-performance computing (HPC), and advanced analytics.
Yotascale announced Yota AI Assist, a FinOps Copilot powered by Generative AI. Yota AI Assist continuously analyzes an organization’s AWS, Azure, GCP, Snowflake, Datadog, Databricks, and other infrastructure costs, providing insights and optimization recommendations for each manager based on their objectives and role. A capability like this democratizes cloud cost data so that anyone can quickly get answers, optimizing cloud computing operations at every level.
If your company has real-time analytics news, send your announcements to [email protected].
In case you missed it, here are our most recent previous weekly real-time analytics news roundups:
- Real-time Analytics News for the Week Ending November 11
- Real-time Analytics News for the Week Ending November 4
- Real-time Analytics News for the Week Ending October 28
- Real-time Analytics News for the Week Ending October 21
- Real-time Analytics News for the Week Ending October 14
- Real-time Analytics News for the Week Ending October 7
- Real-time Analytics News for the Week Ending September 30