Traffic analytics, rankings, and competitive metrics for datastax.com as of October 2025

datastax.com is ranked #235197 in US with 105.18K Traffic. Categories: Computer Software and Development, Information Technology. Learn more about website traffic, market share, and more!

datastax/zara_embeddings_newcategories dataset hosted on Hugging Face and contributed by the HF Datasets community

32 made-up insect descriptions with Latin name and order (well, there's a spider, too), as one would find in a field guide. These were created with ChatGPT 3.5 / ChatGPT 4 for the purpose of running example applications such as a "entomology field guide helper". It was chosen to use entirely fictional material to avoid inadvertently using the LLM's implicit knowledge from pretraining in the demos.

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Discover the explosive growth of the cloud-native time series database market! This in-depth analysis reveals key trends, leading companies (Amazon, Microsoft, Google, InfluxData), and future projections for this high-demand sector. Learn how this technology is transforming industries with real-time data analytics.

The Wide Column Database (WCDB) software market is booming, projected to reach $15.2 billion by 2033, driven by big data applications and cloud adoption. Explore key trends, growth drivers, restraints, and leading vendors in this comprehensive market analysis.

450 quotes by 9 philosophers (50 quotes each), labeled with the author and with a variable number of topic tags. The quotes originally come from https://www.kaggle.com/datasets/mertbozkurt5/quotes-by-philosophers (CC BY-NC-SA 4.0). The text of each quote has been cleaned of soft-hyphens (\xad) and other weird characters. The topic labeling has been done with a default HuggingFace zero-shot classifier pipeline with multi_labels.

Discover the booming HTAP-Enabling In-Memory Computing Technologies market! This in-depth analysis reveals market size, CAGR, key drivers, trends, restraints, and regional breakdowns. Learn about leading companies and future growth projections for 2025-2033. Explore cloud-based vs. on-premises solutions and their impact on large, medium, and small enterprises.

The Artificial Intelligence For IT Operations Platform Market size was valued at USD 11.76 billion in 2023 and is projected to reach USD 36.15 billion by 2032, exhibiting a CAGR of 17.4 % during the forecasts period. Recent developments include: In June 2023, Saama, an AI- and ML-based solutions provider, unveiled an AI-driven data platform to expedite clinical advancements. This new platform leverages the power of artificial intelligence and machine learning to automate crucial processes in clinical development. This innovative solution empowers clinical development teams to make informed decisions, optimize trial efficiency, and enhance research outcomes. , In May 2023, DataStax, a leading real-time AI company, introduced Luna ML, a support service designed specifically for Kaskada Open Source. Luna ML offers customers comprehensive assistance in leveraging modern, open-source event processing for machine learning (ML), empowering them to implement Kaskada with expert support from DataStax. , In May 2023, NTT, a Japan-based IT infrastructure and services company, launched SPEKTRA (Sentient Platform for Network Transformation), its global services platform for NTT-managed network solutions. This platform leverages NTT's extensive expertise in managed services, technical resources, and cutting-edge technologies such as AIOps, automation techniques, and predictive analytics. It enhances network performance, expands monitoring capabilities, and significantly improves operational efficiency to deliver better customer solutions. , In May 2023, IBM introduced Watsonx, an innovative AI and data platform to empower enterprises to expand and expedite cutting-edge AI technologies' transformative potential while leveraging reliable and trustworthy data. By providing a comprehensive suite of tools and capabilities, Watsonx enables AI builders to test, train, fine-tune, and deploy various machine learning models, including the latest generative AI capabilities powered by foundation models. , In May 2023, Infosys, a digital services and consulting company, introduced Infosys Topaz, a comprehensive suite of services, solutions, and platforms designed using generative AI technologies. By integrating the capabilities of Infosys Cobalt cloud and data analytics, Infosys Topaz harnesses AI's potential to empower businesses to deliver cognitive solutions. , In May 2023, Tata Consultancy Services unveiled a collaboration with Google Cloud and introduced its latest offering. By harnessing the capabilities of generative AI, TCS aims to support clients in accelerating their growth and transformation endeavors. TCS Pace Ports will facilitate these collaborative initiatives, which serve as co-innovation hubs in strategic locations such as Pittsburgh, New York, Toronto, Amsterdam, and Tokyo. , In April 2023, Hewlett Packard Enterprise (HPE) introduced the next generation of HPE Aruba Networking Central. This next-generation release of HPE Aruba Networking Central offers many valuable business outcomes, including streamlined factory operations, personalized customer experiences, reduced environmental impact, and enhanced omnichannel retail operations. With its advanced capabilities, businesses can benefit from automated processes, cater to individual customer preferences, contribute to sustainability efforts, and provide a seamless shopping experience across in-store, mobile, and online channels. , In March 2023, Zenoss Inc., a leading AI-driven full-stack monitoring company, unveiled a new offering: streaming data monitoring for Kubernetes. This cutting-edge solution allows for real-time monitoring of Kubernetes streaming data and forms part of a comprehensive suite of initiatives centered around cloud-based monitoring. By providing visibility into ephemeral systems that are challenging to monitor using conventional tools, Zenoss empowers organizations to monitor and manage their cloud-based environments effectively. , In January 2023, DataStax acquired Kaskada and released the Kaskada code as open source in March. This strategic move provided customers access to open capabilities well-suited for real-time AI and ML applications. As the interest and adoption of Kaskada Open Source continue to evolve, the Luna ML support service from DataStax will serve as a valuable resource, offering users the necessary guidance and expertise to deploy Kaskada technology confidently. , In April 2022, Moogsoft, a prominent player in the AIOps solutions market, made notable advancements by introducing cutting-edge features and integrations. By integrating these new features, Moogsoft aims to elevate the user experience, empowering customers with valuable and actionable insights within a remarkably short timeframe, typically within a few days after implementation. These developments highlight Moogsoft's commitment to continuous innovation and dedication to delivering enhanced value to its customers in the dynamic field of AIOps. .

The in-memory computing market is experiencing robust growth, fueled by the increasing demand for real-time data processing and analytics across diverse sectors. The market's Compound Annual Growth Rate (CAGR) of 25.37% from 2019 to 2024 indicates a significant upward trajectory, projected to continue throughout the forecast period (2025-2033). Key drivers include the exponential growth of data volume, the need for faster decision-making, and the rise of applications requiring immediate data insights, such as fraud detection in BFSI, real-time patient monitoring in healthcare, and advanced network management in IT & Telecom. The adoption of in-memory databases and applications is accelerating across various end-user verticals, with the BFSI and healthcare sectors leading the charge due to their stringent real-time data processing requirements. Technological advancements, such as improvements in memory technology and optimized algorithms, are further contributing to market expansion. While challenges such as high initial investment costs and the need for specialized skills exist, the overall market outlook remains highly positive. The segmentation of the in-memory computing market reflects the diverse applications of this technology. In-memory data management solutions offer faster data access and manipulation, while in-memory applications leverage this speed to deliver real-time insights. The robust growth across segments is further evidenced by the significant participation of major players like IBM, Microsoft, and SAP, alongside specialized providers like TIBCO and Datastax. Geographic distribution indicates strong market penetration in North America and Europe, with Asia-Pacific expected to witness substantial growth in the coming years driven by increasing digitalization and technological adoption in emerging economies. The continuous evolution of cloud computing and the integration of in-memory computing within cloud platforms will likely further fuel market expansion and accessibility for a wider range of businesses. The competitive landscape is characterized by both established technology vendors and emerging players, leading to innovation and a diverse range of solutions for various business needs. This comprehensive report provides a detailed analysis of the in-memory computing market, encompassing its current state, future trends, and key players. The study period covers 2019-2033, with a base year of 2025 and a forecast period of 2025-2033. We analyze the historical period (2019-2024) to provide a robust understanding of market evolution. The report uses millions (M) as the unit for all financial figures. This analysis provides invaluable insights for stakeholders including investors, vendors, and technology enthusiasts in the rapidly evolving landscape of in-memory data management, in-memory databases, and in-memory analytics. Key drivers for this market are: , Explosion of Big Data; Growing Need for Rapid Data Processing. Potential restraints include: , Concerns Regarding Data Security and Data Breaching Globally. Notable trends are: In-memory Data Management to Hold Significant Share.

Explore the rapidly growing Wide Column Database Software market, driven by big data, IoT, and cloud adoption. Discover market size, CAGR, key drivers, restraints, and leading companies.

Discover the booming Time Series Database market! Explore its $5B valuation in 2025, projected 25% CAGR growth to 2033, key drivers, trends, and leading companies like InfluxDB and Timescale. Learn about regional market share and segmentation analysis for cloud-based and on-premises solutions.

Discover the booming NoSQL database market! Explore key trends, drivers, and restraints shaping this $80 billion industry, projected to reach $250 billion by 2033. Learn about leading companies like IBM, Oracle, and Neo4j and understand the growth potential across North America, Europe, and Asia Pacific.

Discover the booming Key-Value Store market! This in-depth analysis reveals key trends, growth drivers, and market segmentation from 2019-2033, featuring top players like Redis & Azure. Learn about regional growth, cloud-based solutions, and future market forecasts.