Best Big Data Processing And Distribution Systems - Page 6

CelerData Cloud

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.

Average Rating: 4.8/5.0

Total Reviews: 3

Denodo

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers.

Average Rating: 4.3/5.0

Total Reviews: 39

Kinetica

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joins - analyze data using SQL based analytics for spatial, graph, and time-series analytics or running containerized ML models

Average Rating: 4.3/5.0

Total Reviews: 2

MyDataHub

MyDataHub is a comprehensive data management platform designed to help businesses unlock the full potential of their data. With over six years of experience, MyDataHub assists organizations in leveraging data for informed decision-making and implementing AI-driven innovations to foster business growth. The platform offers a suite of tools for data integration, cleansing, and analysis, supporting diverse data sources while ensuring robust data privacy and security measures. By streamlining data handling processes, MyDataHub enables businesses to efficiently manage their data resources and comply with relevant data protection regulations. Key Features and Functionality: - Data Integration and Cleansing: Seamlessly connect and clean data from various sources to ensure accuracy and consistency. - Advanced Analytics: Utilize AI and machine learning models to derive actionable insights tailored to specific business needs. - Business Intelligence Tools: Access comprehensive dashboards and reporting tools for real-time performance monitoring. - Consulting and Training: Receive expert guidance and training on data utilization and AI/ML solutions to enhance organizational capabilities. Primary Value and Solutions Provided: MyDataHub empowers businesses to transform raw data into valuable insights, facilitating data-driven decision-making and innovation. By offering a unified platform for data management and analysis, it addresses challenges related to data silos, inefficiencies, and compliance, ultimately driving business growth and competitive advantage.

Average Rating: 4.5/5.0

Total Reviews: 1

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

Teraki

Teraki data processing software provides customer’s algorithms to work with more accurate and higher frequency data streams. This means that Teraki is able to get more relevant information from the car to feed the algorithms you work with. The result is higher accuracy rates (more “true positives”) in detecting or predicting events and behaviour.

Average Rating: 4.0/5.0

Total Reviews: 1

Ahana Cloud for Presto

Ahana Cloud for Presto is a fully integrated, cloud-native managed service built for AWS and the easiest way to get up and running with Presto. The managed service includes the Ahana SaaS Console which allows users to create and manage multiple Presto clusters. The Ahana SaaS Console runs in Ahana's AWS account. The Presto clusters as well as the other system components like the Hive Metastore are provisioned in the Ahana Compute Plane in the user's AWS account.

AI-Surge Cloud

No code ModelOps for the fastest advanced analytics possible. In today's world, everyone is data-driven. From marketing to finance to engineering, data is the new currency of business. Unfortunately, the analytics process is convoluted and time-consuming. Our software is an all-in-one platform that enables any business to use advanced analytics without the need for coding. With our solution, businesses can get the newest insights in a fraction of the time and spend less on IT. https://ai-surge.cloud/

Alluxio

Open source data orchestration for analytics and machine learning in any cloud

AMR Win Control Software

AMR Win Control offers software for data acquisition and measured data processing.

Apache Hudi

Apache Hudi is an open-source data lake platform that brings database-like capabilities to data lakes, enabling ACID transactions, record-level updates and deletes, and efficient data ingestion. Developed by the creators of Apache Hudi, Onehouse offers a managed service that enhances Hudi's capabilities, providing a high-performance, resilient, and secure data lakehouse solution.

Apache Spark

AxonIQ Console

AxonIQ Console Insight and management for Axon Framework and Axon Server AxonIQ Console is designed to get the most out of your Axon Framework application and Axon Server environment, no matter where it runs. Near-zero configuration is required. AxonIQ Console simplifies a complex enterprise application infrastructure by providing insight, management, control, and reporting; all in one platform. AxonIQ Console AxonIQ Console is designed to evolve and enhance its functionalities over time and will cover all the products and services AxonIQ has to offer. Based on user feedback, we have designed a tool that provides insight into applications developed with Axon Framework that can run without or with our recommended Axon Server environment. The "one-stop shop" for all initialization, configuration, insights, and monitoring of AxonIQ products. Benefits One platform Access to: Axon Framework Axon Server GCP Marketplace AxonIQ Cloud (TBA) Quick and easy setup Connect Axon Framework-based applications to Axon Server with just a few clicks, saving valuable time. Overview Gain insight into all connected applications and server nodes. Applications Clusters Event Processors Message Handlers Aggregates

Average Rating: 4.0/5.0

Total Reviews: 1

Basepair

BasePair is a SaaS platform for genomic data analysis and visualization that can be used for multitude of application areas across epigenetics, genomics, transcriptomics and others. Bioinformaticians can leverage the powerful CLI or APIs to scale and automate their validated workflows. The platform itself abstracts away the dev ops component of deploying NGS pipelines on AWS (security, access controls, audit trail, instance optimization etc), accelerating the migration and scaling of workflows to the cloud, freeing you up to focus on the science.

Bigstep Bare Metal Cloud

Bare Metal Cloud Infrastructure as a Service (IaaS) offering single tenant, on-demand environments built for high traffic websites, micro-services architectures, IoT & mobile backends, big data and more.