Alternatives to Robyn

Compare Robyn alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Robyn in 2026. Compare features, ratings, user reviews, pricing, and more from Robyn competitors and alternatives in order to make an informed decision for your business.

  • 1
    Google Meridian
    Google Meridian is an open source Marketing Mix Modeling (MMM) framework built by Google to help advertisers and analysts accurately measure the impact of their marketing efforts across online and offline channels without relying on cookies or user-level tracking. At its core, Meridian uses a Bayesian causal-inference model that can ingest aggregated data (spend, sales or KPI outcomes, reach/frequency, geo-level data, seasonality, and external controls) to estimate the incremental contribution each marketing channel (e.g., search, social, video, offline media) makes to overall performance, and compute return on ad spend (ROAS), response curves, and optimal budget allocation. Because it’s open source, users have full transparency into methodology and code, giving them control over model configuration, data inputs, and assumptions.
    Starting Price: Free
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    Stella

    Stella

    Stella

    Stella is a marketing-measurement platform built to give marketers clear, scientifically sound insight into which ads, campaigns, and media channels actually drive incremental revenue. It includes three core tools; Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). With Incrementality Testing, Stella runs geo-holdout studies (or inverse holdouts) to compare performance between test and control regions, isolating the causal impact of your ads rather than relying on attribution alone. It automatically handles complex statistical analyses (causal inference, confidence intervals, MAPE/R² checks), letting you see what would have happened without a campaign and therefore revealing the true “lift” generated by each ad. Its Media Mix Modeling tool uses a proprietary Bayesian MMM to decompose historical marketing spend and external factors (like seasonality, promotions, holidays, weather, etc.) to estimate each channel’s contribution to sales.
    Starting Price: $2,000 per month
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    Recast

    Recast

    Recast

    Ridding the world of wasted marketing spend through privacy-friendly attribution, modern Bayesian statistics, and automated data pipelines. Most clients using Recast can improve their blended ROI by 10% within 6 months, achieving faster and more efficient growth. Recast does not use any user-level or cookie data, so it is easy to set up and will not be affected by changing privacy regulations that affect other measurement methodologies. Recast helps optimize your marketing performance by accurately measuring the true impact of your marketing in real time. Built to help modern marketers adjust spend based on real-time performance. Confidence intervals for every ROI, saturation curve, and time shift estimate. Predicts where the next dollar will be most effective because they are different and impactful concepts. Recast’s fully Bayesian model lets us incorporate your business context right into the code.
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    WorkMagic

    WorkMagic

    WorkMagic

    WorkMagic helps omnichannel brands measure the true impact of their marketing by combining incrementality testing, multi-touch attribution, and MMM into one unified platform. Its automated geo-based incrementality tests reveal what spend actually drives incremental sales across DTC, Amazon, retail, and wholesale. Instead of relying on guesswork or over-attribution from ad platforms, WorkMagic calibrates attribution models using real experimental results for maximum accuracy. Brands get a clearer view of performance, smarter budget allocation, and higher iROAS. Onboarding takes minutes, thanks to seamless integrations with Shopify, marketing channels, and marketplaces. With WorkMagic, teams finally understand what truly works—and what doesn’t—and can scale efficiently with confidence.
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    Measured

    Measured

    Measured

    Measured provides marketing attribution & cross-channel view across all media channels, PLUS media incrementality testing. Turn on 100+ audience level experiments across Google, Facebook and on 70+ integrated media platforms. Identify Media Waste, Test for Scale. Capture up to 30% marketing efficiency. Powered by incrementality measurement. Ask us for a FREE demo today! Solutions provided: - Marketing Attribution, Cross-Channel View of Marketing Spend - 70+ integrations on major media platform like Google, Facebook, Verizon Media, Criteo, AdRoll, SnapChat, YouTube, and more! - Run always-on, A/B, incrementality tests seamlessly - Integration is easy, be up and running in less than 24 hours - Understand maximum, efficient spend levels without an expensive stress test
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    Haus

    Haus

    Haus

    ​Haus is a marketing science platform that enables brands to measure the precise business impact of their advertising efforts, both online and offline, through automated incrementality experiments. It offers products like GeoLift for geo-based incrementality testing, Causal Attribution for day-to-day incrementality reporting, and the upcoming Causal MMM for incrementality-powered media mix modeling. These tools allow users to design and launch experiments in minutes, obtain results in as little as two weeks, and optimize marketing investments with daily incrementality reporting. Haus emphasizes privacy-durable solutions that do not rely on pixels, cookies, or personally identifiable information, ensuring compliance with evolving privacy regulations.
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    Lifesight

    Lifesight

    Lifesight

    Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate measurement techniques and enables them to measure their full-funnel marketing using modern measurement methods like marketing mix modeling, incrementality testing & causal attribution - Helping them make better decisions that result in sustainable & profitable growth.
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    PipelineDB

    PipelineDB

    PipelineDB

    PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.
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    Nixtla

    Nixtla

    Nixtla

    Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.
    Starting Price: Free
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    GPS Enterprise

    GPS Enterprise

    Analytic Partners

    Analytic Partners delivers a unified commercial analytics platform, GPS Enterprise (GPS‑E), that integrates marketing, sales, financial, operational, and external data to produce a holistic, actionable view of business performance. It uses a proprietary intelligence layer called ROI Genome, drawing on over 25 years of cross-industry data and analytics experience to reveal the true drivers behind growth and to uncover revenue opportunities beyond marketing. With GPS-E, companies can build always-on, adaptive models that go beyond traditional Marketing Mix Modeling (MMM) by incorporating non-marketing variables such as competitive actions, customer trends, macroeconomic factors, and operational inputs, recognizing that a large portion of growth often comes from outside just advertising spend. It features streamlined data orchestration via a module called ADAPTA to automate data ingestion, validation, and standardization across agencies and business units.
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    ScanmarQED

    ScanmarQED

    Scanmar

    ScanmarQED offer a single platform that can transform the way you deal with your data. Instead of wasting time crunching numbers you can spend more time savouring the information. It's what marketing people were made for. Integrated data is the high octane fuel for marketing analysis. Build your own easy to operate dashboards and Discover insights in seconds. Analyse past campaigns and test thousands of models per minute. Push your marketing to the limit. Create, explore and discover the possibilities.
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    Skai

    Skai

    Skai

    Introducing the engine for full-circle intelligence, deeper customer connections and insights-driven success, from concept to commerce. Make smarter, predictive decisions at every turn with all the data you need and faster time-to-insight. Our rich data solutions provide AI-contextualized actionable intelligence about consumer sentiment, market trends, competition and more. Customer interactions happen everywhere. Maximize every touchpoint with the the broadest reach and gain the power to engage across all critical retailers, DTC channels, search engines, social media and more. Get more return from your ad spend with flexible, robust and cross-channel performance media activation. Skai’s™ solutions are industry-leading, with seamless ecosystem integrations, for data-driven campaigns and results that exceed KPIs.
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    Sellforte

    Sellforte

    Sellforte

    On average, advertisers are burning 10-15% of their media budgets due to bad analytics. Sellforte's SaaS solution helps you to unleash the missed business opportunity. Sellforte's continuous MMM raises you to the next level of marketing measurement as you'll get an objective view of how all campaigns and media channels are driving the business. This makes you prepared whether it's about board meetings, monthly business meetings, agency briefings or campaign analysis. With the slogan "Unleash the impact" we want to highlight our focus on releasing business impact from marketing data by using our proprietary data science algorithms on the platform and deep industry expertise for retail, ecommerce, and telecom industries.
    Starting Price: €490 per month
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    evoML

    evoML

    TurinTech AI

    evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention.
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    Rockerbox

    Rockerbox

    Rockerbox

    It gets complicated once you go beyond advertising exclusively on Facebook and Google. Rockerbox solves this problem, providing the marketing infrastructure you need to scale your business quickly and efficiently. Rockerbox centralizes all of your marketing spend and campaigns (paid, organic, digital and offline). Rockerbox deduplicates your conversions in a fully transparent and customizable platform, ensuring your data is clean and trustworthy. Struggling to understand the impact of your branding? Rockerbox has playbooks. Not sure how to measure OTT, Linear or Direct Mail? Rockerbox has methodologies for each. Are you trying to crack the nut of Facebook views? Synthetic Events are your answer. How quickly do you need a channel to be ROAS positive? How much loss are you willing to accept before a customer becomes profitable?
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    Prescient AI

    Prescient AI

    Prescient AI

    Uncover under-performing campaigns so you can quickly shift ad spend based on your simulation results and maintain your overall budget. We use a probabilistic and windowless measurement that leverages time-series data from your ecommerce platform and marketing channels to get to the heart of what moved the needle. Using your brand’s historical data, forecast the revenue and ROAS of your campaigns at any adjusted spend amount before you change anything. Connect all of your channels in just 10 minutes with our easy, one-time onboarding. You’ll get actionable insights 48 hours later. Marketers can quantify and benchmark the impact of cross-channel awareness on organic search, direct traffic, and other campaigns via.
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    Marketing Evolution

    Marketing Evolution

    Marketing Evolution

    The waste in advertising epidemic is a profit killer that creates turmoil for both consumers and marketers. TrafficGuard estimates that within the next 5 years, digital advertisers will waste up to $100 million a day due to ad fraud. Such massive loss is unsustainable for omnichannel marketers and requires a good, hard look at not just spend and strategy, but also the way marketing is measured. Reach your consumers more effectively by understanding how they interact at every touchpoint across online and offline channels. Use advanced analytics to measure and optimize key performance indicators (KPIs) like campaign performance, engagement, and sales. Leverage insights and campaign recommendations to make the best decisions on your media mix, budget, creative rotation, brand-building efforts, and long-range planning. Optimize our total media investment towards business metrics, including brand consideration, demand generation and sales.
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    Crealytics

    Crealytics

    Crealytics

    At Crealytics, challenging the status quo isn’t a tired cliché. It’s a key tenet of our company values. We help brands and retailers to activate their customer data. As a result, they master their paid media performance and acquire more new, loyal customers. Through performance advertising and marketplace solutions, we service over 60 eCommerce brands – including ASOS, Urban Outfitters and Foot Locker. Increase performance through improved measurement and data activation. Optimize biddable media to CLV master incrementality testing enhance marketplace offerings. Maximize brand relationships with smarter sponsored product Ads, build custom private marketplaces, integrate search, PLA & display programs, leverage dedicated sales support. Pinpoint customer values rely on precise calculations. We measure the exact value of every customer engagement, and then determine their contributed value after returns. Finally, we add a predicted lifetime value to their order margin.
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    Azure AI Anomaly Detector
    Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface.
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    Dominate

    Dominate

    BigBear.ai

    Gain decision advantage and maintain a competitive edge over adversaries with an advanced, automated capability to make sense of multiple streams of data to derive meaningful insights. Our time series forecasting engine, Dominate, analyzes economic indicators, global indices, media data, and more to enable supply chain planning and forecast probable future outcomes. Our cutting-edge approach to data preparation has been proven in some of the world’s most complex environments. Utilizes AI/ML to leverage the relationships between more complete data elements to influence your outcomes. Multi-step, multi-factor, multi-target, autoregressive models can flexibly forecast multiple values accurately and update them on-demand. Dominate provides certainty in shaping conditions to reveal unexpected insights and develop innovative courses of action. Tensor completion addresses error-prone and gap-riddled data and provides time-series forecasting, alerting, and impact analysis.
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    Google Cloud Timeseries Insights API
    Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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    SparkBeyond

    SparkBeyond

    SparkBeyond

    SparkBeyond Discovery autonomously analyzes complex data, finding answers to business problems where you wouldn't think to look. Seamlessly integrate external data into your search space for a better grip on the real influencers of outcomes, and get a holistic perspective of your business reality. Move analytics projects beyond the experimental by interacting with data and insights in natural language, allowing a deeper alliance between analytics and business stakeholders. Future-proof the hard-won benefits of the analytics process by keeping an evergreen cycle of inputs and outputs. The world shifts, and so should your insights. From time-series to geo-spatial data, auto-connect most data in their raw, granular form, without writing a single line of code. See the bigger picture by integrating our curated database of world knowledge (maps, Wikipedia, demographics) or network of 3rd-party data providers.
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    TimescaleDB

    TimescaleDB

    Tiger Data

    TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
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    Tiger Data

    Tiger Data

    Tiger Data

    Tiger Data is the creator of TimescaleDB, the world’s leading PostgreSQL-based time-series and analytics database. It provides a modern data platform purpose-built for developers, devices, and AI agents. Designed to extend PostgreSQL beyond traditional limits, Tiger Data offers built-in primitives for time-series data, search, materialization, and scale. With features like auto-partitioning, hybrid storage, and compression, it helps teams query billions of rows in milliseconds while cutting infrastructure costs. Tiger Cloud delivers these capabilities as a fully managed, elastic environment with enterprise-grade security and compliance. Trusted by innovators like Cloudflare, Toyota, Polymarket, and Hugging Face, Tiger Data powers real-time analytics, observability, and intelligent automation across industries.
    Starting Price: $30 per month
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    Dewesoft Historian
    Historian is a database software service for long-term and permanent monitoring. It provides storage in an InfluxDB time-series database for long-term and permanent monitoring applications. Monitor your vibration, temperature, inclination, strain, pressure, and other data with a self-hosted or fully cloud-managed service. Standard OPC UA protocol is supported for data access and integration into our DewesoftX data acquisition software or SCADAs, ERPs, or any other OPC UA clients. Data is stored in a state-of-the-art open-source InfluxDB database. InfluxDB is an open-source time-series database developed by InfluxData. It is written in Go and optimized for fast, high-availability storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics. Historian service can either be installed locally on the measurement unit, or your local intranet, or we can provide a fully cloud-managed service.
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    EDAMS Environment & Government

    EDAMS Environment & Government

    Hydro-Comp Enterprises

    Our Environmental Management system is ideal for Agriculture, Natural Resources and Environment Ministries. It manages Geospatial Info, time-series measurements, licenses, permits, applications as well as quality data for water, ground & air. The EDAMS Government Environmental Management system is ideal for Agriculture, Natural Resources and Environment Ministries. It manages Geospatial Info, time-series measurements, licenses, permits, applications as well as quality data for water, ground & air. Integration is enabled on a database level, business process and transaction levels avoiding data duplication and enabling demand management. EDAMS products have their own embedded GIS but also provide direct links to ESRI ArcGIS, Quantum GIS (QGIS) and SuperMap GIS. The EDAMS system is a modular system allowing it scalable implementation to suit the growth and capacity enhancement of the organisation.
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    dataPARC Historian
    Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights. The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights. Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence. The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful.
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    BigObject

    BigObject

    BigObject

    At the heart of our innovation is in-data computing, a technology designed to process large amounts of data efficiently. Our flagship product, BigObject, embodies this core technology; it’s a time series database developed with the goal of high-speed storage and handling of massive data. With our core technology of in-data computing, we launched BigObject, which can quickly and continuously handle non-stop and all aspects of data streams. BigObject is a time series database developed with the goal of high-speed storage and analysis of massive data. It boasts excellent performance and powerful complex query capabilities. Extending the relational data structure to a time-series model structure, it utilizes in-data computing to optimize the database’s performance. Our core technology is an abstract model in which all data is kept in an infinite and persistent memory space for both storage and computing.
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    INCRMNTAL

    INCRMNTAL

    INCRMNTAL

    The platform provides you with the tools to uncover the causality behind your marketing activities with no need for user-level data. If your advertising is always on, your measurement should also be always on. Identify the incremental value across digital advertising channels, TV, influencers. Isolate bid changes which lead to no additional traffic. Find marketing activities which cannibalize on your organic user base or across paid marketing. INCRMNTAL works for the marketer. We don’t make the marketer work. Our platform uses the marketing data to perform on-going measurements while campaigns and channels run uninterrupted. Old School Incrementality measurement forced you to stop your campaigns in a country or create a control group. Our platform doesn’t need you to do anything different to show you if your activity is incremental or not.
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    Google Cloud Inference API
    Time-series analysis is essential for the day-to-day operation of many companies. Most popular use cases include analyzing foot traffic and conversion for retailers, detecting data anomalies, identifying correlations in real-time over sensor data, or generating high-quality recommendations. With Cloud Inference API Alpha, you can gather insights in real-time from your typed time-series datasets. Get everything you need to understand your API queries results, such as groups of events that were examined, the number of groups of events, and the background probability of each returned event. Stream data in real-time, making it possible to compute correlations for real-time events. Rely on Google Cloud’s end-to-end infrastructure and defense-in-depth approach to security that’s been innovated on for over 15 years through consumer apps. At its core, Cloud Inference API is fully integrated with other Google Cloud Storage services.
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    DataLux

    DataLux

    Vivorbis

    A data management and analytics platform built to address data challenges and enable real-time decision making. DataLux comes with plug & play adaptors, providing aggregation of large data sets and the ability to gather and visualise insights in real-time. Use the data lake to pre-empt new innovations. Store data, ready for data modelling. Create portable applications by utilising containeristion in a public, private cloud or on premise. Bring multiple time-series market and inferred data together such as stock exchange tick data, stock market policy actions, related and cross-industry news, alternative datasets to extract causal information about stock markets, macroeconomics and more. Shape business decisions, product innovations by providing insights and informing key decisions to improve products. Run interdisciplinary A/B experiments across product development, design and engineering from ideation to decision making.
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    R

    R

    The R Foundation

    R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
    Starting Price: Free
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    VictoriaMetrics Anomaly Detection
    VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.
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    DataGen

    DataGen

    DataGen

    DataGen is a leading AI platform specializing in synthetic data generation and custom generative AI models for machine learning projects. Their flagship product, SynthEngyne, supports multi-format data generation including text, images, tabular, and time-series data, ensuring privacy-compliant, high-quality training datasets. The platform offers scalable, real-time processing and advanced quality controls like deduplication to maintain dataset fidelity. DataGen also provides professional AI development services such as model deployment, fine-tuning, synthetic data consulting, and intelligent automation systems. With flexible pricing plans ranging from free tiers for individuals to custom enterprise solutions, DataGen caters to a wide range of users. Their solutions serve diverse industries including healthcare, finance, automotive, and retail.
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    Aquatic Informatics

    Aquatic Informatics

    Aquatic Informatics

    Aquatic Informatics provides software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. From raindrop to sewer discharge, our interconnected data management platforms drive the efficient management of water information to protect human health and reduce environmental impact. AQUARIUS is analytics software for the natural environment for acquiring, processing, modelling, and publishing water information in real time to enable agencies with efficient, accurate, and defensible water data. The AQUARIUS suite includes: - AQUARIUS Time-Series for Efficient, Accurate & Defensible Water Data - AQUARIUS Samples for easy Sample Management - AQUARIUS WebPortal for Real-time Data Publishing Online - AQUARIUS Forecast for Simpler Workflows with Complex Models. - AQUARIUS EnviroSCADA for Real-Time Water Data Acquisition. - AQUARIUS Cloud for All the Power of AQUARIUS in a SaaS environment.
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    sMMMart AI

    sMMMart AI

    Salestube

    sMMMart AI is a next-generation marketing optimization tool built on Google Cloud Platform that leverages continuous Bayesian modelling to deliver results as often as weekly. It automates data ingestion via proprietary connectors, uses the lightweight_mmm library for multi-level marketing mix modelling, and visualizes insights in Looker Studio. Unlike traditional modelling approaches, sMMMart AI analyzes full-funnel contributions across campaigns and channels (e.g., media spend, pricing, promotions, seasonality), uses Bayesian techniques to improve prediction accuracy, and supports scenario planning to simulate budget allocations and forecast outcomes. It also maintains resilience to evolving data privacy regulations by relying on aggregate econometric modelling rather than individual user-level tracking, and helps marketing teams move beyond last-click attribution by exposing channel synergies, tactical creative-level impact, and strategic optimization across the entire ecosystem.
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    Bloomfilter

    Bloomfilter

    Bloomfilter

    The first step to improving a process is to understand it. Bloomfilter uses process mining to analyze time-series data from your entire stack and build a model of your team's unique software development process – and then helps you optimize it. Visualize cost breakdown between build, run, and maintain. While software development is both an art and a science, data-driven teams ship more often and innovate faster. Translate sprints and points into dollars and cents. Understand where your process breaks down, and get best practices on how to improve it. Increase predictability when scoping work and estimating when new features will ship. Get objective analysis on your development process in a language everyone understands.
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    Narrator

    Narrator

    Narrator

    Narrator is a fundamentally new approach to data, answering any question without having to build a new model or update SQL. Other data companies help you build and manage models and tables. Good for them, but we eliminate that need altogether. Narrator models each business concept once from any source in your warehouse, in a single time-series table. Each takes five minutes and once built, does not have to change for new questions. New data questions or metrics never require new data prep. Every business concept can be queried, plotted, explored, and related together, all without SQL, using any data in your warehouse. Security at Narrator is not an afterthought, we design and build for it through every stage of our process. Encourage your team to ask an infinite number of follow-up questions, creating a culture that feeds curiosity, that liberates the business to ask, iterate, and innovate.
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    Proficy Historian
    Proficy Historian is a best-in-class historian software solution that collects industrial time-series and A&E data at very high speed, stores it efficiently and securely, distributes it, and allows for fast retrieval and analysis —driving greater business value. With decades of experience and thousands of successful customer installations around the world, Proficy Historian changes the way companies perform and compete by making data available for asset and process performance analysis. The most recent Proficy Historian enhances usability, configurability and maintainability with significant architectural improvements. Take advantage of the solution’s simple yet powerful features to unlock new value from your equipment, process data, and business models. Remote collector management with UX. Horizontal scalability that enables enterprise-wide data visibility.
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    KDB.AI

    KDB.AI

    KX Systems

    KDB.AI is a powerful knowledge-based vector database and search engine that allows developers to build scalable, reliable and real-time applications by providing advanced search, recommendation and personalization for AI applications. Vector databases are a new wave of data management designed for generative AI, IoT and time-series applications. Here's why they matter, what makes them different, how they work, the new use cases they're designed for, and how to get started.
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    OpenTSDB

    OpenTSDB

    OpenTSDB

    OpenTSDB consists of a Time Series Daemon (TSD) as well as set of command line utilities. Interaction with OpenTSDB is primarily achieved by running one or more of the independent TSDs. There is no master, no shared state so you can run as many TSDs as required to handle any load you throw at it. Each TSD uses the open source database HBase or hosted Google Bigtable service to store and retrieve time-series data. The data schema is highly optimized for fast aggregations of similar time series to minimize storage space. Users of the TSD never need to access the underlying store directly. You can communicate with the TSD via a simple telnet-style protocol, an HTTP API or a simple built-in GUI. The first step in using OpenTSDB is to send time series data to the TSDs. A number of tools exist to pull data from various sources into OpenTSDB.
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    Altair Panopticon
    Altair Panopticon Streaming Analytics lets business users and engineers — the people closest to the action — build, modify, and deploy sophisticated event processing and data visualization applications with a drag-and-drop interface. They can connect to virtually any data source, including real-time streaming feeds and time-series databases, develop complex stream processing programs, and design visual user interfaces that give them the perspectives they need to make insightful, fully-informed decisions based on massive amounts of fast-changing data.
    Starting Price: $1000.00/one-time/user
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    Eagle.io

    Eagle.io

    Eagle.io

    Transform your data into actionable insights with eagle.io Designed for system integrators and consultants, eagle.io helps you turn time-series data into actionable intelligence. Acquire data in real-time from any data logger or text file, transform data automatically using processing and logic, receive alerts for critical events, and share access with your clients. That’s why eagle.io is trusted by some of the world’s biggest companies to help them better understand their natural assets and environmental conditions in real time.
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    Cloudera Data Warehouse
    Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
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    Forvio

    Forvio

    Forvio

    Forvio enhances the capabilities of advertisers by providing an advanced Marketing Mix Modeling solution. It maximizes attribution visibility and optimizes budget allocation. The built-in integrations enable automatic data loading, model calibration with incremental experiments, and budget planning using an advanced constraint-based scenario planner. As a Meta measurement partner, Forvio delivers exceptional solutions to advertisers.
    Starting Price: $299
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    Openwind

    Openwind

    UL Solutions

    Openwind is an advanced wind farm design and optimization software developed by UL Solutions, utilized throughout a wind project's development to create optimal turbine layouts that maximize energy production, minimize energy losses, account for plant development costs, and generate overall project efficiencies. The software enables users to optimize layouts and turbine positions to minimize the cost of energy, considering factors such as energy production, operations and maintenance costs, and capital expenditures, including turbine and plant development costs. Openwind incorporates leading-edge wake models, including the Deep Array Wake Model (DAWM), which considers dynamic interactions between turbines and the atmospheric boundary layer, allowing wakes to vary with turbulence intensity and stability. The platform also offers time-series energy capture capabilities, allowing for detailed analysis of energy production over time.
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    RemoteAware GenAI Analytics Platform

    RemoteAware GenAI Analytics Platform

    New Boundary Technologies

    RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.
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    Saymon

    Saymon

    SAYMON

    Light. Quick. Beautiful. A modern Russian high-performance platform for solving problems of description, visualization, control and analytics of processes and elements that provide them. Expertise and experience in the fields of IT and TELECOM made it possible to create a platform that borrows the best ideas from traditional OSS/BSS/NGOSS (Frameworx) solutions and uses the latest HTML/AJAX, SQL/noSQL and TimeSeries technologies. The platform works with heterogeneous systems (for example, the Internet of things) and has powerful business intelligence capabilities. World-class software from Russia. Visualization of the IT landscape is an important step toward the successful operation of the company. Control of key technical indicators is a guarantee of uninterrupted operation. Monitoring the availability of communication channels, equipment, computers, servers and their components.
    Starting Price: $1000 one-time payment
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    Machbase

    Machbase

    Machbase

    Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data.
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    AI CERTs

    AI CERTs

    AI CERTs

    AI CERTs offers role-based, industry-relevant certification programs in artificial intelligence and blockchain, designed to make AI education accessible to both technical and non-technical individuals. It provides a broad catalog of learning paths and credentials. Among its offerings is the “AI+ Developer” certification, which guides learners through Python programming, data processing, machine learning, deep learning, NLP, computer vision, reinforcement learning, time-series analysis, model explainability, and cloud deployment, providing hands-on projects, labs, and an online proctored exam to validate competence. It also supports flexible modes of learning: self-paced or instructor-led, enabling learners to adapt their study to their schedule. AI CERTs aims to close the AI skills gap by offering updated curricula designed by industry and academic experts, continuously revised to match emerging industry needs.
    Starting Price: Free