We're excited to announce our partnership with Fabi.ai that bridges the gap between real-time data streaming and advanced analytics, making it easier than ever for businesses to derive and distribute actionable insights from their data streams.
The Challenge of Leveraging Real-Time Data for Real-Time Insights
Organizations across industries are increasingly recognizing the value of real-time data processing. However, going from real-time data to real-time distributed insights is an illusive vision for many enterprises for a few key reasons:
Technical complexity: Traditional database systems weren't designed for streaming workloads, while specialized streaming platforms often require steep learning curves and complex tech stacks.
Metric inconsistency: Different departments often calculate the "same" metrics (like Daily Active Users or Conversion Rates) using slightly different logic, data sources, or data freshness levels. This leads to conflicting numbers in meetings, erodes trust in data, and hampers decision-making.
Insights distribution hurdles: Most data organizations rely on traditional BI to create and distribute insights. These are powerful platforms, however, they lack the proper Python integration needed for embedding advanced analytics, machine learning models, or building interactive data applications directly within the reporting flow.
The result? Valuable real-time data remains untapped, or companies invest significant resources in building and maintaining complicated data pipelines—yet still struggle with inconsistent business metrics across teams.
RisingWave: Consistency & Real-Time
If you’re a RisingWave customer, you already know the amazing benefits. But if you’re new, here’s who we are in a nutshell:
Key capabilities include:
Continuous Materialized Views (MV): These serve as the canonical definitions of your key business metrics, continuously updated as new data arrives without manual intervention. When your team defines metrics like DAU or conversion rates in RisingWave, they become the single source of truth.
Stream-native architecture: Purpose-built for processing continuous data streams, ensuring optimal performance and resource utilization for real-time use cases.
SQL-first approach: Unlike many streaming engines that require learning specialized programming models, RisingWave uses standard SQL, dramatically reducing the adoption barrier for data teams.
Built-in state management & fault tolerance: RisingWave automatically handles the complexities of event time processing, late data arrival, backpressure, and recovery, eliminating much of the operational overhead associated with streaming systems.
For businesses that need to process and analyze data as events happen—whether that's monitoring transactions for fraud, tracking inventory levels, or optimizing ad campaigns—RisingWave provides a high-performance serving layer for fresh, consistent metrics.
Fabi.ai: An AI-first Data Analysis and Reporting Platform
RisingWave enables real-time, consistent data, however data teams still need to turn that data into insights and share them with the business. This is where Fabi.ai shines. As a modern analytics platform, Fabi.ai integrates SQL, Python, and AI capabilities to enable everything from simple business intelligence to sophisticated machine learning—all in one platform. While legacy BI is historical-looking and restricted to data pivots, thanks to its AI and Python integration, data science teams are finally able to turn their findings into interactive reports, apps and workflows to share with the business.
Fabi.ai has a unique offering in the analytics market:
AI Analyst Agent: With a fully integrated AI agent designed specifically for data analysis and data science, Fabi.ai’s Analyst Agent acts as a senior data scientist that can assist any data practitioner. It’s equipped to generate SQL or Python as well as ideate or provide executive summaries.
Unified analysis environment: Teams can seamlessly move between SQL queries, Python analysis, and AI-powered insights in a single platform, eliminating the context switching that slows down traditional analytics workflows. All the tools you ended for everything from a simple analysis to a complex data science report are all in one place.
Automated insight delivery: Fabi.ai's integrations with Slack and email make it simple to automate the delivery of insights, with AI enrichment that can spot anomalies, summarize findings, and provide explanations in natural language.
From analysis to application: Unlike traditional BI tools that separate analysis from production, Fabi.ai allows teams to transform their analyses directly into interactive applications and dashboards, drastically reducing time-to-value.
RisingWave + Fabi.ai = Real-Time Insight Engine
The RisingWave and Fabi.ai partnership creates a seamless end-to-end solution for real-time analytics that's greater than the sum of its parts:
Metric consistency across the organization: When someone asks Fabi.ai "What is our current DAU?", it queries the specific MV_DAU materialized view in RisingWave. Everyone asking gets the exact same, up-to-the-minute number derived from the single, agreed-upon logic baked into the materialized view. This eliminates discrepancies and builds trust in shared metrics.
Continuous data pipeline: RisingWave excels at ingesting, processing, and transforming streaming data, while Fabi.ai provides the tools to analyze, visualize, and act on those streams without complex integration work.
Democratized real-time analytics: The combination of RisingWave's SQL-first approach and Fabi.ai's natural language interface means that more team members can participate in the analytics process without specialized training in streaming technologies or complex query languages.
Accelerated time-to-insight: With RisingWave handling the complexities of stream processing and Fabi.ai accelerating analysis through AI assistance, teams can go from raw data to actionable intelligence faster than ever before.
Streamlined infrastructure: The combined solution eliminates the need for a complex patchwork of technologies (Kafka + Flink + storage layer + analytics tool + dashboard tool), reducing operational overhead and potential points of failure.
Value Across Industries
The RisingWave and Fabi.ai partnership delivered value for a number of use cases across industries:
SaaS: Consistent Real-Time Metric Store
Challenge: A fast-growing SaaS company struggles with different teams reporting different numbers for the same KPIs during executive meetings, causing confusion and delayed decisions.
Solution:
The data engineering team defines standardized DAU, MAU, and conversion rate logic in RisingWave's continuously updated materialized views
Fabi.ai connects to these views, allowing executives, product managers, and analysts to query these metrics using natural language
When the CMO asks "What was our conversion rate yesterday?" everyone sees the exact same trusted number, calculated from the canonical definition
Outcome: Fewer debates about whose numbers are correct, faster decision-making, and increased trust in data across the organization.
Manufacturing: Real-Time Operational Monitoring
Challenge: When production incidents occur, engineers waste precious minutes constructing complex queries to diagnose the problem while services remain degraded.
Solution:
RisingWave tracks crucial system health indicators like error rates, latency percentiles, and resource utilization in near real-time through materialized views
During incidents, on-call engineers use Fabi.ai's natural language interface to rapidly query this fresh, reliable data
Questions like "Show me error rates by service for the last 30 minutes" get immediate, accurate responses without complex manual queries
Outcome: Faster incident resolution, reduced downtime, and less stress during critical situations.
E-Commerce & Retail: Inventory Management
Challenge: Retailers struggle to maintain accurate inventory and personalization when customer behavior and stock levels change rapidly throughout the day.
Solution:
RisingWave processes streaming data from inventory systems, customer interactions, and checkout processes
Fabi.ai enables AI-powered demand forecasting and anomaly detection for inventory discrepancies
Operations teams can ask natural language questions about current stock levels and trending products
Outcome: Reduced stockouts, more relevant personalized recommendations, and improved customer satisfaction.
Fintech & Banking: Fraud Monitoring
Challenge: Financial institutions need to detect fraud in real-time while maintaining consistent risk metrics across the organization.
Solution:
RisingWave continuously processes transaction streams, applying fraud detection rules in real-time
Fabi.ai's machine learning capabilities enhance detection accuracy by identifying subtle patterns
Risk analysts can ask questions like "Show me the highest risk transactions in the last hour" and get consistent, up-to-date results
Outcome: Reduced fraud losses, consistent risk reporting, and faster investigation of suspicious activities.
Getting Started
Implementing the combined RisingWave and Fabi.ai solution is straightforward:
Set up RisingWave to ingest your data streams using standard connectors or custom integrations
Define your key metrics as materialized views in RisingWave using standard SQL
Connect Fabi.ai to your RisingWave instance using native SQL connectivity
Conduct your first analysis in a Smartbook in Fabi.ai, leveraging SQL, Python, and AI capabilities
Deploy automated insights to your team using Slack and email integrations
An End-to-End Real-Time Data Analysis Engine
The partnership between RisingWave and Fabi.ai represents a significant step forward in making real-time analytics both accessible and trustworthy. By combining RisingWave's streaming expertise and consistent metric definitions with Fabi.ai's intuitive interface, we're eliminating both the technical barriers and the organizational confusion that traditionally plague data initiatives.
As data volumes continue to grow and business conditions change ever more rapidly, the ability to process, analyze, and act on information in real-time with confidence will only become more critical. With RisingWave and Fabi.ai, you now have a comprehensive solution that ensures everyone in your organization is working from the same playbook with fresh, reliable data, and that data practitioners are able to share those insights with their business partners in a collaborative environment.
Ready to transform how your organization handles real-time data? Contact us today to learn how the RisingWave and Fabi.ai partnership can accelerate your analytics journey and build trust in your metrics.
