In this week’s real-time analytics news, FICO and AWS will team up to bring more organizations the power of AI-driven, automated decision workflows.
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FICO announced that it has signed a new strategic collaboration agreement with Amazon Web Services (AWS). The agreement builds on the longstanding collaboration between the two firms, under which they advance businesses’ digital transformation and power customer connections.
Under the new agreement, FICO and AWS will amplify their work to bring more organizations the power of AI-driven, automated decision workflows with the FICO Platform, which runs on AWS.
Additionally, FICO will broaden its participation in AWS partner programs to accelerate client adoption of the FICO Platform. FICO solutions will also be available through AWS Marketplace Private Offers. The first of these solutions, FICO Decision Modeler, is now available in AWS Marketplace.
Real-time analytics news in brief
Amazon Web Services (AWS) announced the general availability of Amazon Aurora DSQL, a serverless, distributed SQL database that enables customers to easily create databases to build applications with the highest availability, multi-region strong consistency, PostgreSQL compatibility, and read and write speeds up to 4x faster than other popular distributed SQL databases.
With Aurora DSQL, customers do not have to make trade-offs between latency, consistency, and SQL. Using the solution, all transactions written in one Region are reflected in other Regions with strong consistency. So, customers no longer have to worry about operational tasks like provisioning, patching, and managing database instances, and all updates occur with zero downtime and no impact on performance.
Anomalo announced that it has added an innovation, Workflows, to its Unstructured Data Monitoring solution and made the entire product generally available. Anomalo Workflows is a hub for managing and monitoring unstructured data, moving the product beyond just being a platform for data quality. Using the solution, customers can identify and correct quality issues like duplicates, errors, PII, and abusive language; analyze large volumes of unstructured content to uncover patterns and extract meaningful insights; convert unstructured content into structured data ready for downstream analytics and Gen AI workflows; and more.
DataRobot announced syftr, an open-source framework designed to identify performant agentic workflows for commercial use. Syftr empowers AI practitioners to programmatically discover and implement the best combinations of components, parameters, tools, and strategies for agentic use cases optimized for accuracy, processing speed, and cost.
dbt Labs announced a new suite of AI-enhanced features that give data analysts a fast and governed way to explore data and deliver insights within dbt’s workflows. These new capabilities empower analysts across a range of technical backgrounds to lean on natural language or visual interfaces to build, explore, and validate data in the same version-controlled environment trusted by data teams.
In other dbt Labs news, the company also unveiled its new dbt Fusion engine, launched its VS Code extension, unlocking broad access to the power of Fusion for local developers, and is introducing a free, source-available version of the Fusion engine with a subset of features.
Kurrent announced the launch of the open-source KurrentDB MCP Server, which makes it possible for developers to use AI agents to interact with data inside KurrentDB without writing code. The solution features self-correction when prototyping, allowing developers to test projection logic and help debug issues through conversational commands. Additionally, the solution is compatible with all frontier AI models and released under an MIT license for community contribution and enterprise adoption without licensing restrictions.
Monte Carlo announced the launch of unstructured data monitoring, a new capability that enables organizations to ensure trust in their unstructured data assets across documents, chat logs, images, and more, all without needing to write a single line of SQL. Supported warehouse and lakehouse technologies include Snowflake, Databricks, and BigQuery, with native integration into each platform’s respective LLM or AI function libraries.
Sisense announced Sisense Intelligence, a suite of AI-powered tools that empowers organizations to extract insights from their data. At its core is the assistant, an AI-first interface designed to simplify end-to-end analytics creation for all users. The assistant is complemented by a robust suite of GenAI capabilities that make analytics more accessible and actionable. By embedding AI-powered analytics directly into workflows where decisions are made, the solution helps organizations turn data into business-critical insights.
Snowplow announced the launch of Snowplow Signals, a real-time customer intelligence system that enables companies to build and deploy AI-powered customer experiences much faster. Signals provides applications with access to deep, real-time, trustworthy customer context, making it easier to hyper-personalize user journeys and equip AI agents to overcome the “cold start problem” and drive more relevant interactions.
Partnerships, collaborations, and more
Salesforce announced it will acquire Informatica. The combination of Informatica’s rich data catalog, data integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) services with the Salesforce platform will establish a unified architecture for agentic AI, enabling AI agents to operate safely, responsibly, and at scale across the modern enterprise.
Immuta announced native support for PostgreSQL on Amazon RDS and Amazon Aurora PostgreSQL-Compatible Edition. Now available in public preview, this expanded integration enables faster, safer, and more scalable access to PostgreSQL data on AWS through Immuta’s automated policy enforcement and centralized data marketplace.
MariaDB announced the acquisition of Finnish-based company Codership Oy and its flagship product, Galera Cluster, a high-availability database solution providing high uptime, no data loss, and scalability for database growth. Galera Cluster works with both MariaDB and MySQL database environments. Both versions will be maintained for the time being, and users should experience no change.
MinIO announced AIStor support for Amazon’s S3 Express API, a streamlined version of the general-purpose S3 API designed to deliver maximum performance for AI and data-intensive analytics workloads. MinIO AIStor is the first data storage platform to adopt Amazon’s S3 Express API and enable organizations to put all of their analytical and AI data, not just a subset, in “express mode” at no extra cost.
Teradata announced a new partnership with Fivetran to simplify data integration for customers by automating the movement of data from hundreds of sources across the enterprise into Teradata. By enabling data from disparate sources to seamlessly centralize on the Teradata VantageCloud platform, Teradata and Fivetran empower customers to leverage all their data for complex AI workloads and drive trusted AI at scale.
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 May 24
- Real-time Analytics News for the Week Ending May 17
- Real-time Analytics News for the Week Ending May 10
- Real-time Analytics News for the Week Ending May 3
- Real-time Analytics News for the Week Ending April 26
- Real-time Analytics News for the Week Ending April 19
- Real-time Analytics News for the Week of April 12
- Real-time Analytics News for the Week Ending April 5
- Real-time Analytics News for the Week Ending March 29
- Real-time Analytics News for the Week Ending March 22
