Data Management News for the Week of August 1; Updates from Actian, dbt Labs, Snowflake & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of August 1, 2025.

Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.

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Top Data Management News for the Week Ending August 1, 2025

Actian Study Finds Data Governance Maturity Overestimated—A Red Flag for AI Investment

A new Actian study reveals a significant disconnect between organizations’ perceived and actual data governance maturity, posing real risks to successful AI adoption. Despite 81 percent rating their governance highly, most lack the critical visibility, policies, and trust needed for reliable data—ultimately slowing AI initiatives. Actian calls for renewed focus on data quality and governance frameworks to unlock AI’s full potential and protect investments.

Read the full story: https://www.actian.com/company/press-releases/new-actian-study-finds-organizations-overestimate-data-governance-maturity-posing-risk-to-ai-investments/

Amazon DocumentDB Serverless Delivers Simpler, Cost-Optimized Operations

Amazon has launched DocumentDB Serverless, providing a fully managed MongoDB-compatible database platform that automatically scales compute and storage to meet demand. The new offering optimizes costs, eliminates manual capacity planning, and simplifies operations for developers building modern applications.

Read the full story: https://press.aboutamazon.com/aws/2025/7/new-amazon-documentdb-serverless-simplifies-operations-and-optimizes-costs

Arctera Removes Barriers to Responsible AI Adoption for Enterprises

Arctera is taking aim at the challenges of responsible AI adoption by unveiling new tools and guidance to help enterprises securely and ethically deploy AI. Their latest solutions ensure robust compliance, transparency, and risk monitoring, helping organizations bridge the gap between innovation and responsible governance.

Read the full story: https://www.businesswire.com/news/home/20250729849409/en/Arctera-Removes-Barriers-to-Responsible-AI-Adoption

Cleo Revolutionizes EDI Managed Services with AI-Driven Enhancements

Cleo has unveiled major AI-powered capabilities for its EDI managed services, automating complex integration workflows, enabling faster partner onboarding, and boosting data accuracy and transaction visibility for supply chain and logistics customers. The new AI features aim to reduce manual intervention and enhance agility in business-critical data exchanges.

Read the full story: https://www.cleo.com/news-cleo-revolutionizes-edi-managed-services-with-ai

Confluent Commits $200 Million to Supercharge Global Partner Ecosystem

Confluent has announced a $200 million investment over the next three years to scale its global partner ecosystem, aiming to empower cloud providers, ISVs, integrators, and MSPs to embed data streaming more strategically into their offerings. With the surge in demand for real-time data infrastructure to support AI adoption, Confluent’s initiative will expand platform integrations, accelerate go-to-market efforts, and help partners deliver innovative, AI-ready streaming solutions across industries.

Read the full story: https://www.businesswire.com/news/home/20250730835484/en/Confluent-Announces-%24200-Million-Investment-Across-Its-Global-Partner-Ecosystem

dbt Labs Signs Strategic Collaboration Agreement with AWS

dbt Labs has entered a strategic agreement with AWS to accelerate innovation in analytics engineering through deeper integration of dbt Cloud on AWS. The partnership will focus on delivering enhanced capabilities, security, and scalability for global customers, facilitating faster and more robust data transformation and modeling within the AWS ecosystem.

Read the full story: https://www.prnewswire.com/news-releases/dbt-labs-signs-strategic-collaboration-agreement-with-aws-302515662.html

Elastic Unveils New ES|QL Features for Cross-Cluster Scale and Data Enrichment

Elastic has announced major upgrades to ES|QL, including general availability for cross-cluster search—allowing users to query petabytes of data across multiple Elasticsearch clusters with a single, elegant query. Enhanced observability features now include ES|QL query logs and real-time monitoring APIs, while granular profiling tools assist with debugging and performance analysis, providing a comprehensive and scalable approach for enterprise search and analytics.

Read the full story: https://www.bigdatawire.com/this-just-in/elastic-delivers-new-esql-features-for-cross-cluster-scale-data-enrichment-and-performance/

Informatica Boosts AI Capabilities with Summer 2025 Cloud Platform Release

Informatica has unveiled advanced features for its Intelligent Data Management Cloud platform, including enhanced AI-powered data integration, governance, quality, master data management, and iPaaS. The release introduces natural language Q&A, pipeline-building with prompts, broader connectivity to platforms like Microsoft Fabric, and expanded catalog integrations. These updates are designed to streamline enterprise-wide access to AI-ready data, enabling faster and more transparent data management.

Read the full story: https://www.informatica.com/about-us/news/news-releases/2025/07/20250731-informatica-boosts-ai-capabilities-with-latest-intelligent-data-management-cloud-platform-release.html

Snowflake Announces Snowpark Connect Preview for Apache Spark

Snowflake has launched the preview release of Snowpark Connect for Apache Spark, allowing data teams to connect Spark workloads directly into the Snowflake Data Cloud. The integration enables secure, scalable analytics with unified governance, letting users leverage both existing Spark code and Snowflake’s ecosystem for advanced AI and ML use cases.

Read the full story: https://www.snowflake.com/en/blog/snowpark-connect-apache-spark-preview/

Treasure Data Expands Agentic AI Ecosystem with Amazon Bedrock Integration

Treasure Data has expanded its agentic AI ecosystem by enhancing scalability, security, and business impact through seamless integration with Amazon Bedrock’s generative AI capabilities. The upgrades empower enterprises to deploy AI-powered decision-making at scale while ensuring trust, control, and actionable business outcomes.

Read the full story: https://www.businesswire.com/news/home/20250728716593/en/Treasure-Data-Expands-on-Its-Agentic-Ecosystem-Bringing-Trust-Scalability-and-Business-Impact-to-Enterprises-with-Generative-AI-Powered-by-Amazon-Bedrock

Expert Insights

 Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

Issue 4: What Makes an AI Governance Framework Work by Irina Steenbeek

An effective AI governance framework is grounded in core principles such as accountability, fairness, reliability, transparency, human oversight, privacy, and security. These principles provide the ethical and operational backbone for responsible AI use.

Read on Solutions Review

The Future of the CDO by Samir Sharma

There’s a growing chorus online proclaiming the death of the CDO. Let’s be honest here, this was always going to happen to any role that stayed in the shadows of infrastructure, tech delivery, or governance. The CDO was meant to be a commercial catalyst, not just the data owner.

Read on Solutions Review

Data Governance on a Shoestring Budget by Nicola Askham

Budgets are tight. People want Data Governance, but they don’t always have the time, team, or money to implement it properly. So how do you move forward when the pressure is high but the resources are low? You take a minimal approach.

Read on Solutions Review

On-Demand: Insight Jam‘s Friday Jam Session with Wayne Eckerson, Carlos Bossy, Elliott Cordo & Joshua Bartels: How to Blend Software and Data Engineering on a Single Team

As software applications become more data-driven, the worlds of software engineering and data engineering are colliding–and not always in a good way! These two sets of engineers often see and approach application development in different ways. This can lead to friction and outright conflict that can torpedo a project if not managed properly.

Watch on YouTube

For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.