Latest news with #GoogleCloudReady–BigQuery
National Post
01-05-2025
- Business
- National Post
Treasure Data Achieves Google Cloud Ready
Article content MOUNTAIN VIEW, Calif. — Treasure Data, the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI, today announced that it has successfully achieved the Google Cloud Ready – BigQuery designation. Article content Article content Google Cloud Ready – BigQuery is a partner integration validation program that intends to help increase customer confidence in partner integrations into BigQuery, Google Cloud's autonomous data-to-AI platform. As part of this initiative, Google Cloud engineering teams validate partner integrations into BigQuery in a three-phase process: Run a series of data integration tests and compare the results against benchmarks, work closely with partners to fill any gaps, and refine documentation for mutual customers. Article content Treasure Data's Intelligent CDP, powered by AI, helps global enterprises increase revenue, reduce costs, and deliver hyper-personalized connected experiences at scale. Treasure Data was named a B2C CDP Leader by independent analyst firms such as Forrester and IDC, and powers customer engagement for over 80 Global 2000 companies, including AB InBev, Nestlé, Stellantis, and Yum! Brands. Article content With this integration, Treasure Data can extract data from Google Cloud's BigQuery, transform it using SQL or Python, and load it into Treasure Data for advanced analytics. This process centralizes BigQuery data within Treasure Data for unified access and analysis. Data from Treasure Data can also be synced back into BigQuery or other tools to activate data across various platforms. Article content Additionally, Treasure Data's Live Connect includes a zero-copy integration with BigQuery, allowing customers to access and utilize BigQuery data without the need for ETL processes, reducing compute costs while retaining security and governance. Customers have the flexibility to choose whether or not to persist a copy of the data within Treasure Data's CDP. Article content By earning this designation, Treasure Data demonstrates that it has proven its product(s) have met a core set of functional and interoperability requirements when integrating with BigQuery. This designation allows Treasure Data customers to have confidence that the Treasure Data products they use today work well with BigQuery or save time on evaluating them, if not already using. Article content The Google Cloud Ready – BigQuery designation provides Treasure Data with more opportunities to collaborate with Google Cloud's partner engineering and BigQuery teams to develop joint roadmaps. Article content 'Our collaboration with Google Cloud continues to unlock new levels of agility and insight for our customers,' said Rafa Flores, Chief Product Officer at Treasure Data. 'We're eliminating data silos and accelerating activation across the board. It's an exciting step toward a more connected, real-time experience, one where marketers and data teams can finally speak the same language. This is part of Treasure Data's ongoing commitment to delivering intelligent CDP capabilities that align closely with how companies already manage and govern data in their cloud ecosystems especially as AI is on the rise, as is the need to build on a reliable data and AI layer you can trust.' Article content Article content Article content Article content Article content Article content
Yahoo
09-04-2025
- Business
- Yahoo
PuppyGraph Achieves Google Cloud Ready Designations for BigQuery and AlloyDB
PuppyGraph earns Google Cloud Ready designations for BigQuery and AlloyDB, expanding native graph analytics to two of Google Cloud's most important data platforms. SAN FRANCISCO, April 09, 2025--(BUSINESS WIRE)--PuppyGraph, the first real-time graph query engine built to work directly on modern data lakes and warehouses, announced today that it has achieved the Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. These validations signal that PuppyGraph's platform has met Google Cloud's interoperability standards and is optimized to support high-performance graph analytics for enterprise-scale data. The Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB programs help customers identify validated partner tools that can integrate smoothly with Google Cloud services. As part of these initiatives, Google Cloud's engineering teams put partner products through a rigorous qualification process, including functional testing, performance benchmarking, and joint documentation development. By earning these designations, PuppyGraph has demonstrated that it can connect seamlessly with BigQuery and AlloyDB, enabling users to run graph queries directly on their data without needing complex ETL pipelines or specialized graph databases. PuppyGraph is the first graph query engine to offer native graph analytics directly on both BigQuery and AlloyDB, enabling teams to explore complex relationships without the overhead of data duplication or ETL. Customers can explore relationships across billions of data points—like tracking fraud networks, visualizing supply chains, or mapping security threats—without having to move or duplicate their data. PuppyGraph uniquely complements relational data systems like BigQuery and AlloyDB by adding graph-native querying capabilities using Gremlin and openCypher. Its real-time query engine supports petabyte-scale datasets and delivers sub-second performance—ideal for use cases in cybersecurity, observability, and financial services, where understanding relationships is critical. "BigQuery and AlloyDB are among the most trusted engines for enterprise-scale analytics, and we're proud to bring native graph capabilities to these platforms," said Weimo Liu, CEO of PuppyGraph. "Our goal is to make graph analytics as accessible and fast as SQL—without adding another database. These designations validate that customers can use PuppyGraph confidently with Google Cloud's most critical data services, and we're excited to keep building alongside the GCP team." Customers using BigQuery and AlloyDB can now enrich their data analytics stack with graph insights—without introducing additional complexity. PuppyGraph connects directly to Google Cloud data sources, allowing teams to ship new features faster and detect issues sooner—all while keeping their data in one place. To learn more about PuppyGraph's integrations with Google Cloud, visit the BigQuery and AlloyDB tutorial blogs. About PuppyGraph: PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, Dawn Capital, Prevalent AI, Clarivate, and more. Learn more at and follow the company on LinkedIn, YouTube and X. View source version on Contacts Media ContactZhenni Wupress@ Sign in to access your portfolio
Associated Press
09-04-2025
- Business
- Associated Press
PuppyGraph Achieves Google Cloud Ready Designations for BigQuery and AlloyDB
PuppyGraph, the first real-time graph query engine built to work directly on modern data lakes and warehouses, announced today that it has achieved the Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. These validations signal that PuppyGraph's platform has met Google Cloud's interoperability standards and is optimized to support high-performance graph analytics for enterprise-scale data. This press release features multimedia. View the full release here: The Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB programs help customers identify validated partner tools that can integrate smoothly with Google Cloud services. As part of these initiatives, Google Cloud's engineering teams put partner products through a rigorous qualification process, including functional testing, performance benchmarking, and joint documentation development. By earning these designations, PuppyGraph has demonstrated that it can connect seamlessly with BigQuery and AlloyDB, enabling users to run graph queries directly on their data without needing complex ETL pipelines or specialized graph databases. PuppyGraph is the first graph query engine to offer native graph analytics directly on both BigQuery and AlloyDB, enabling teams to explore complex relationships without the overhead of data duplication or ETL. Customers can explore relationships across billions of data points—like tracking fraud networks, visualizing supply chains, or mapping security threats—without having to move or duplicate their data. PuppyGraph uniquely complements relational data systems like BigQuery and AlloyDB by adding graph-native querying capabilities using Gremlin and openCypher. Its real-time query engine supports petabyte-scale datasets and delivers sub-second performance—ideal for use cases in cybersecurity, observability, and financial services, where understanding relationships is critical. 'BigQuery and AlloyDB are among the most trusted engines for enterprise-scale analytics, and we're proud to bring native graph capabilities to these platforms,' said Weimo Liu, CEO of PuppyGraph. 'Our goal is to make graph analytics as accessible and fast as SQL—without adding another database. These designations validate that customers can use PuppyGraph confidently with Google Cloud's most critical data services, and we're excited to keep building alongside the GCP team.' Customers using BigQuery and AlloyDB can now enrich their data analytics stack with graph insights—without introducing additional complexity. PuppyGraph connects directly to Google Cloud data sources, allowing teams to ship new features faster and detect issues sooner—all while keeping their data in one place. To learn more about PuppyGraph's integrations with Google Cloud, visit the BigQuery and AlloyDB tutorial blogs. About PuppyGraph: PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, Dawn Capital, Prevalent AI, Clarivate, and more. Learn more at and follow the company on LinkedIn, YouTube and X. [email protected] SOURCE: PuppyGraph Copyright Business Wire 2025. PUB: 04/09/2025 09:30 AM/DISC: 04/09/2025 09:31 AM
