Press releases
Neo4j Appoints AWS and Oracle Veteran Ish Thukral as General Manager for India and SAARC
Strategic hire marks a deeper commitment and investment in the region as enterprises turn to knowledge graphs to power AI NEW DELHI, India – July 31, 2025 – Neo4j®, the world’s leading graph database and analytics company, announced the appointment…
July 31, 2025: Neo4j Appoints AWS and Oracle Veteran Ish Thukral as General Manager for India and SAARCNeo4j Launches Industry’s First Graph Analytics Offering For Any Data Platform
Serverless offering with 65+ ready-to-use algorithms boosts model accuracy by up to 80% and delivers 2X deeper insights – no graph expertise needed SAN MATEO, Calif. – May 7, 2025 – Neo4j®, the world’s leading graph database and analytics company,…
May 7, 2025: Neo4j Launches Industry’s First Graph Analytics Offering For Any Data PlatformNeo4j Achieves AWS Competency Partner Status in 4 Software Categories
Competencies & participation in 3 new AWS initiatives accelerate graph solutions on AWS for more powerful predictions & insights SAN MATEO, CALIF. – Dec 4, 2024 – Neo4j®, one of the world’s leading graph database and analytics companies, announced today…
December 4, 2024: Neo4j Achieves AWS Competency Partner Status in 4 Software CategoriesNeo4j Surpasses $200M in Revenue, Accelerates Leadership in GenAI-Driven Graph Technology
Database pioneer continues to scale at $2B+ valuation as GenAI accelerates demand SAN MATEO, Calif. – November 19, 2024 – Neo4j®, the world’s leading graph database and analytics company, announced that it has surpassed $200 million in annual recurring revenue…
November 19, 2024: Neo4j Surpasses $200M in Revenue, Accelerates Leadership in GenAI-Driven Graph TechnologyNeo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
New capabilities, new offerings, & 15X read capacity increase make the industry’s most comprehensive graph offering easier to try, build & buy NEW YORK, Calif. – Sept 4, 2024 – Graph database and analytics leader Neo4j® today announced a major…
September 4, 2024: Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the EnterpriseNeo4j Announces Collaboration with Snowflake for Advanced AI Insights and Predictive Analytics
Neo4j knowledge graphs, graph algorithms, and ML tools are fully integrated within Snowflake – with zero ETL & requiring no specialist graph expertise SAN FRANCISCO, Calif. – June 4, 2024 – Graph database and analytics leader Neo4j® today announced at…
June 4, 2024: Neo4j Announces Collaboration with Snowflake for Advanced AI Insights and Predictive AnalyticsNeo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with Knowledge Graphs
Released today, first IDJC ElectionGraph report reveals the biggest spenders on social media political ads, their affiliations and patterns in their content SAN MATEO, Calif. – May 7, 2024 – Neo4j®, the world’s leading graph database and analytics company, today…
May 7, 2024: Neo4j Awards Technology Grant to Syracuse University for Mapping Misinformation Trends in 2024 U.S. Elections with Knowledge GraphsNeo4j Welcomes New GQL International Standard in Major Milestone for Database Industry
First database query language to be certified since SQL in 1987, signifying the maturity and omnipresence of graph technology SAN MATEO, Calif. – April 17, 2024 – Neo4j®, the world’s leading graph database and analytics company, is celebrating the publication…
April 17, 2024: Neo4j Welcomes New GQL International Standard in Major Milestone for Database IndustryNeo4j Partners with Google Cloud to Launch New GraphRAG Capabilities for GenAI Applications
New native integrations combined with Neo4j knowledge graphs speed GenAI development and improve deployment success rates SAN MATEO, Calif. – April 9, 2024 – Neo4j®, the world’s leading graph database and analytics company, announced new native integrations with Google Cloud…
April 9, 2024: Neo4j Partners with Google Cloud to Launch New GraphRAG Capabilities for GenAI Applications