CIO Bulletin
5 Best Big Data Companies 2025
Company | Management | Description |
---|---|---|
Digiterre www.digiterre.com |
Ian Murrin Founder & CEO |
Digiterre is a leading global software and data engineering consultancy that helps organizations maximize the power of big data, cloud technologies, and software modernization. Digiterre brings its expertise in helping businesses transform operations by becoming more agile and utilise data-driven insights for competitive advantage after 24 years of experience. |
BigTapp www.bigtappanalytics.com |
Venkata Narayanan Founder & CEO |
BigTapp uses big data, AI, and machine learning to give businesses with tailored data solutions. BigTapp offers Data engineering, analysis and digital transformation services with a focus on optimizing operations, augmenting decision making and staying competitive in a data driven world. |
Quantta www.quantta.com |
Ritesh Bawri Founder & CEO |
Big data and machine learning power Quantta to give businesses real-time insights. By providing its platform, diverse data sources are integrated to enable smarter decision making, predictive analytics, and personalized strategies to fuel growth, reduce operational costs, and maximize chances to lead in a competitive market. |
Confluent www.confluent.io |
Jay Kreps Co-Founder & CEO |
Confluent’s advanced platform – which integrates, processes, and governs data across applications – has revolutionized real-time data connectivity. One of the world’s most innovative brands, the company delivers its cloud-native solutions, ranging from Confluent Cloud to ensure faster decisions, more AI applications, and seamless hybrid cloud integrations to industry leading productivity and innovation. |
GridGain www.gridgain.com |
Eoin O’Connor President & CEO |
GridGain delivers real time, scalable data platforms with ultra low latency and distributed processing to help businesses make quick smart decisions at speed. Leading enterprises have entrusted its memory-first architecture supporting high speed transactions, analytics, and AI/ML integration, as it is supported for digital transformation and innovation. |
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