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Modak and Neo4j Announce Partnership

Modak, a leading data engineering solutions provider, and Neo4j, the world’s leading graph data platform, announced a partnership that will enable enterprises to accelerate the journey from multiple data sources to data products by bringing together the capabilities of Modak Nabu and Neo4j.

According to Gartner, “By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise.”

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“With growing data volumes and increasing diversity in data sources, it is essential for enterprises to provide their users the capability to understand relationships between different data assets. The partnership with Neo4j will bring the power of knowledge graphs, visualization, and analytics to data and business teams to accelerate the creation of data products using a self-service approach,” said Milind Chitgupakar, Chief Analytics Officer, and co-founder, at Modak.

Modak Nabu enables enterprises to automate data ingestion, curation, and consumption processes at a petabyte scale. Modak Nabu™ empowers tomorrow’s smart enterprises to create repeatable and scalable business data domain products that improve the efficiency and effectiveness of business users, data scientists, and BI analysts in finding the appropriate data, at the right time, and in the right context.

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Neo4j is the modern graph data platform for today’s intelligent applications. Neo4j is the only enterprise-strength graph database that combines native graph storage, scalable speed-optimized architecture, and ACID compliance. Neo4j enables data and business teams to harness connected data and avoid complex queries. Neo4j empowers analysts and data scientists with increased ML accuracy, scalable analytics, and contextual AI – making better predictions with the data they already have.

With Modak and Neo4j partnership, enterprises will get the benefits of:

  • Faster relationship and pattern discovery in datasets using graph visualization
  • Simplified querying for data analytics with Cypher query language
  • Democratization of data access along with effective graph visualization
  • Consumption-ready curated data products
  • Self-service data engineering using a no-code/low-code platform
  • Integration of Modak Nabu with Neo4j
  • Multi-cloud and hybrid-cloud data engineering

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