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Showing posts with the label SaaS

The Growing Importance of Metadata Management Systems

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As companies embrace digital technologies to transform their operations and products, many are using best-of-breed software, open source tools, and software as a service (SaaS) platforms to rapidly and efficiently integrate new technologies. This often means that data required for reports, analytics, and machine learning (ML) reside on disparate systems and platforms. As such, IT initiatives in companies increasingly involve tools and frameworks for data fusion and integration. Examples include tools for building data pipelines, data quality and data integration solutions, customer data platform ( CDP ) ,   master data management , and   data markets . Collecting, unifying, preparing, and managing data from diverse sources and formats has become imperative in this era of rapid digital transformation. Organizations that invest in  foundational data technologies  are much more likely to build solid foundation applications, ranging from BI and analytics to machine learn...

Neo4j Aura: A New Graph Database as a Service

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Aura is an entirely new, built-from-the-ground-up, multi-tenant graph DBaaS based on Neo4j. It lets any developer take advantage of the best graph database in the world via a frictionless service in the cloud.  When we began building Neo4j all those years ago, we wanted to give developers a database that was very powerful, flexible… and accessible to all. We believed that open source was the best way to bring this product to developers worldwide. Since then, the vast majority of our paying customers have started out with data practitioners leading the way. Individual developers downloaded Neo4j, experimented with it, and realized graphs were an ideal way to model and traverse connected data. However, only a few of those developers had direct access to a budget to make the leap to our Enterprise Edition. Neo4j Aura bridges that gap for individuals, small teams and established startups. I believe this is the next logical step in Neo4j’s vision to help the world make sense of data....