Graph database solution provider Neo4j has closed an Series E round of funding at $80 million. This brings the company’s total growth funding to $160 million since 2007. The funding will be used to help the company power business applications with graph databases as well as increase the product to support popular use cases such … continue reading
Databricks has released a new unified data management system that combines the best features from data lakes, data warehouses and streaming systems. The company made the announcement at its annual Spark Summit Europe conference. Databricks Delta takes the scale and cost-efficiency from a data lake; the reliability and performance from a data warehouse, and the … continue reading
Users of the MongoDB NoSQL data store can now store graph databases in it. Today the company announced the introduction of MongoDB 3.4, and with it came a host of new features, including the ability to host graph databases. Kelly Stirman, vice president of strategy and product marketing at MongoDB, said this update focuses on … continue reading
Traditional relational databases, the powerhouse of software applications since the 1980s, work well when your data is predictable and fits well into tables, columns, rows, and wherever queries are not very join-intensive. But there are rich, connected domains all around us that relational software isn’t so well equipped at dealing with. Relational database-management systems (RDBMS) … continue reading
DataStax plans to take its key-value store and add graph capabilities with the release later this year of DataStax Enterprise Graph. On Feb. 3, DataStax snatched up the maker of the TitanDB graph database, Aurelius. The move might have been somewhat suspicious at the time, as DataStax had been focusing all of its corporate energy … continue reading
Relational databases cannot handle today’s databases complexity, but graph databases are a ready solution … continue reading
