Notes about Cutting-Edge Technologies and Everything

  Data integration tools address a wide range of use cases that rely on key data delivery capabilities. This research helps data and analytics leaders identify vendors’ relative strengths across these capabilities and select the right tool in support of their data management solutions. Key Findings All data integration tool vendors were rated as “meeting/exceeding expectations” for their support for bulk/batch data movement and streaming data integration. However, support for other data delivery styles (data virtualization and data replication, for example) is less consistently delivered across the range of products evaluated. Active metadata is now critical as organizations continue to focus on metadata-driven optimization and automation of integration flows. The cohort of products in this evaluation averaged 3.3 out of a possible 5.0. While adequate, these capabilities must improve. Data virtualization has become less prominent as a data integration delivery style, with 30% of su...

Open-source data integration started 16 years ago with Talend. Since then, the whole industry has changed. Let's compare the different actors. Open-source data integration is not new. It started 16 years ago with Talend. But since then, the whole industry has changed. The likes of Snowflake, Bigquery, Redshift have changed how data is being hosted, managed, and accessed while making it easier and a lot cheaper. But the data integration industry has evolved as well. On one hand, new open-source projects emerged, such as Singer.io in 2017. This enabled more data integration connectors to become accessible to more teams, even though it still required a significant amount of manual work.  On the other hand, data integration was made accessible to more teams (analysts, scientists, business intelligence teams). Indeed, companies like Fivetran benefited from Snowflake’s rise,  empowering non-engineering teams to set up and manage their data integration connectors by themselves, so th...