Open Source Data Technologies

Open source data technologies can help companies reach their customers. These technologies are growing in popularity and the enterprise architect community is working to improve their use. Instaclustr, which provides reliability and scalability through open source data technologies, recently acquired Credativ, a provider of services and technical expertise in key open source technologies such as PostgreSQL, Kubernetes, and Debian. Its services include migration, automation, and cost optimisation.

Organizations that are considering using open source data technologies will face a variety of challenges. One of the biggest is a shortage of skilled professionals in key technology roles. Organizations can address this issue by empowering existing teams to manage open source projects and outsource the technical support and patching tasks. Alternatively, they can outsource these tasks to external providers.

Many of the vendors that offer open source software also provide as-a-service offerings for the underlying infrastructure. These services can be used by data developers to build applications without having to worry about hardware and software management. These services help companies realize business value by leveraging the power of open source technologies. For instance, Aiven offers Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, Redis, Grafana, and M3, among others.

Open-source software has boomed in the data industry in the last decade. Hadoop, for example, was one of the first open-source projects. Since then, a slew of other open-source projects have emerged, including household names like Spark, Kafka, and MongoDB.

The benefits of open source data technologies are numerous. These technologies can read any kind of data. However, some of them require a certain file format. Open specifications help ensure interoperability between programs and devices. Some open specifications include PNG, RSS, HTML, and Esri’s shapefile. Esri is an active participant in the Open Geospatial Consortium, which develops open specifications for geospatial data.

Druid is complementary to many open source data technologies. It serves as a query layer between the end-user and the storage layer. It also supports both streaming and batch ingestion. The Druid system connects to the source of raw data, converts it into a segment, indexes it, and provides a query interface.

Shotover is another open source data technology that can easily integrate into your existing data stack. It doesn’t require application changes and makes it easy for teams to use the optimal capabilities of multiple databases. It can resolve problems like slow queries for certain keys, table-data models, or poor observability while preserving core business logic.