April contributing.today: on Open Source Databases

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • Weaviate

    Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  • Weaviate has a growing community on Slack, and lots of activity on GitHub.

  • python-fake-data-producer-for-apache-kafka

    The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.

  • Gregory Stark is a Senior Open Source PostgreSQL Developer at Aiven. Postgres has a reputation for being stable and reliable. “It does all the things SQL databases are traditionally good at - live backups, replication, storage.” Originally an academic project, Postgres’ open source stewards were interested in its extensibility, the ability to merge it into any project and with any codebase. “SQL databases have been a great fit for business needs, PostgreSQL is different in that it’s developer-oriented, but today serves both needs.”

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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