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# Official PrestoDB image on Docker Hub FROM prestodb/presto # From https://github.com/caretdev/presto-iris/releases # Adding presto-iris plugin into the Docker image ADD https://github.com/caretdev/presto-iris/releases/download/0.1/presto-iris-0.1-plugin.tar.gz /tmp/presto-iris/presto-iris-0.1-plugin.tar.gz # From https://github.com/intersystems-community/iris-driver-distribution # Adding IRIS JDBC driver into the Docker image ADD https://raw.githubusercontent.com/intersystems-community/iris-driver-distribution/refs/heads/main/JDBC/JDK18/com/intersystems/intersystems-jdbc/3.8.4/intersystems-jdbc-3.8.4.jar /opt/presto-server/plugin/iris/intersystems-jdbc-3.8.4.jar RUN --mount=type=bind,src=.,dst=/tmp/presto-iris \ tar -zxvf /tmp/presto-iris/presto-iris-0.1-plugin.tar.gz -C /opt/presto-server/plugin/iris/ --strip-components=1
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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# Official PrestoDB image on Docker Hub FROM prestodb/presto # From https://github.com/caretdev/presto-iris/releases # Adding presto-iris plugin into the Docker image ADD https://github.com/caretdev/presto-iris/releases/download/0.1/presto-iris-0.1-plugin.tar.gz /tmp/presto-iris/presto-iris-0.1-plugin.tar.gz # From https://github.com/intersystems-community/iris-driver-distribution # Adding IRIS JDBC driver into the Docker image ADD https://raw.githubusercontent.com/intersystems-community/iris-driver-distribution/refs/heads/main/JDBC/JDK18/com/intersystems/intersystems-jdbc/3.8.4/intersystems-jdbc-3.8.4.jar /opt/presto-server/plugin/iris/intersystems-jdbc-3.8.4.jar RUN --mount=type=bind,src=.,dst=/tmp/presto-iris \ tar -zxvf /tmp/presto-iris/presto-iris-0.1-plugin.tar.gz -C /opt/presto-server/plugin/iris/ --strip-components=1
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The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known option. It originated in Facebook and was utilized for data analytics, but later became open-sourced. However, since Teradata has joined the Presto community, it offers support now.