EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.
EventQL runs on OSX and Linux. You can download the binaries or build the code from scratch. Please refer to the documentation for further instructions.
$ ./evqld --listen 0.0.0.0:9175 --datadir /srv/evql --standalone
While EventQL is a distributed database first and foremost it also implements a standalone mode so you can quickly get it running on your development machine.
Download EventQL 0.4.3 Read the DocumentationThis is a quick run-through of EventQL's key features to get you excited. For more detailed information on these topics and their caveats you are kindly referred to the documentation.
Here are a few example scenarios that are particularly well suited to EventQL's design:
Note that EventQL is built around specific design choices that make it an excellent fit for real-time data analytics processing (OLAP) tasks, but also mean it's not well suited for most transactional (OLTP) workloads.
Hate vendor lock-in? Us too! The EventQL™ codebase is well documented and available under the open-source AGPL v3 license. Still, DeepCortex GmbH is happy to offer unparalleled access to EventQL brain power by the employer of all core EventQL developers.
EventQL Cloud is a fully managed and hosted version of EventQL. Let us worry about where and how your data infrastructure runs and focus on getting results. Currently in private beta.
Have a question? Talk to us about setup, integrations, feature requests and 24/7 on-call support for on-premise deployments. sales@eventql.io
EventQL 0.4.0 is out and is ready for deployment. This release contains a lot of new features and fixes since 0.3, and is a recommended upgrade for all 0.3 users.
In the last post we saw that in order to execute interactive queries on a large data set we have to split the data up into smaller partitions and put each partition on it's own server. This way we can utilize the combined processing power of all servers to answer the query rapidly.
Welcome to our new blog! Today's article is the first in a series of posts discussing the architecture and implementation of massively parallel databases such as Vertica [0], BigQuery [1] and EventQL [2]