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5 min read
Matthias Vallentin

VAST's Sigma frontend now supports more modifiers. In the Sigma language, modifiers transform predicates in various ways, e.g., to apply a function over a value or to change the operator of a predicate. Modifiers are the customization point to enhance expressiveness of query operations.

The new pySigma effort, which will eventually replace the now-considered-legacy sigma project, comes with new modifiers as well. Most notably, lt, lte, gt, gte provide comparisons over value domains with a total ordering, e.g., numbers: x >= 42. In addition, the cidr modifier interprets a value as subnet, e.g., Richer typing!

4 min read
Dominik Lohmann

VAST v2.1 is out! This release comes with a particular focus on performance and reducing the size of VAST databases. It brings a new utility for optimizing databases in production, allowing existing deployments to take full advantage of the improvements after upgrading.

7 min read
Matthias Vallentin

VAST bets on Apache Arrow as the open interface to structured data. By "bet," we mean that VAST does not work without Arrow. And we are not alone. Influx's IOx, DataDog's Husky, Anyscale's Ray, TensorBase, and others committed themselves to making Arrow a corner stone of their system architecture. For us, Arrow was not always a required dependency. We shifted to a tighter integration over the years as the Arrow ecosystem matured. In this blog post we explain our journey of becoming an Arrow-native engine.

One min read
Benno Evers

Dear community, we are happy to announce the release of VAST v1.1.2, the latest release on the VAST v1.1 series. This release contains a fix for a race condition that could lead to VAST eventually becoming unresponsive to queries in large deployments.

6 min read
Dominik Lohmann

Dear community, we are excited to announce VAST v1.1, which ships with exciting new features: query language plugins to exchange the query expression frontend, and compaction as a mechanism for expressing fine-grained data retention policies and gradually aging out data instead of simply deleting it.