[12] In June 2014, Actian Vortex was announced as a clustered massive parallel processing version of Vector, in Hadoop with storage in HDFS.

The basic architecture and design principles of the X100 engine of the VectorWise database were well described in two Phd theses of VectorWise founders Marcin Żukowski: "Balancing Vectorized Query Execution with Bandwidth-Optimized Storage"[15] and Sandor Héman: "Updating Compressed Column Stores",[16] under supervision of another founder, professor Peter Boncz.

The method of storing differences in patch-like structures and rewriting the stable storage in bulk made it possible to work in a filesystem like HDFS, in which files are append-only.

It was recognised by the VLDB that the project team had made great progress in implementing the ideas contained in the paper over the previous 10 years.

Over time hardware improved, with CPU speed and memory size doubling roughly every two years in accordance with Moore’s law, but that the design of traditional relational database systems had not adapted.

The CWI research team described improvements in database code and data structures to make best use of modern hardware.

[32] In March 2011, VectorWise 1.5 was released,[33] publishing a record breaking result on TPC-H 100 GB benchmark.

[39] In this release storage format was reorganized to allow storing the database in multiple location, the background update propagation mechanism from PDTs to stable storage was enhanced to allow rewriting only the changed blocks instead of full rewrites, and a new patented[40] Predictive Buffer Manager (PBM) was introduced.

[43] In March 2019, Actian Avalanche was released as a cloud data platform, with Vector as the core engine for the Warehouse offering.