Classification: InBrief
VirtualWisdom 6.0: Hybrid Infrastructure Management
01 Mar 2020What makes VirtualWisdom 6.0 very powerful, in Bloor’s opinion, is the way in which it maps applications to…
Continue ReadingMcObject eXtremeDB
28 Feb 2020McObject eXtremeDB is an embedded (less than 200 KB footprint) hybrid in-memory and persistent database designed specifically to…
Continue ReadingQuasarDB
28 Feb 2020QuasarDB is a NewSQL (looks relational and uses SQL but isn’t) column-oriented, time-series, distributed database that uses a…
Continue ReadingTimescaleDB
28 Feb 2020TimescaleDB is built on top of PostgreSQL as a database intended to specifically support the requirements of time-series…
Continue ReadingVictoria Metrics (Prometheus)
28 Feb 2020VictoriaMetrics offers long-term remote storage for Prometheus, which is a Linux Foundation open source time-series database and monitoring…
Continue ReadingKx Systems kdb+ and Kx Technology
28 Feb 2020Kx is built on the kdb+ database, an in-memory columnar database with both streaming and time-series capabilities. Kx…
Continue ReadingFaunaDB
28 Feb 2020FaunaDB is a serverless cloud database that offers global access to data via APIs such as GraphQL without…
Continue ReadingInterana
28 Feb 2020Interana is a self-service platform for “behavioural discovery and analysis” that is intended for use by business analysts.…
Continue ReadingCrateDB (February 2020)
28 Feb 2020CrateDB is targeted specifically at IoT applications and ingesting and processing machine data and it can be deployed…
Continue ReadingTeradata Vantage 4D (February 2020)
28 Feb 2020By 4D Analytics Teradata means geo-spatial capabilities, which are three-dimensional, plus time, which is the fourth dimension, with…
Continue ReadingInfluxDB
28 Feb 2020InfluxDB is a time series database that has been designed that way, as opposed to a relational (or…
Continue ReadingTrendalyze (February 2020)
28 Feb 2020Trendalyze describes its core capability as the discovery of motifs (micro-trends) and anomalies within time series data. Experience…
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