The best Quest Data Quality alternatives

Anomalib suits developers building anomaly detection workflows for images or videos, including those who need training, benchmarking, and inference…

NetFlow Analyzer may suit organizations that monitor bandwidth, application traffic, and communication between network endpoints.

PyOD suits Python users in academic research or commercial products who need anomaly detection across varied data types.

Soda is aimed at data engineers, data producers and consumers, governance teams, and platform teams.

OpenSearch suits teams building search, observability, or security analytics applications, particularly those that need flexible deployment or want…

ObservabilityOS suits teams that need log collection, anomaly detection and incident coordination.

PySAD suits Python users building online anomaly-detection workflows for streaming univariate or multivariate data.

Metaplane may suit teams that want to monitor data quality across connected warehouses and analytics tools.

OpenUBA suits security analysts who want an open-source, self-hosted framework and visibility into how models work.

Axomaly suits teams that want to monitor business, operational, or application time-series metrics and use detection responses in existing workflows.

Flowmon suits organizations that need traffic-based threat detection, network visibility, and performance troubleshooting.

RevealX suits enterprise organizations and security or IT teams investigating threats and network performance.

ITDR is intended for security teams, security architects, security analysts, SOCs, and IAM teams.

Corelight Open NDR is intended for large enterprises and government agencies managing network and cloud security operations.

It is intended for security teams protecting organizations against email and collaboration threats while reducing SOC investigations.

Securonix UEBA suits enterprise security teams focused on investigating insider threats and advanced cyber threats.