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About

Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.

About

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

About

VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professionals, teams and companies in need of a solution to monitor their entire warehouse

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

Audience

This product is intended for. Software Engineer. DevOps Engineer. Site Reliability Engineer.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$825 per month
Free Version
Free Trial

Pricing

$199.95 per year
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Metaplane
United States
www.metaplane.dev/

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Company Information

VictoriaMetrics
Founded: 2018
United States
victoriametrics.com/products/enterprise/anomaly-detection/

Alternatives

Alternatives

Alternatives

VictoriaMetrics Cloud

VictoriaMetrics Cloud

VictoriaMetrics
VictoriaLogs

VictoriaLogs

VictoriaMetrics

Categories

Categories

Categories

Integrations

Amazon Redshift
Azure SQL Database
ClickHouse
Delphi
FreeBSD
Gmail
Google Cloud BigQuery
Looker
Metabase
Mode
Okta
PagerDuty
PostgreSQL
SQL Server
Secoda
Sigma
Slack
Snowflake
Tableau
dbt

Integrations

Amazon Redshift
Azure SQL Database
ClickHouse
Delphi
FreeBSD
Gmail
Google Cloud BigQuery
Looker
Metabase
Mode
Okta
PagerDuty
PostgreSQL
SQL Server
Secoda
Sigma
Slack
Snowflake
Tableau
dbt

Integrations

Amazon Redshift
Azure SQL Database
ClickHouse
Delphi
FreeBSD
Gmail
Google Cloud BigQuery
Looker
Metabase
Mode
Okta
PagerDuty
PostgreSQL
SQL Server
Secoda
Sigma
Slack
Snowflake
Tableau
dbt
Claim Metaplane and update features and information
Claim Metaplane and update features and information
Claim SQL Server Data Access Components and update features and information
Claim SQL Server Data Access Components and update features and information
Claim VictoriaMetrics Anomaly Detection and update features and information
Claim VictoriaMetrics Anomaly Detection and update features and information