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What is arcodash?

Arcodash is an innovative cloud application designed for business intelligence and data observability, serving teams that need collaborative SQL reporting and validation of the data underpinning their dashboards. Users have the ability to link to multiple databases, data warehouses, and other data sources, allowing them to explore their data through a SQL editor or simpler plain language queries while producing visual outputs like charts, tables, metrics, and detailed dashboards. The platform guarantees that reports are consistently updated through scheduled refreshes. Furthermore, data monitors can assess various parameters, including data freshness, row counts, null rates, duplicate entries, and query limits, sending alerts via multiple channels such as email, Slack, and other messaging platforms. With sophisticated AI capabilities, the tool assists in formulating SQL queries, suggesting visualizations, and clarifying alerts based on the organization's chosen model provider. This service is meticulously crafted for data and analytics teams dedicated to generating meaningful reports and upholding rigorous data quality standards. In essence, Arcodash is a crucial asset for empowering organizations to make informed, data-driven decisions, while also streamlining the reporting process for enhanced productivity.

What is Actian Data Observability?

Actian Data Observability is a cutting-edge platform that utilizes artificial intelligence to continuously monitor, validate, and uphold the integrity, quality, and reliability of data within modern data ecosystems. This platform features automated Data Observability Agents that evaluate the data as it flows into data lakehouses or warehouses, allowing for the detection of anomalies, clarification of root causes, and support for problem-solving before these issues can disrupt dashboards, reports, or AI applications. By offering real-time insights into data pipelines, it ensures that data remains accurate, complete, and trustworthy throughout its lifecycle. In contrast to conventional techniques that rely on sampling, this system eliminates blind spots by overseeing the full spectrum of data, enabling organizations to identify hidden errors that could undermine analytics or machine learning outcomes. Additionally, its built-in anomaly detection, powered by AI and machine learning, facilitates the prompt identification of irregularities, such as schema changes, data loss, or unexpected distributions, which accelerates the diagnosis and rectification of issues. Ultimately, this forward-thinking methodology greatly increases the confidence organizations have in their data-driven decisions, fostering a culture of data reliability and integrity. Furthermore, as companies continue to depend on data for strategic planning, such a robust observability framework becomes indispensable in navigating the complexities of today’s data landscape.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
MongoDB
PostgreSQL
SQL Server
Snowflake
Discord
InfluxDB
MariaDB
Microsoft Teams
MySQL
OpenAI
SQLite
TiDB

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
MongoDB
PostgreSQL
SQL Server
Snowflake
Amazon S3
Amazon Web Services (AWS)
Apache Hudi
Google Analytics
Google Cloud Platform

API Availability

Has API

API Availability

Pricing Information

$59/month
Team costs $59/month or $600/year and includes unlimited seats, one data source, 1,500 monthly query runs, 25 monitors, and refreshes and checks as often as daily. Org costs $300/month or $3,000/year and includes unlimited seats, unlimited data sources, query runs, and monitors, with any schedule. Both plans include a 14-day free trial with no credit card.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

arcodash

Date Founded

2026

Company Location

Israel

Company Website

www.arcodash.com

Company Facts

Organization Name

Actian

Date Founded

1980

Company Location

United States

Company Website

www.actian.com/data-observability/

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Observability

Not specified

Categories and Features

Data Observability

Not specified

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