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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 Validio?

Evaluate the application of your data resources by concentrating on elements such as their popularity, usage rates, and schema comprehensiveness. This evaluation will yield crucial insights regarding the quality and performance metrics of your data assets. By utilizing metadata tags and descriptions, you can effortlessly find and filter the data you need. Furthermore, these insights are instrumental in fostering data governance and clarifying ownership within your organization. Establishing a seamless lineage from data lakes to warehouses promotes enhanced collaboration and accountability across teams. A field-level lineage map that is generated automatically offers a detailed perspective of your entire data ecosystem. In addition, systems designed for anomaly detection evolve by analyzing your data patterns and seasonal shifts, ensuring that historical data is automatically utilized for backfilling. Machine learning-driven thresholds are customized for each data segment, drawing on real data instead of relying solely on metadata, which guarantees precision and pertinence. This comprehensive strategy not only facilitates improved management of your data landscape but also empowers stakeholders to make informed decisions based on reliable insights. Ultimately, by prioritizing data governance and ownership, organizations can optimize their data-driven initiatives successfully.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Microsoft Teams
PagerDuty
PostgreSQL
SQL Server
Slack
Snowflake
Amazon Athena
Anthropic
CockroachDB
Discord
Google Chat
InfluxDB

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Microsoft Teams
PagerDuty
PostgreSQL
SQL Server
Slack
Snowflake
Amazon Kinesis
Amazon S3
Apache Kafka
Azure Data Lake
Azure Synapse Analytics

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

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

Validio

Date Founded

2019

Company Website

validio.io

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Observability

Not specified

Categories and Features

Anomaly Detection

Not specified

Data Catalog

Not specified

Data Lineage

Not specified

Data Observability

Not specified

Data Quality

Not specified

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