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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 DataKitchen DataOps Automation?

DataKitchen is a data quality, observability, and DataOps automation platform developed to help organizations manage reliable data pipelines and analytics processes. The platform combines automated testing, operational monitoring, workflow orchestration, and deployment management across existing enterprise data infrastructure. Its DataOps Data Quality TestGen product profiles database tables and columns to identify data characteristics, detect anomalies, and automatically generate validation tests. TestGen analyzes 55 column characteristics and supports 34 automatically generated test types, along with configurable business rules and custom SQL validations. Data quality monitoring helps teams identify issues involving missing values, duplicate records, schema changes, unusual data distributions, and other conditions that may affect analytics accuracy. DataOps Process Observability monitors the complete journey of data from source systems through transformation pipelines and analytical applications to downstream consumers. Its unified event monitoring capabilities collect execution statuses, operational metrics, logs, and test outcomes from connected data tools to provide visibility into pipeline health. Rule-based alerting notifies teams about failures, late data arrivals, and test regressions through integrations with email, Slack, Microsoft Teams, and Jira. DataOps Automation enables organizations to coordinate pipelines across different tools, create isolated development environments, reuse workflow components, and automate deployment from development through production. The platform supports integrations with Snowflake, Databricks, BigQuery, Amazon Redshift, PostgreSQL, Airflow, dbt, Azure Data Factory, and other data engineering technologies.

Media

Media

Integrations Supported

Google Cloud BigQuery
PostgreSQL
SQL Server
Slack
Snowflake
Amazon Athena
Amazon Redshift
Anthropic
CockroachDB
Discord
Elasticsearch
Google Chat
InfluxDB
MongoDB
OpenAI
SQLite

Integrations Supported

Google Cloud BigQuery
PostgreSQL
SQL Server
Slack
Snowflake
Docker
Git
Jenkins
Kubernetes

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

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

arcodash

Date Founded

2026

Company Location

Israel

Company Website

www.arcodash.com

Company Facts

Organization Name

DataKitchen

Date Founded

2013

Company Location

United States

Company Website

datakitchen.io

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Observability

Not specified

Categories and Features

Automated Testing

Not specified

Data Observability

Not specified

Data Pipeline

Not specified

Data Quality

Not specified

DataOps

Not specified

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