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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 Matia?

Matia stands out as an all-encompassing DataOps platform designed to enhance modern data management by unifying critical functions into a single, integrated system. By combining ETL, reverse ETL, data observability, and a data catalog, it eliminates the dependency on disparate tools, thus addressing the complexities of managing fragmented data environments. This platform empowers organizations to effectively and dependably transfer information from various sources to data warehouses, employing advanced ingestion features, including real-time updates and robust error management. Additionally, it ensures the reliable return of quality data to operational tools for actionable business insights. Matia places a strong emphasis on built-in observability throughout the data pipeline, equipped with features like monitoring, anomaly detection, and automated quality checks to uphold data integrity and reliability, preventing potential issues from disrupting downstream operations. Consequently, organizations experience a smoother workflow and improved data utilization throughout their processes, ultimately fostering enhanced decision-making capabilities and operational efficiency.

Media

Media

Integrations Supported

Amazon Athena
Amazon Redshift
Databricks
Datadog
Google Cloud BigQuery
MongoDB
MySQL
PagerDuty
PostgreSQL
Slack
Snowflake
Elasticsearch
Prometheus

Integrations Supported

Amazon Athena
Amazon Redshift
Databricks
Datadog
Google Cloud BigQuery
MongoDB
MySQL
PagerDuty
PostgreSQL
Slack
Snowflake
Braintree
Google Sheets
HubSpot CRM
Jira
Outreach
Productboard
Recurly

API Availability

Has API

API Availability

Has API

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
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

arcodash

Date Founded

2026

Company Location

Israel

Company Website

www.arcodash.com

Company Facts

Organization Name

Matia

Date Founded

2023

Company Location

United States

Company Website

www.matia.io

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Observability

Not specified

Categories and Features

Data Catalog

Not specified

Data Extraction

Not specified

Data Lineage

Not specified

Data Observability

Not specified

Data Replication

Not specified

DataOps

Not specified

ETL

Not specified

Reverse ETL

Not specified

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