Civis Analytics Platform logo

Civis Analytics Platform

by Civis Analytics · Since 2013
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ActiveAvailable globallyCloud
Quick facts
VendorCivis Analytics
Year launched2013
StatusActive
Location200 W. Monroe St. 22nd Floor Chicago IL 60606
Countries servedGlobal
Languages1
Integrations54+
Free tierN/A
Free trialN/A
Contact salesYES

About Civis Analytics Platform

Civis Analytics Platform is a data analytics software from Civis Analytics that addresses the challenges of modern data management. It combines Civis Studio, Data Warehouse, ELT & Data Ingestion, and Reporting & Self-Service Analytics so users can focus on data insights rather than integration issues. This platform provides a managed alternative to piecemeal solutions, allowing for efficient data-driven decision-making. The Civis Platform is designed to simplify the data stack, providing all necessary tools within one environment. Key capabilities: Civis Studio Data Warehouse ELT & Data Ingestion Reporting Self-Service Analytics Best for: organizations that need comprehensive data analysis and reporting solutions.

Civis Platform is a robust and versatile data science platform that empowers organizations to harness the power of their data. It offers a comprehensive suite of tools for data ingestion, preparation, exploration, visualization, machine learning, and predictive modeling. The platform's intuitive user interface, particularly the visual workflow editor, significantly lowers the barrier to entry, making it accessible to both data scientists and analysts. One of the standout features of Civis Platform is its ability to handle large-scale datasets and complex analyses efficiently. The platform's scalable architecture ensures that it can accommodate growing data volumes and increasing computational demands. Additionally, its seamless integration with various tools and technologies, including Python, R, SQL, and popular data science libraries, enhances its flexibility and versatility. Civis Platform is primarily deployed as a cloud-based solution, offering both public cloud and private cloud options. This deployment model ensures easy accessibility, scalability, and high availability. While the platform is highly capable, it's worth noting that it might have a steeper learning curve for users with complex use cases.

Pros & Cons

Pros
  • Automation & Scalability: Automates complex data workflows and scales as data grows.
  • Versatile Scripting: Supports various coding languages for flexible data processing.
  • Centralized Platform: Consolidates data sources in a single, secure environment.
  • Advanced AI Tools: Leverages AI for identity resolution and text analytics.
  • Strong Data Security: SOC 2 Type II-certified with secure cloud integrations.
Cons
  • Pricing Transparency: No clear pricing details are available, which could be a barrier for smaller organizations.
  • Learning Curve: May require technical expertise to fully utilize its features.
  • Limited In-App Marketplace: Lacks an integrated marketplace for additional features.
  • Dependency on Cloud Infrastructure: Relies heavily on cloud providers (AWS, GCP), which may limit flexibility.
  • Enterprise-Centric: Best suited for mid-to-large enterprises, possibly too complex for smaller teams.

Features

Key features

1. Workflows Automation

Build and run automated, version-controlled data workflows.

2. Language-Agnostic Scripting

Supports Python, R, SQL, dbt, JavaScript.

3. Powerful Reporting

Integration with Tableau, custom dashboards via R Shiny, Flask, Google Data Studio.

4. Flexible Imports/Exports

Supports integrations with platforms like Salesforce, Google Sheets, etc.

5. Data Cataloging

Centralize, label, and manage data sources.

6. AI-Powered Tools

Includes identity resolution and text sentiment analysis tools.

7. Geocoding/Address Standardization

Normalize and standardize address data with geocoding tools.

8. Jupyter Notebooks

Direct integration with notebooks for data exploration and model-building.

Additional features

1. Data Integration & Connectivity

Wide range of integrations, including APIs, Salesforce, Google Sheets, etc.

2. Data Warehousing

Supports AWS Redshift and GCP BigQuery for scalable data storage.

3. Security

SOC 2 Type II certified; integrates multi-factor authentication and secure cloud partnerships (AWS, Google Cloud).

4. Version Control

GitHub integration for syncing workflows, scripts, and notebooks.

5. Customizability

Bring custom Docker images or use pre-configured environments for scripting.

6. Real-time Previews

Preview data workflows in real-time before full execution.

7. Data Linkage & Enrichment

AI-powered data enrichment, including demographics and activities from surveys.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
1
Interface languages
9
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇮🇳INR🇲🇽MXN

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