RDS
Connect to Amazon RDS PostgreSQL or MS SQL Server to find and analyze relational data at scale. Store SQL for reuse in Coginiti’s catalog to deliver consistent results, fast.
Redshift & Redshift Serverless
Coginiti helps you analyze your data in Amazon Redshift and S3 buckets via Redshift Spectrum, use advanced analytic functions, and bulk upload data.
Aurora
Coginiti provides you with efficient functionality to analyze your Amazon Aurora PostgreSQL data. Quickly develop results using Coginiti’s built-in functionality.
Reuse Your SQL
Save your work in an active analytics catalog so you can easily reuse your SQL rather than re-write it
Find Your Work
Easily find your previous SQL assets from your query history and analytics catalog
Feature Engineering
Develop features once for re-use across your machine learning models
Collaborate with Your Team
Share your SQL work with your teammates securely
Businesses Using Coginiti with Amazon
Built with your role in mind
Use your SQL in a whole new way
- Save queries, relationships, and snippets once for reuse in SQL statements.
- Find previous work in query history or your catalog.
- Describe code with rich titles and descriptions help you remember why you wrote it in the first place.
Maintain your data warehouse
- Create data models and schemas
- Find previous work in query history or your catalog.
- Describe code with rich titles and descriptions help you remember why you wrote it in the first place.
Produce consistent reports quickly
- Spend less time rewriting SQL and more time reusing it
- Define, document, and save common analytics in your personal catalog
- Efficiently re-run analysis and reports with consistent results
Spend less time data wrangling
- Develop reusable features to train machine learning models
- Create flexible commonly used data cleansing SQ
- Use your SQL as objects to make complicated queries more simple
Case Study: Chicago Transit Authority
Summary
At CTA, we use Amazon Redshift to consolidate our other data silos for analysis and reporting. And for our ~80 user analyst community, we have standardized on Coginiti for ad-hoc analysis and insights of that Redshift data. We originally evaluated a number of Amazon-compatible SQL IDE tools, but found that Coginiti offered a service that our users could take advantage of with minimal support.
Data Import Challenge
Many of our users need to quickly upload spreadsheets or files of data for analysis and while other tools offer ability to import and export data, this often requires extra fees or was found to be a cumbersome and overly-technical implementation that was a challenge for less-technical end users.
Coginiti Approach
Coginiti’s wizard-driven approach makes this easy to quickly get data uploaded into S3/Redshift for ad-hoc analysis. This tool provided a set of guided steps that enable our less-technical end users to leverage it without many questions or issues.
CTA Analyst Onboarding
Because this use case is so pervasive, we have actually standardized our S3 buckets, Redshift sandboxes and IAM security so as new analysts are on-boarded and provided with Coginiti, their accounts are all set up in a way that supports this ad-hoc upload-and-analyze approach.
Reuse Your Code. Empower Your Team.
Reuse Your Code. Empower Your Team.
Coginiti Amazon Catalogs
Import our toolkits and getting started catalogs from Github into Coginiti Pro/Premium, giving you instant access to hundreds of useful SQL utilities, queries and snippets
