cynkra

Database Services

cynkra designs, builds, and operates data platforms. We maintain key R packages for database access with over 50 million CRAN downloads combined.

What We Do

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Design & Build

Data modeling and schema design tailored to your needs. We build the foundation for reliable, performant data systems that scale with your organization.

Services
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Operate

Ingestion pipelines, query optimization, and production operations. Backup/restore, high availability, and security hardening on-prem or in the cloud.

Services
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Train

Code review and training when teams want to build these skills internally. We help you become self-sufficient with your data infrastructure.

Services

Working With Us

We start small, prove value, then scale. Each engagement follows a clear path from feasibility to production.

Start Small

1

Pilot Project

We start with a pilot to check technical feasibility in your environment. Clear deliverable, low commitment. We ensure our approach suits your policies and workflows.

Scale Up

2

Go Live

From there we move to production hardening: monitoring, security documentation, and runbooks. Everything needed for reliable operations.

Stay Running

3

Ongoing Support

SLA-based support for your production systems. We're available when issues arise and proactively maintain your infrastructure.

Featured Projects

DBI R Database Interface

Provides a unifying interface to relational databases in R, with backend packages like RSQLite, RMariaDB and RPostgres for specific databases.

Key Features

  • Unified interface for all database operations.
  • Supports multiple DB backends like MySQL, SQLite, PostgreSQL, and more.
  • Easy data fetching and manipulation within R.
  • Comprehensive error handling.
globe bookmark
open source project

dm Relational Data Models

dm provides a framework for defining and managing relational data models in R. It allows users to work with related tables, ensuring data integrity and facilitating complex data operations.

Key Features

  • Define and manage relational data models.
  • Ensure data integrity across related tables.
  • Facilitate complex data operations.
  • Integrate seamlessly with dplyr for data manipulation.
  • Export data models to SQL or use in Shiny applications.
globe github
open source project

duckdb DuckDB for R

R bindings for DuckDB, an in-process analytical database. DuckDB provides fast columnar storage and efficient query execution without requiring a separate server process.

Key Features

  • In-process database, no server required
  • Fast columnar storage and analytics
  • Direct query on Parquet, CSV, JSON
  • Seamless integration with R data frames
globe bookmark
open source project

duckplyr Enhanced dplyr with DuckDB Backend

duckplyr enhances dplyr by allowing seamless integration with DuckDB for faster data operations. It provides a performance boost for data manipulations while maintaining dplyr's intuitive syntax.

Key Features

  • Drop-in replacement for dplyr
  • Automatic translation to SQL
  • Significantly improved performance
  • Compatible with dplyr syntax
globe bookmark
open source project

rchroma R Interface to ChromaDB

rchroma provides an R interface to ChromaDB, enabling vector database operations directly from R. It supports embedding storage, retrieval, and similarity search for AI applications.

Key Features

  • Vector database operations in R
  • Storage and retrieval of embeddings
  • Similarity search for AI applications
  • Integration with R machine learning workflows
globe github
open source project
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