MonoQL
MonoQL is an open-source SQL query engine that allows developers to execute SQL queries on various data sources. It supports querying data in databases, cloud object stores, CSV/TSV files, and other formats. MonoQL is lightweight, embeddable, and focused on analytical and ETL wor
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MonoQL: Open-Source SQL Query Engine
MonoQL is an open-source SQL query engine that allows developers to execute SQL queries on various data sources. It supports querying data in databases, cloud object stores, CSV/TSV files, and other formats. MonoQL is lightweight, embeddable, and focused on analytical and ETL workloads.
What is MonoQL?
MonoQL is an open-source SQL query engine that allows developers to execute SQL queries on various data sources. It was created by the team at SingleStore to provide a unified SQL interface across databases, object stores, files, and more.
Some key features and benefits of MonoQL include:
- Unified SQL interface - Write standard SQL queries and MonoQL handles translating to the appropriate backend.
- Extensible data sources - Out of the box supports querying databases, S3, GCS, Azure Blob, HDFS, and CSV/TSV files. Easily extendable to custom data sources.
- Lightweight and embeddable - Small footprint, no external dependencies, and embeddable into any application.
- Analytical workloads - Designed for complex analytical queries like aggregates, joins, window functions across large datasets.
- ETL capabilities - Supports INSERT and CREATE TABLE statements for ETL workflows.
- Scalability - Parallel query execution, out-of-order results processing
MonoQL enables developers to execute SQL across their diverse data environment without needing to know the specifics of each backend data store. It's ideal for building analytical applications, pipelines, and data integration tools where SQL is preferred over vendor-specific APIs.
MonoQL Features
Features
- Supports ANSI SQL syntax
- Can query variety of data sources like databases, S3, GCS, HDFS, CSV/TSV files
- Lightweight and embeddable
- Focused on analytical and ETL workloads
- Columnar execution engine
- Support for UDFs
Pricing
- Open Source
Pros
Open source and free to use
Simple API
Fast query performance
Cross platform
Lightweight and low resource usage
Cons
Limited ecosystem compared to alternatives
Not fully ANSI SQL compliant
Lacks some advanced SQL features
Minimal monitoring and management functionality
Official Links
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