BlazingSQL vs. H2 Database Engine

BlazingSQL

H2 Database Engine

2 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
BlazingSQL	N/A	N/A	BlazingSQL (formerly BlazingDB) is an Open-Source solution for SQL in Python. BlazingSQL provides a high-performance distributed SQL engine in Python. Built on the RAPIDS GPU data science ecosystem, ETL massive datasets on GPUs. BlazingSQL lets users ETL raw data directly into GPU memory as a GPU DataFrame (GDF). RAPIDS.ai is a suite of open-source libraries that allow the user to run end to end data science and analytics pipelines on GPUs.	N/A
H2 Database	Score8 out of 10	N/A	H2 Database Engine is an open source, embeddable database management system (RDMS) written in Java.	N/A

Pricing

BlazingSQL

H2 Database

No answers on this topic

No answers on this topic

Pricing Offerings
BlazingSQL	H2 Database
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

—

—

Best Alternatives
	BlazingSQL	H2 Database
Small Businesses	MariaDB Platform Score9.1 out of 10	MariaDB Platform Score9.1 out of 10
Medium-sized Companies	PostgreSQL Score8.8 out of 10	PostgreSQL Score8.8 out of 10
Enterprises	SQLite Score8 out of 10	SQLite Score8 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	BlazingSQL	H2 Database
Likelihood to Recommend	- (0 ratings)	8.0 (2 ratings)

User Testimonials
	BlazingSQL	H2 Database
Likelihood to Recommend	Open Source No answers on this topic	Open Source For running application tests it's well suited. H2 [Database Engine] can replace the real-world database solution for them easily and removes the requirement to set up a a separate database instance just for running unit tests. For using in actual production application one needs to consider scale. H2 is suitable if application runs in single instance and database is located in same machine as a file where that application runs. This means the application shouldn't have a large user base. However it's easy to switch to an actual MySQL instance if the need arises, it's most likely only a configuration change and doesn't require new code. Incentivized Verified User Read full review
Pros	Open Source No answers on this topic	Open Source Can run as an in-memory database. Simple and quick to get started with, and is light weight (only 2MB). SQL compliant so it compatible with most relational databases. Incentivized Verified User Read full review
Cons	Open Source No answers on this topic	Open Source There's a warning in official FAQ "Is it Reliable?"-section which makes it seem like H2 is not yet a mature product. If raw SQL queries are used there maybe be differences between MySQL & H2. ORM library should be used. Support seems to be community-based only. Incentivized Verified User Read full review
Alternatives Considered	Open Source No answers on this topic	Open Source While both can run as an in-memory database, H2 Database Engine was just so much easier for us to use since we primarily use the Java stack and H2 Database Engine is also built with Java. Incentivized Verified User Read full review
Return on Investment	Open Source No answers on this topic	Open Source Doesn't take time from developers, once it's configs are set up for testing it works in everyone's development environments Easy to integrate in application, no need to setup separate database software, no maintenance No need to deal with infrastructure related issues/costs - database runs in same machine as the application that uses it. Incentivized Verified User Read full review
ScreenShots