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Heroic
Heroic

4
12
+ 1
0
Lovefield
Lovefield

2
24
+ 1
3
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Heroic vs Lovefield: What are the differences?

Developers describe Heroic as "A scalable time series database based on Cassandra and Elasticsearch, by Spotify". Heroic is Spotify's in-house time series database. It was built to address the challenges Spotify was facing with near real-time data collection and presentation at scale. On the other hand, Lovefield is detailed as "A relational database for web apps, by Google". Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.

Heroic and Lovefield belong to "Databases" category of the tech stack.

Heroic and Lovefield are both open source tools. It seems that Lovefield with 6.11K GitHub stars and 383 forks on GitHub has more adoption than Heroic with 710 GitHub stars and 89 GitHub forks.

What is Heroic?

Heroic is Spotify's in-house time series database. It was built to address the challenges Spotify was facing with near real-time data collection and presentation at scale.

What is Lovefield?

Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.
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            What are some alternatives to Heroic and Lovefield?
            navi
            It allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands, prompting for argument values.
            MySQL
            The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
            PostgreSQL
            PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
            MongoDB
            MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
            Microsoft SQL Server
            Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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