DalmatinerDB vs Lovefield

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DalmatinerDB
DalmatinerDB

5
5
+ 1
1
Lovefield
Lovefield

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

DalmatinerDB: A fast, distributed metric store. DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore; Lovefield: 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.

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

DalmatinerDB and Lovefield are both open source tools. Lovefield with 6.11K GitHub stars and 383 forks on GitHub appears to be more popular than DalmatinerDB with 696 GitHub stars and 45 GitHub forks.

What is DalmatinerDB?

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

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 tools integrate with DalmatinerDB?
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          What are some alternatives to DalmatinerDB and Lovefield?
          InfluxDB
          InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
          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¬ģ SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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