Lovefield

Lovefield

By: Google

Lovefield is meant for web apps. It is a relational database. This database works on the concept of relational models. It is developed in JavaScript language. It works cross-browser and is currently supporting Chrome 31, IE Edge, IE 10, Firefox 31, and Safari 10+. It is a very fast and reliable relational database.

Based on 13 Votes
Top Lovefield Alternatives
  • MySQL
  • PostgreSQL
  • Firebird
  • ApexSQL
  • Google Cloud SQL
  • Apache Drill
  • Apache Derby
  • PrestoDB
  • Apache Calcite
  • Teradata Database
  • IBM Informix
  • SQLizer
  • CockroachDB
  • Amazon Aurora
  • Tadabase
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Top Lovefield Alternatives and Overview

1

MySQL

By: Oracle
Based on 105 Votes
2

PostgreSQL

PostgreSQL is a database system that combines the SQL code with functions that lets users handle even bigger queries and store more sophisticated data safely.

By: PostgreSQL
Based on 24 Votes
3

Firebird

By: Firebird Foundation
Based on 10 Votes
4

ApexSQL

ApexSQL is a world-class relational database software that creates some of the most advanced tools and provides innovative solutions for SQL (Structured Query Language) servers.

By: Apexsql
Based on 6 Votes
5

Google Cloud SQL

By: Google
Based on 16 Votes
6

Apache Drill

By: The Apache Software Foundation
Based on 4 Votes
7

Apache Derby

By: The Apache Software Foundation
Based on 10 Votes
8

PrestoDB

It helps in querying various data sources like AWS S3, MySQL, Hadoop, etc...

By: Facebook
Based on 1 Vote
9

Apache Calcite

It uses a relation to access one piece of data from another...

By: The Apache Software Foundation
Based on 1 Vote
10

Teradata Database

It was developed by Teradata, which is a software company...

By: Teradata
Based on 23 Votes
11

IBM Informix

By: IBM
Based on 24 Votes
12

SQLizer

By: SQLizer.io
Based on 1 Vote
13

CockroachDB

By: Cockroach Labs
Based on 1 Vote
14

Amazon Aurora

The main feature of the Aurora platform is that it offers all the necessary comfort...

By: AWS
Based on 22 Votes
15

Tadabase

By: Tadabase
Based on 4 Votes

Lovefield Review and Overview

The database plays a vital role in every field because it is a repository of historical data. The concept of the relational database has emerged because of the efficiency it provides. It works on the concept of a relational model, which means the data is organized using a language and structure that remains consistent with predicate logic. Lovefield works in this field and helps web applications.

Download procedure

Lovefield provides a complete guide to install the database. It has a GitHub repository from where you can directly download the software.  It supports two package management systems, namely npm and bower. It defines the schema of the database. It then operates on the instance that implements the schema. The coding has SQL commands. Lovefield creates a new database using the schema. In case the database is already present, then Lovefield finds the instance of that schema by using the name of the database.

The Automation process of Lovefield

The Lovefield has GitHub built-in packages that are used to simplify the workflow. This automated tool allows you to create code, test the code, and finally deploy it. You get the option of watching your workflow on a real-time basis. You can easily test your database and web service by using this automated tool. You can easily deploy your work on the Cloud. The tool is capable enough of finding, detecting, and preventing security threats.

Perfect solution

The perfection of Lovefield lies under its efficient and reliable features. It enables you to create codes that are safe by using automated scanning and fixing tools. It has the FedRAMP authorization and SOC 2 Type 2 reports, which helps in the security process. It provides you with insights so that you can measure your performance on the basis of the goals set by you. You get 24/7 support from the Lovefield team so that if at any point in time you get stuck somewhere, then they are there to help. It also allows you to create customized courses that can be shared with your team to enhance their skills. It supports the strategy that you want to use for deploying the process.

Company Information

Company Name: Google

Founded in: 1998