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Database Labs VS CompactView

Compare Database Labs VS CompactView and see what are their differences

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Database Labs logo Database Labs

Database Labs offers Postgres as a service.

CompactView logo CompactView

Viewer for Microsoft® SQL Server® CE database files (sdf)
  • Database Labs Landing page
    Landing page //
    2021-09-21
  • CompactView Landing page
    Landing page //
    2023-07-23

Category Popularity

0-100% (relative to Database Labs and CompactView)

Database Labs

CompactView

Databases
23 23%
Databases
77% 77
Relational Databases
100 100%
Relational Databases
0% 0
NoSQL Databases
22 22%
NoSQL Databases
78% 78
Development
0 0%
Development
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Database Labs and CompactView

Database Labs Reviews

10 Best Database Management Software Of 2022 [+ Examples]
For development teams, Database Labs’ advice is simple, “Focus on your app. Leave the database to us.” For those who are taking the advice, the results seem to be clear. One user says, “Database Labs has taken the burden off my developers – my ongoing battle with Postgres is finally over!” Another says, “For anyone looking for Postgres experts, I really recommend Database...
Source: theqalead.com

CompactView Reviews

We have no reviews of CompactView yet.
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What are some alternatives?

When comparing Database Labs and CompactView, you can also consider the following products

Heroku Postgres - Heroku Postgres is an SQL database as a service.

ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.

MySQL - The world's most popular open source database

VoltDB - In-memory relational DBMS capable of supporting millions of database operations per second

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