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Learn MorePros of dat
Pros of PSequel
Pros of SqlPad
Pros of dat
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Pros of PSequel
- Free3
- Simplest Postgres client3
- Doesn't try to upsell you with premium features3
Pros of SqlPad
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Cons of dat
Cons of PSequel
Cons of SqlPad
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Cons of PSequel
- No CSV export2
Cons of SqlPad
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What is dat?
Dat is an open source project that provides a streaming interface between every file format and data storage backend.
What is PSequel?
Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly.
What is SqlPad?
A Node.js web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, Crate and Vertica.
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What companies use dat?
What companies use PSequel?
What companies use SqlPad?
What companies use dat?
What companies use PSequel?
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What tools integrate with dat?
What tools integrate with PSequel?
What tools integrate with SqlPad?
What tools integrate with dat?
No integrations found
What tools integrate with PSequel?
No integrations found
What tools integrate with SqlPad?
What are some alternatives to dat, PSequel, and SqlPad?
IPFS
It is a protocol and network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system.
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
DBeaver
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.