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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. DBeaver vs PipelineDB

DBeaver vs PipelineDB

OverviewDecisionsComparisonAlternatives

Overview

DBeaver
DBeaver
Stacks557
Followers731
Votes67
GitHub Stars46.0K
Forks3.9K
PipelineDB
PipelineDB
Stacks8
Followers20
Votes0

DBeaver vs PipelineDB: What are the differences?

Developers describe DBeaver as "A Universal Database Tool". 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. On the other hand, PipelineDB is detailed as "The Streaming SQL Database". PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

DBeaver and PipelineDB can be primarily classified as "Database" tools.

DBeaver is an open source tool with 9.88K GitHub stars and 835 GitHub forks. Here's a link to DBeaver's open source repository on GitHub.

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Advice on DBeaver, PipelineDB

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

DBeaver
DBeaver
PipelineDB
PipelineDB

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.

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

-
No Application Code; Runs on PostgreSQL; Eliminate ETL; Efficient and Sustainable
Statistics
GitHub Stars
46.0K
GitHub Stars
-
GitHub Forks
3.9K
GitHub Forks
-
Stacks
557
Stacks
8
Followers
731
Followers
20
Votes
67
Votes
0
Pros & Cons
Pros
  • 22
    Free
  • 13
    Platform independent
  • 9
    Automatic driver download
  • 7
    Import-Export Data
  • 6
    Simple to use
No community feedback yet
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Presto
Presto
MariaDB
MariaDB
Java
Java
Apache Hive
Apache Hive
Microsoft SQL Server
Microsoft SQL Server
macOS
macOS
PostgreSQL
PostgreSQL

What are some alternatives to DBeaver, PipelineDB?

MongoDB

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.

MySQL

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

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

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