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HeidiSQL VS Apache ORC

Compare HeidiSQL VS Apache ORC and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

HeidiSQL logo HeidiSQL

HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Apache ORC logo Apache ORC

Apache ORC is a columnar storage for Hadoop workloads.
  • HeidiSQL Landing page
    Landing page //
    2021-09-15
  • Apache ORC Landing page
    Landing page //
    2022-09-18

HeidiSQL videos

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[HeidiSQL] Main features review

More videos:

  • Review - Tutorial HeidiSQL with MariaDB and MySQL Part 5 Relation 2 tables and more
  • Tutorial - HeidiSQL Tutorial 05 :- How to Import and Export database in HeidiSQL

Apache ORC videos

No Apache ORC videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to HeidiSQL and Apache ORC)

HeidiSQL

Apache ORC

Databases
94 94%
Databases
6% 6
Database Management
100 100%
Database Management
0% 0
Big Data
0 0%
Big Data
100% 100
MySQL Tools
100 100%
MySQL Tools
0% 0

User comments

Share your experience with using HeidiSQL and Apache ORC. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare HeidiSQL and Apache ORC

HeidiSQL Reviews

  1. very good and handy tool

    There was a need to work with the MS SQL database, but I did not want to install and understand the complex SQL Management Studio program, and this product turned out to be very easy to install and use. For more then 2 month i've used the tool haven't came across any issues.

    🏁 Competitors: SQL Server Management Studio
    👍 Pros:    Lightweight|Simple yet powerful and efficient tool|Many built-in features
    👎 Cons:    Nothing, so far
Top Ten MySQL GUI Tools
Navicat for MySQL is a powerful graphical interface that synchronizes your connection settings, models, and queries to the Navicat Cloud for automatic saving and sharing at any given time. Just like HeidiSQL, Navicat for MySQL has the ability to connect to a MySQL database through an SSH tunnel. It also offers workable data migration by providing comprehensive data format...
Source: www.databasejournal.com
Top 10 of Most Helpful MySQL GUI Tools
The existing database tools for MySQL are many, and you can always find the right solution. There are both free and paid solutions. While the freeware tools like HeidiSQL or the Workbench free edition provide the basic functionality to do quintessential jobs, database professionals often need additional options. In this aspect, we’d recommend turning to advanced toolsets...
Source: www.hforge.org
20 Best SQL Management Tools in 2020
HeidiSQL is another reliable SQL management tool. It is designed using the popular MySQL server, Microsoft SQL databases, and PostgreSQL. It allows users to browse and edit data, create and edit tables, views, triggers and scheduled events.
Source: www.guru99.com
Top 10 free database tools for sys admins 2019 Update
Nice post, I will be checking out a few of these tools. HeidiSQL http://www.heidisql.com/ definitely needs to be included.
Source: techtalk.gfi.com
10 Best MySQL GUI Tools
If you only need the essential functionality for your database development and/or your goal is to get familiar with MySQL databases and improve your skills, a freeware tool from one of those we mentioned would be a great choice – for example, HeidiSQL, the free edition of SQL Workbench, Sequel Pro if you’re working on Mac OS X, etc.
Source: codingsight.com

Apache ORC Reviews

We have no reviews of Apache ORC yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache ORC seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

HeidiSQL mentions (0)

We have not tracked any mentions of HeidiSQL yet. Tracking of HeidiSQL recommendations started around Mar 2021.

Apache ORC mentions (3)

  • Java Serialization with Protocol Buffers
    The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
  • AWS EMR Cost Optimization Guide
    Data formatting is another place to make gains. When dealing with huge amounts of data, finding the data you need can take up a significant amount of your compute time. Apache Parquet and Apache ORC are columnar data formats optimized for analytics that pre-aggregate metadata about columns. If your EMR queries column intensive data like sum, max, or count, you can see significant speed improvements by reformatting... - Source: dev.to / over 2 years ago
  • Apache Hudi - The Streaming Data Lake Platform
    The following stack captures layers of software components that make up Hudi, with each layer depending on and drawing strength from the layer below. Typically, data lake users write data out once using an open file format like Apache Parquet/ORC stored on top of extremely scalable cloud storage or distributed file systems. Hudi provides a self-managing data plane to ingest, transform and manage this data, in a... - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing HeidiSQL and Apache ORC, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

DataGrip - Tool for SQL and databases

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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