SQLyog

SQLyog

Webyog
+
+

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About

Azkaban is a distributed Workflow Manager, implemented at LinkedIn to solve the problem of Hadoop job dependencies. We had jobs that needed to run in order, from ETL jobs to data analytics products. After version 3.0, we provide two modes: the stand alone “solo-server” mode and distributed multiple-executor mode. The following describes the differences between the two modes. In solo server mode, the DB is embedded H2 and both web server and executor server run in the same process. This should be useful if one just wants to try things out. It can also be used on small scale use cases. The multiple executor mode is for most serious production environment. Its DB should be backed by MySQL instances with master-slave set up. The web server and executor servers should ideally run in different hosts so that upgrading and maintenance shouldn’t affect users. This multiple host setup brings in robust and scalable aspect to Azkaban.

About

A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies looking for a distributed Workflow Manager solution that helps solve the problem of Hadoop job dependencies

Audience

Database developers, administrators, and architects who want a database management solution to visually compare, optimize, and document schemas and data

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Azkaban
azkaban.github.io

Company Information

Webyog
United States
webyog.com/product/sqlyog/

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Kraken CI

Kraken CI

Michal Nowikowski

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Claude Dispatch

Anthropic
DBeaver Community

DBeaver Community

DBeaver Corp.

Categories

Data Pipeline Supported

Categories

Integrations

MySQL Supported
Amazon Athena Not Supported
Amazon RDS Not Supported
Amazon Redshift Not Supported
Amazon Web Services (AWS) Not Supported
Apache Cassandra Not Supported
Collate Not Supported
Google Cloud SQL Not Supported
Hadoop Supported
IBM Cloud Not Supported
IBM Db2 Not Supported
IBM watsonx.data integration Supported
Microsoft Azure Not Supported
MongoDB Not Supported
MongoDB Atlas Not Supported
Percona Backup for MongoDB Not Supported
PostgreSQL Not Supported
Snowflake Not Supported
Teradata VantageCloud Not Supported
VoltDB Not Supported

Integrations

MySQL Supported
Amazon Athena Supported
Amazon RDS Supported
Amazon Redshift Supported
Amazon Web Services (AWS) Supported
Apache Cassandra Supported
Collate Supported
Google Cloud SQL Supported
Hadoop Not Supported
IBM Cloud Supported
IBM Db2 Supported
IBM watsonx.data integration Not Supported
Microsoft Azure Supported
MongoDB Supported
MongoDB Atlas Supported
Percona Backup for MongoDB Supported
PostgreSQL Supported
Snowflake Supported
Teradata VantageCloud Supported
VoltDB Supported
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