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https://dudodiprj2sv7.cloudfront.net/product-logos/ok/sI/1P8ST0ZSLL1T.pngWhy we chose ScaleArc for MySQLWe are using ScaleArc for MySQL to achieve a high availability solution across multiple clusters of MySQL databases. ScaleArc has helped us in achieving high availability by providing us a seamless interface for auto failover as well as a script based customized solution. While failing over to a slave database, it does take care of syncing the data from a previous master through its binlogs.,ScaleArc does provide high availability and during failover it takes care of the master slave lag as well seamless switch between master and slave. ScaleArc also helps to reduce application traffic on MySQL database server by filtering frequently used commands like AUTOCOMMIT. ScaleArc provides a single interface for all application and database user management. This helps in strengthening security aspects of user management.,Checkboxes for selection of multiple users to enhance easier management. There should be a rule within the ScaleArc cluster to send traffic to particular slave replica for re-routing of read queries. Logging generation is excessive and causes pressure on disk resources. This should be further improved to log information to not miss the necessary but also not include the unnecessary.,7,Provided a single management interface for a complete MySQL farm in our company. It has helped particularly in managing high availability of MySQL databases thus overall improving the business website reliability. This in turn further enhances the confidence of our customers.
Linux
ScaleArc for MySQL
2 Ratings
Score 9.2 out of 101
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ScaleArc for MySQL Reviews

ScaleArc for MySQL
2 Ratings
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Score 9.2 out of 101
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Balwan Singh profile photo
December 29, 2016

User Review: "Why we chose ScaleArc for MySQL"

Score 7 out of 10
Vetted Review
Verified User
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We are using ScaleArc for MySQL to achieve a high availability solution across multiple clusters of MySQL databases. ScaleArc has helped us in achieving high availability by providing us a seamless interface for auto failover as well as a script based customized solution. While failing over to a slave database, it does take care of syncing the data from a previous master through its binlogs.
  • ScaleArc does provide high availability and during failover it takes care of the master slave lag as well seamless switch between master and slave.
  • ScaleArc also helps to reduce application traffic on MySQL database server by filtering frequently used commands like AUTOCOMMIT.
  • ScaleArc provides a single interface for all application and database user management. This helps in strengthening security aspects of user management.
  • Checkboxes for selection of multiple users to enhance easier management.
  • There should be a rule within the ScaleArc cluster to send traffic to particular slave replica for re-routing of read queries.
  • Logging generation is excessive and causes pressure on disk resources. This should be further improved to log information to not miss the necessary but also not include the unnecessary.
Well suited for automated failover between Master and Slave
Works well with Galera cluster technology
Works very well for database load balancing
Less suited for CPU and memory related optimization for ScaleArc cluster
Prerequisite to run ScaleArc on standalone machine should be avoidable so that customer is not forced to provide dedicated hardware for this software
Read Balwan Singh's full review

ScaleArc for MySQL Scorecard Summary

About ScaleArc for MySQL

ScaleArc for MySQL (other versions available for SQL Server and Oracle) is database load balancing software that promises to increase uptime, performance, and scale out for applications leveraging the MySQL database.

The software drops in between applications and databases and directs queries into the database on behalf of the app - it looks to the app as if it were the database, and it looks to the database as if it were the app.

The software lets organizations leverage modern, scaled out databases with no application changes. It automatically supports scale out, performing read/write split dynamically, so users don't have to code read-intent strings into the application.

It avoids app downtime from database outages, both planned and unplanned. During a database failover, ScaleArc software queues inbound queries, waiting for the secondary to take over as the new primary, and then drains the queue in a FIFO manner, so apps see delay but not errors. Users can invoke the same functionality to force a switchover, enabling them to achieve zero downtime maintenance.

App-transparent caching speeds performance with no app changes, and the software also supports connection management for greater database server efficiency.

ScaleArc for MySQL Features

Has featureapp-transparent failover
Has featureswitchover for zero-downtime maintenance
Has featureautomatic read/write split
Has featuredynamic load balancing
Has featurequery caching
Has featurereal-time and historical analytics
Has featurequery firewall

ScaleArc for MySQL Screenshots

ScaleArc for MySQL Integrations

Xtra DB Cluster

ScaleArc for MySQL Competitors

Pricing

Has featureFree Trial Available?Yes
Does not have featureFree or Freemium Version Available?No
Does not have featurePremium Consulting/Integration Services Available?No
Entry-level set up fee?No

ScaleArc for MySQL Customer Size Distribution

Consumers
%
Small Businesses (1-50 employees)
%
Mid-Size Companies (51-500 employees)
60%
Enterprises (> 500 employees)Enterprises (> 500 employees)
40%

ScaleArc for MySQL Support Options

 Free VersionPaid Version
Phone
Email
FAQ/Knowledgebase
Video Tutorials / Webinar
Live Chat

ScaleArc for MySQL Technical Details

Deployment Types:On-premise
Operating Systems: Linux
Mobile Application:No