Name: ScaleArc
Rating: 6 (5 reviews)
Author: IgniteTech

Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Alumni Management

Higher Education

Education

Business Intelligence (BI)

Collaboration

Communications Platform as a Service (CPaaS)

Enterprise Resource Planning (ERP)

Quality Management

Supply Chain Visibility

Enterprise

Accounting

Investor Relations

Loan Origination

Revenue Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Engagement

HR Management

HR Service Delivery

Job Board

Payroll

Talent Intelligence

Talent Management

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

App Development

Block Storage

Cloud Storage

Code Review

Data Center Outsourcing (Canada)

Debugging

Enterprise Backup

Fraud Detection

Integration Platform as a Service (iPaaS)

Master Data Management (MDM)

Mobile Application Performance Monitoring  (APM)

Network Performance Monitoring

Non-Relational Databases

Process Mining

Runtime Application Self-Protection

Security Awareness Training

Security Validation

Web Content Filtering

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Analytics

Digital Rewards

Email Marketing

Marketing Automation

Native Advertising

Product Information Management (PIM)

Real-Time Interaction Management

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Business Caller ID

Interactive Whiteboard

Professional Services Automation

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Consulting

eCommerce

Sales

Cloud Computing Security

Insider Risk Management

Microsegmentation

Security

Assisted Living

Clinical Data Management

Jail Management

Medical Scheduling

Patient Engagement

Vertical-Specific

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ScaleArc

Database load balancing software is a mechanism for distributing load over a cluster of SQL databases.

Database Load Balancing

ScaleArc 3-Minute Demo

Likelihood to Recommend

Rich analytics simplify database troubleshooting, provide a cluster-wide view of stats, and highlight queries that are good candidates for caching.

ScaleArc provides rich details about queries, aggregated to make patterns obvious but available for drill down as well.

The ScaleArc software supports automatic or manual failover, enabling zero downtime maintenance and avoiding app errors during database failover.

IgniteTech

DBA Director, IT Operations

ScaleArc for SQL Server 2017-10-04 16:58:45

MySQL

Senior Principal Engineer

ScaleArc for MySQL 2016-12-21 02:27:43

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Multiple users

Easier management

Drilling down

High availability

Load balancing

Performance issues

Adding additional

End user

User experiences

Database server

Real time

Single interface

Time analytics

Home

We are a 24/7 SaaS company that provides a CRM to automotive companies across the globe and our need to be highly available is mission critical. As in most SaaS platforms there is always a single point of failure and that was our design on how we direct customers to there corresponding servers; this is where we need to be able to provide the highest point of availability. Prior to implementing ScaleArc, we had a very unstable environment with quite a bit of global customer impact and with the introduction (Version 1) of Availability Groups in SQL Server 2012; there was a lot of instability in the number of failovers and bottlenecks.

Since implementing ScaleArc over a year ago; we have instantly brought our availability to 99.9999%. The ability to route reads to the secondary replicas without any application changes was a huge advantage in getting ScaleArc deployed rapidly. The strength in the product is the ability to cache connections during a failover (not inflight transactions) meaning the customer would never notice there was a problem whether planned or unplanned. We've already had occasions where we have had experienced failovers and not one customer call came in :) This opened the door for daytime maintenance if necessary which is a godsend if you are DBA; less nights having to be up late the better

Simply put; ScaleArc makes me look good :)

Caching connections to ensure a seamless failover.
Automatically route reads to the secondary replicas without application changes.
Ability to cache queries for better end-user experiences.
Real-time analytics to determine where your bottlenecks are and any queries that could be candidates for caching.
Ability to firewall (block) an incoming query to avoid further performance issues and vulnerabilities from attacks such as SQL injections.

The fact that the analytics is included in the product; it really is hard to recommend this. However; I would recommend the analytics be a little more easier to use and more intuitive for drilling down to the source of the problem.

Our ROI is provided simply by keeping the customer up and running; a happy customer is good for business.

SQL Safe Backup, SQL Diagnostic Manager, Redgate SQL Compare

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.

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.

ScaleArc

Overview

What is ScaleArc?