# Best Load Balancing Software with Network Load Balancer Capabilities

*By [Tian Lin](https://research.g2.com/insights/author/tian-lin)*


Load balancing software manages incoming network traffic and distributes workloads across multiple servers using algorithms such as round-robin, least connections, or IP hash. This ensures optimal resource utilization, prevents bottlenecks, and delivers high availability, even under heavy or fluctuating traffic conditions.

High-traffic websites and applications use load balancers to allocate requests efficiently, prevent server overload, and ensure fast response times. With features like server health monitoring, load balancers redirect traffic from underperforming servers to maintain uninterrupted service.

Industries like e-commerce, finance, and healthcare rely on load balancers to manage unpredictable traffic, minimize downtime, and ensure seamless operations during failovers or surges. Without them, organizations risk resource wastage, server failures, and degraded user experiences, jeopardizing operational continuity.

Load balancer software includes features like auto-scaling, health monitoring, secure sockets layer (SSL) offloading, session persistence, and DDoS protection. Auto-scaling adjusts resources for fluctuating traffic, while health monitoring ensures traffic is rerouted to functioning servers. SSL offloading handles encryption efficiently, reducing server load. Session persistence maintains user connections to the same server, essential for applications like banking, and DDoS protection safeguards against attacks that could overwhelm the system.

[Load testing tools](https://www.g2.com/categories/load-testing-tools) complement load balancing by simulating traffic surges and evaluating system performance under stress. These tools help organizations identify bottlenecks, test failover strategies, and fine-tune configurations, optimizing the effectiveness of the [best load balancing software](https://learn.g2.com/best-load-balancing-software).

To qualify for inclusion in the Load Balancing category, a product must:

- Monitor incoming network traffic and distribute it across multiple servers using algorithms like round-robin, least connections, random distribution, or IP hash
- Scale workloads dynamically to accommodate fluctuating traffic demands, ensuring efficient use of resources and consistent performance
- Continuously monitor server status to detect failures or underperformance and reroute traffic to available servers to maintain uninterrupted service
- Provide failover mechanisms to sustain operations by redirecting traffic during server outages or unexpected failures
- Support secure data transmission with secure sockets layer(SSL)/transport layer security (TLS) termination or seamless integration with external security tools to ensure robust encryption and decryption processes
- Manage backend server pools with the ability to dynamically add or remove servers as needed
- Perform basic server health checks to ensure traffic is only routed to operational servers






## G2 Grid® for Load Balancing Software
![G2 Grid® for Load Balancing Software plotting products by satisfaction and market presence](https://www.g2.com/categories/load-balancing/grids.png?focus%5B%5D=55067&focus%5B%5D=2908&focus%5B%5D=10700&focus%5B%5D=30741&focus%5B%5D=113709&focus%5B%5D=152848&focus%5B%5D=52171&focus%5B%5D=40550)
Highlighted products: HAProxy, Akamai Cloud Computing, Cloudflare Application Security and Performance, AWS Elastic Load Balancing, Progress Kemp LoadMaster, F5 NGINX Ingress Controller, Azure Traffic Manager, and Google Cloud Load Balancing.
Underlying data: [Grid® JSON](https://www.g2.com/categories/load-balancing/grids.json?focus%5B%5D=haproxy&focus%5B%5D=akamai-cloud-computing&focus%5B%5D=cloudflare-application-security-and-performance&focus%5B%5D=aws-elastic-load-balancing&focus%5B%5D=progress-kemp-loadmaster&focus%5B%5D=f5-nginx-ingress-controller&focus%5B%5D=azure-traffic-manager&focus%5B%5D=google-cloud-load-balancing)


## How Many Load Balancing Software Products Does G2 Track?
**Total Products under this Category:** 76

### Category Stats (Jul 2026)
- **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: Load Balancer Enterprise ADC (+0.42%) - Among all products in this category, Load Balancer Enterprise ADC recorded the largest rating increase compared to last month
*Last updated: July 13, 2026*


## How Does G2 Rank Load Balancing Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 3,800+ Authentic Reviews
- 76+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.



---

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---

## What Are the Top-Rated Load Balancing Software Products in 2026?
### 1. [IBM Cloud Load Balancer](https://www.g2.com/products/ibm-cloud-load-balancer/reviews)
Load balance traffic among your servers to improve uptime and easily scale your applications by adding or removing servers, with minimal disruption to your traffic flows


**Average Rating:** 4.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate IBM Cloud Load Balancer?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.2/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.5/10)
- **Ease of Admin:** 10.0/10 (Category avg: 8.8/10)

**Who Is the Company Behind IBM Cloud Load Balancer?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity (74,660 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®)
- **Ownership:** SWX:IBM

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of IBM Cloud Load Balancer?

**"[Hassle free deployment with flexible features](https://www.g2.com/survey_responses/ibm-cloud-load-balancer-review-1234400)"**

**Rating:** 4.0/5.0 stars
*— Verified User in Financial Services*

[Read full review](https://www.g2.com/survey_responses/ibm-cloud-load-balancer-review-1234400)

---


#### What Are G2 Users Discussing About IBM Cloud Load Balancer?

- [What is IBM Load Balancer used for?](https://www.g2.com/discussions/what-is-ibm-load-balancer-used-for)

### 2. [Pound](https://www.g2.com/products/pound/reviews)
Pound was developed to enable distributing the load among several Web-servers and to allow for a convenient SSL wrapper for those Web servers that do not offer it natively.


**Average Rating:** 3.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Pound?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.5/10)

**Who Is the Company Behind Pound?**

- **Seller:** [Apsis](https://www.g2.com/sellers/apsis-432dfc94-6775-4bad-94fd-ebaa8d2582bc)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market




#### What Are G2 Users Discussing About Pound?

- [What is Pound used for?](https://www.g2.com/discussions/what-is-pound-used-for)

### 3. [American Cloud Dynamic Load Balancing](https://www.g2.com/products/american-cloud-dynamic-load-balancing/reviews)
Enhance the performance and reliability of your mission-critical apps with an American Cloud load balancer. Distribute traffic intelligently across multiple instances, and adjust capacity on the fly to meet changing demands. A built-in health monitor monitors the health of every service for added peace of mind. Leave the worry to us and focus on what matters most: your applications.



**Who Is the Company Behind American Cloud Dynamic Load Balancing?**

- **Seller:** [American Cloud](https://www.g2.com/sellers/american-cloud)
- **HQ Location:** Santa Clara
- **Twitter:** @americancloudco (3,739 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/americancloud (7 employees on LinkedIn®)






### 4. [AVANU WebMux Network Traffic Manager](https://www.g2.com/products/avanu-webmux-network-traffic-manager/reviews)
WebMux primarily is an Application Delivery Network (ADN) Load Balancing solution that manages, controls, and securely delivers local Layers 4-7 network traffic reliably to the back-end network servers where applications and services are processed that servers your users and clients.



**Who Is the Company Behind AVANU WebMux Network Traffic Manager?**

- **Seller:** [AVANU](https://www.g2.com/sellers/avanu)
- **Year Founded:** 1997
- **HQ Location:** United States
- **LinkedIn® Page:** http://www.linkedin.com/company/avanu (1 employees on LinkedIn®)






### 5. [BalanceNG](https://www.g2.com/products/balanceng/reviews)
BalanceNG is a load balancing software that utilizes its own highly specialized IP stack for IPv4 and IPv6 and implements an independent active/passive cluster environment based on VRRP and the bngsync session table synchronization protocol.



**Who Is the Company Behind BalanceNG?**

- **Seller:** [Inlab Networks](https://www.g2.com/sellers/inlab-networks)
- **Year Founded:** 1991
- **HQ Location:** Gruenwald, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/inlab-networks (2 employees on LinkedIn®)






### 6. [Bitnami package for MetalLB Speaker](https://www.g2.com/products/bitnami-package-for-metallb-speaker/reviews)
The Bitnami package for MetalLB Speaker provides a containerized deployment of MetalLB's speaker component, essential for enabling "LoadBalancer" service addresses in bare-metal Kubernetes clusters. This component is responsible for IP advertisement, facilitating efficient load balancing without the need for external hardware or cloud-based solutions. Key Features and Functionality: - IP Advertisement: The speaker component announces service IPs to the network, ensuring seamless traffic routing to Kubernetes services. - Compatibility: Designed to integrate smoothly with existing Kubernetes environments, offering a consistent experience across different platforms. - Up-to-Date and Secure: Bitnami ensures that the package is regularly updated to include the latest features and security patches, maintaining a secure and reliable deployment. Primary Value and User Solutions: The Bitnami package for MetalLB Speaker addresses the challenge of implementing load balancing in bare-metal Kubernetes setups, where traditional cloud-based load balancers are unavailable. By providing a straightforward, containerized solution, it enables users to achieve efficient load distribution and high availability for their services without additional hardware investments. This package simplifies deployment, enhances network reliability, and ensures that Kubernetes services are accessible and performant in on-premises environments.



**Who Is the Company Behind Bitnami package for MetalLB Speaker?**

- **Seller:** [Broadcom](https://www.g2.com/sellers/broadcom-ab3091cd-4724-46a8-ac89-219d6bc8e166)
- **Year Founded:** 1991
- **HQ Location:** San Jose, CA
- **Twitter:** @broadcom (63,909 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/broadcom/ (55,094 employees on LinkedIn®)
- **Ownership:** NASDAQ: CA






### 7. [Central Dispatch](https://www.g2.com/products/central-dispatch/reviews)
Resonate's advanced server load balancing solutions are ideally suited to meet this demand with our patented and proven Active Intelligence technology that optimizes all applications, allowing them to work faster, more reliably and consume fewer resources.



**Who Is the Company Behind Central Dispatch?**

- **Seller:** [Resonate](https://www.g2.com/sellers/resonate-05d0f367-fc65-4143-95ca-02e6e03e3efe)
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** https://www.linkedin.com/company/official-resonate-networks/ (1 employees on LinkedIn®)






### 8. [LiteSpeed Web ADC](https://www.g2.com/products/litespeed-web-adc/reviews)
LiteSpeed Web ADC delivers performance advantages against hardware and software competitors at higher loads. Cutting-edge technologies and advanced security come together in a best-of-breed solution, designed to work within your existing infrastructure.



**Who Is the Company Behind LiteSpeed Web ADC?**

- **Seller:** [LiteSpeed Technologies](https://www.g2.com/sellers/litespeed-technologies)
- **Year Founded:** 2002
- **HQ Location:** Basking Ridge, NJ
- **Twitter:** @litespeedtech (3,454 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3510173/ (21 employees on LinkedIn®)






### 9. [Riverbed SteelHead Interceptor](https://www.g2.com/products/riverbed-steelhead-interceptor/reviews)
When you want more throughput or connections than just one SteelHead can provide – or if you desire a high-availability deployment option – SteelHead Interceptor helps manage and scale your enterprise-wide network throughput. With SteelHead Interceptor, you can intelligently integrate your SteelHead optimization fabric while directing activity and network load with superior management and administration capabilities. SteelHead Interceptor delivers the only load-balancing solution capable of assessing SteelHead pressures and seamlessly steers traffic to the optimal SteelHead to continuously and efficiently scale application traffic. SteelHead Interceptor enables customers to scale optimization solutions to support hundreds of thousands of end users across an enterprise, as well as very high bandwidth connections into the data center. SteelHead Interceptor clusters groups of SteelHeads to work together seamlessly and provides: +Real-time dynamic load balancing of your SteelHeads +Enhanced optimization for even greater throughput and bandwidth reduction +The ability to add, modify, or remove SteelHeads in real time, with no disruption to operations +Clustering of up to 20 SteelHeads to manage up to one million concurrent connections



**Who Is the Company Behind Riverbed SteelHead Interceptor?**

- **Seller:** [Riverbed Technology](https://www.g2.com/sellers/riverbed-technology)
- **Year Founded:** 2002
- **HQ Location:** San Francisco, CA
- **Twitter:** @RIVERBED (23,829 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/7796/ (1,589 employees on LinkedIn®)






### 10. [SKUDONET](https://www.g2.com/products/skudonet/reviews)
SKUDONET Enterprise Edition is an Application Delivery Controller (ADC) and security software solution that helps organizations distribute, control, and protect application traffic across on-premises, hybrid, and multi-cloud environments. It is designed for enterprises that require granular traffic management, high availability, and integrated application-layer security for business-critical workloads. SKUDONET Enterprise Edition is developed by SKUDONET, a European company specializing in load balancing and application security solutions, previously known as Zevenet. The platform is used by infrastructure, network, and security teams that need centralized control, predictable operational behavior, and policy automation across complex environments. The Enterprise Edition provides advanced traffic management and integrated security capabilities, including: • Advanced Load Balancing Policies: Round-robin, least-connections, weighted, hash-based distribution, session persistence, and custom routing rules to optimize resource utilization and maintain steady performance under peak loads. • Layer 4 and Layer 7 Inspection: Protocol-aware traffic analysis enabling granular routing decisions and application-level control. • Integrated Web Application Firewall (WAF): Native protection against OWASP Top 10 and application-layer threats without requiring additional security modules. • Global Server Load Balancing (GSLB): Traffic distribution across multiple data centers based on health checks, latency, and topology to support failover and disaster recovery strategies. • Centralized Management and Role-Based Access Control: Policy automation, detailed logging, and delegated access control to support compliance and operational governance. By consolidating application delivery, load balancing, high availability, and security into a single platform, SKUDONET Enterprise Edition enables organizations to maintain consistent performance, reduce downtime risk, and operate securely across distributed infrastructures without relying on multiple disconnected tools.



**Who Is the Company Behind SKUDONET?**

- **Seller:** [SKUDONET S.L.](https://www.g2.com/sellers/skudonet-s-l)
- **LinkedIn® Page:** https://www.linkedin.com/company/skudonet/







## What Is Load Balancing Software?

[Hosting Providers](https://www.g2.com/categories/hosting)

## What Software Categories Are Similar to Load Balancing Software?

- [Container Networking Software](https://www.g2.com/categories/container-networking)
- [DDoS Protection Solutions](https://www.g2.com/categories/ddos-protection)
- [Web Application Firewalls (WAF)](https://www.g2.com/categories/web-application-firewall-waf)


---

## How Do You Choose the Right Load Balancing Software?

### What You Should Know About Load Balancing Software

### What is load balancing software?

Load balancing software is designed to allow websites and applications to run, unfaltering, through hundreds, thousands, and even millions of simultaneous connections. By considering numerous rules, methods, and conditions, load balancing solutions work to ensure no servers within a server cluster or server pool become overloaded.

Traffic makes load balancing necessary. As servers experience higher traffic, response times can begin to slow down, resulting in a worse end-user experience. Also, continuous strain on servers can cause permanent hardware damage, meaning downtime might lead to hardware repair or replacement costs (in addition to other downtime-related revenue losses). Load balancing helps to mitigate the likelihood of these issues, acting as a gatekeeper for incoming server connection requests to ensure no single server or server pool gets overloaded.

Server failures can still happen even with load balancing in place, so most solutions will either offer backup solutions in conjunction with load balancing or they’ll be designed to integrate with [backup](https://www.g2.com/articles/what-is-backup) solutions seamlessly. This is an extra layer of protection for companies’ server stacks and data.

### How does load balancing software work?

Load balancing software works by distributing incoming network traffic across multiple servers. At its core, a load balancer acts as a [reverse proxy](https://www.g2.com/articles/reverse-proxy), directing client requests to backend servers based on different algorithms. These algorithms can include:

- Round-robin, which distributes requests sequentially
- Least connections, which sends requests to servers with the fewest active connections
- IP hash, which directs traffic based on the client’s IP address

When a client request arrives, the load balancer determines which [server](https://www.g2.com/glossary/server-definition) can handle the request based on real-time analysis and predefined criteria. Load balancing software continuously monitors server health using heartbeat checks or application-layer health probes to ensure that traffic is directed only to operational servers. If a server fails or becomes overloaded, the load balancer reroutes traffic to other servers in the pool without disrupting the user experience.

Modern load balancer software operate at various levels of the OSI model, with Layer 4 solutions dealing with TCP/UDP traffic and Layer 7 solutions managing data based on application-layer information, allowing for more complex routing decisions based on content of requests. These capabilities enable load balancing software to effectively manage traffic, improve application scalability, and improve system resilience.

### What are the types of load balancers? 

**Hardware load balancers** are dedicated physical devices that manage traffic at a high performance level. Known for their reliability and speed, they feature proprietary hardware to handle large volumes of traffic. They are commonly used in environments where speed and security are important, such as in large [data centers](https://www.g2.com/glossary/data-center-definition).

**Software load balancers** are software applications that are installed on standard servers. These load balancers offer flexibility and scalability, as users can modify, update, or deploy them across various environments. They are cost-effective and used in cloud-based architectures that require dynamic resourcer allocation. 

**Virtual load balancers** act as [virtual machines](https://www.g2.com/articles/what-is-a-virtual-machine) that can be deployed on any server infrastructure. They combine the flexibility of software load balancers with the capacity to handle large traffic volumes like hardware solutions. These are ideal for virtualized data centers and cloud environments.

**Cloud-based load balancers** are services provided by cloud providers (like AWS Elastic Load Balancing, Google Cloud Load Balancing, or Azure Load Balancer) that distribute network and application traffic across cloud resources. They are suitable for businesses with fluctuating web traffic.

**Global server load balancers (GSLB)** operate at the DNS level and direct traffic based on server location and user proximity to optimize [user experience](https://www.g2.com/glossary/user-experience). Organizations use them to balance loads across multiple geographic locations and ensure efficient location-based traffic management.

**Layer 4 load balancers** balance traffic at the transport layer (TCP/UDP) and make decisions based on data from network and transport layers without inspecting packet contents. They are suitable for basic balancing of non-HTTP traffic.

**Layer 7 load balancers** operate at the application layer and make more sophisticated decisions by inspecting packet content. As a result, they allow actions based on HTTP headers, cookies, and application data. Companies use these load balancers for advanced traffic regulation and content-sensitive tasks.

### What are load balancing algorithms?

Load balancing methods focus less on specific types of software and more on specific ways to distribute traffic. The typical load distribution methods are as follows.

**Random assignment **

As the name suggests, a random assignment takes an incoming connection and assigns it from the client side to a server from the server pool. This distribution relies on the mathematical law of large numbers, which implies that when a large enough volume randomly assigns values among a set, the distribution of that volume will be about equivalent.

**Round robin**

In this method, every server in the server pool has its own IP address but each is uniquely linked to a master IP address for server calls. When a server call is made, that call is assigned through the master IP address to a unique server in order, yielding the "round robin" name.

**Source IP hash**

[IP hashing](https://www.g2.com/articles/load-balancing-algorithms#types:~:text=throughout%20the%20cycle.-,IP%20hash%20method,-The%20load%20balancer) relies on the IP address from the incoming request to determine which server handles the connection. Server assignment depends on the number of servers available and rules surrounding the hash key that is generated by the IP hashing software.

**Least connection**

The least connection method of load balancing takes into account the number of connections to each server as opposed to the active server workload. Incoming connections to the server pool are assigned automatically to the server with the least number of active connections. 

### Examples of load balancing

- **Website traffic management:** Large-scale e-commerce platforms use load balancer software to manage user requests during peak shopping events like Black Friday. Load balancers distribute incoming HTTP requests across multiple web servers, ensuring fast page load times and reliability.
- **Cloud computing services:** [Cloud service providers](https://www.g2.com/categories/cloud-computing-platforms) such as AWS, Google Cloud, and Microsoft Azure employ load balancing solutions to optimize resource usage across server farms. This enables them to provide scalable and reliable cloud services, automatically adjusting the distribution of traffic as demand fluctuates.
- [Content delivery networks](https://www.g2.com/categories/content-delivery-network-cdn) **(CDNs):** These companies use load balancing as part of their CDN infrastructure to deliver web content to users from the closest geographical locations. This reduces latency and speeds up the user experience by dynamically routing requests to the nearest or least-congested server.
- **Enterprise application deployments:** Large organizations deploy load balancers within private data centers to manage traffic for enterprise applications such as CRM systems or internal portals. 
- [Internet of Things](https://www.g2.com/glossary/internet-of-things-definition) **(IoT) networks:** Smart city projects or large-scale IoT deployments use load balancers to manage data streams from a multitude of devices, directing traffic efficiently to data processing centers that analyze and act on the gathered data.
- **Financial services:** Banks and financial institutions use load balancing to handle complex transaction processing systems that require high availability and quick response times. By distributing loads across multiple systems, they maintain service continuity and adhere to stringent timing requirements for transaction processing.
- **Gaming servers:** Online gaming platforms depend on load balancing to manage gaming sessions and provide seamless multiplayer experiences. Load balancers direct player connections to the least busy servers, optimizing gameplay performance and reducing lag.

### What are the common features of load balancing solutions?

The following are some core features within load balancing software that can help users with cost savings, reduced downtime, and increased performance of workloads:

- **Request distribution:** Load balancing software uses one or more distribution methods to equally allocate connection requests among several servers.
- **Scaling:** The software adapts the number of servers being used for load distribution based on the amount of incoming traffic.
- **Distributed denial of service (DDoS) protection:** Load balancing software offers security settings to help [prevent DDoS attacks](https://learn.g2.com/how-to-stop-a-ddos-attack) on a company’s servers.
- **Asymmetric load distribution:** This feature allows companies to manually denote some servers to take a lesser share of the load. This is beneficial if a company is using older servers alongside newer ones or if the overall health of some servers is not as great as that of others.
- **Server health monitoring:** The server health monitoring feature runs periodic checks on application servers to verify the overall functionality of each. This helps make sure that well-functioning servers take the brunt of traffic if need be.
- **SSL offloading:** This feature allows load balancers to handle SSL encryption/decryption, reducing the processing burden on application servers. By managing secure connections independently, SSL offloading enhances performance and security.
- **Content caching:** By storing frequently requested data closer to users and reducing the need for repeated requests to backend servers, [content caching](https://learn.g2.com/what-is-cached-data) improves response times and reduces load on application servers.
- **Advanced analytics and reporting:** Load balancers provide detailed insights into traffic patterns, server health, and user behaviors, which support informed decision-making for performance optimization and capacity planning.

### What are the benefits of load balancing?

Load balancing is used by organizations of all sizes to enable and maintain access to applications and provide an improved end-user experience. Some of the core benefits offered by load balancing solutions include scalability, efficiency, and reliability.

- **Smooth functionality:** This is the reason load balancing software exists. By equally distributing server load over several members of the server pool, load balancing solutions create smoother functionality in server access, webpage loading, and application interactions.
- **Dynamics:** Load balancing software is built for handling dynamic needs. During low traffic time, connections are handled only by the servers that are absolutely necessary to have online. When there is an influx of high traffic, the software helps bring servers online to handle the stress and equally distribute the incoming connections so that end-user experiences are all fluid and without disruption.
- [Disaster recovery](https://www.g2.com/glossary/disaster-recovery-definition) **:** In the event of a server failure or data center outage, load balancers can redirect traffic to alternative locations, aiding in disaster recovery efforts. This capability improves business continuity and operational stability.
- **Global traffic management:** Businesses operating across multiple geographic locations use load balancers to distribute traffic globally, reducing latency for users by connecting them to the nearest available server. 
- **End-user satisfaction:** Nothing drives end users away from a website or application quite like having a bad user experience. Slow loading, slow responses, and page failures can dissuade users from returning and make the company’s employees reluctant to use their own infrastructure. Load balancing solutions help smooth the overall user experience, preventing these frustrations.
- **Cost effectiveness:** These solutions are more affordable and at the same time easier to provision when compared to hardware solutions. One can save money on the setup and maintenance costs by deploying a load balancer. 
- [Scalability](https://www.g2.com/glossary/scalability) **:** Software-based load balancing solutions allow servers to scale up and down on demand. In addition to this, they can be quickly put into the existing infrastructure without disturbing an application’s accessibility.

### Who uses load balancing software?

**Server administrators and IT teams:** Load balancing software is used mainly by server administrators and IT teams that get involved with server traffic handling. Since the software is specifically focused on mitigating server traffic, load balancing solutions don’t have much use outside these teams.

### Software related to load balancing software

Related solutions that can be used together with load balancing software include:

[Load testing software](https://www.g2.com/categories/load-testing) **:** While load balancing solutions help manage traffic once the servers are live, load testing software ensures that servers can handle the traffic. Load testing solutions will hit servers with a variety of load scenarios to verify they can function properly, even under strenuous situations.

[Application performance monitoring (APM) software](https://www.g2.com/categories/application-performance-monitoring-apm) **:** APM solutions can be used as potential indicators of when current load balancing isn’t functioning properly. Using APM software in conjunction with load balancing solutions adds an extra layer of performance monitoring for a company’s servers.

### Disadvantages of load balancing

Software solutions can come with their own set of challenges. 

- **Asymmetric balancing:** Certain methods of load balancing can lead to an unequal distribution of traffic. IP hashing, for example, can strain certain servers over others because of the call sources for connection requests. Round robin might create undue strain on certain servers due to average connection resource consumption being higher on some servers in the list than others. Each method has the possibility of presenting with an occasional unbalancing.
- **Single point of failure:** While load balancers are designed to enhance reliability, they themselves can become a single point of failure if not properly architected with redundancy. If a load balancer fails without a backup in place, it can lead to system downtime and service disruption.
- **Latency overhead:** Introducing a load balancer into the network path can add some latency to requests, as traffic must pass through an additional layer before reaching its intended destination. This may slightly degrade performance depending on the complexity of the load balancing rules and the processing power of the balancer itself.
- **Dependency on network design:** Load balancing effectiveness is heavily reliant on the underlying network design. Poor[network architecture](https://learn.g2.com/network-topology) can diminish the benefits of load balancing, resulting in bottlenecks or uneven traffic distribution that could negate performance gains.
- **Incompatibility with certain protocols:** Some load balancers may not work well with specific protocols, particularly older or proprietary protocols, which can limit the versatility of load balancing solutions in specific use cases.

### How to choose the best load balancing software for your business?

#### Requirements Gathering (RFI/RFP) for Load Balancing Software

If a company is just starting out and looking to purchase the first load balancing solution, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best load balancing software for the business.

The particular business pain points might be related to managing traffic spikes and preventing spikes on a single server. Administrators route network traffic to different servers with the help of these solutions. If the company has a lot of servers in place and huge traffic, the need is to look for a solution that can help look at the servers and determine which server to send the request to. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. 

Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a load balancing software.

#### Compare Load Balancing Software Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a short list**

From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of Load Balancing Software

**Choose a selection team**

Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities.

**Negotiation**

Just because something is written on a company’s pricing page, does not mean it is final (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

#### Final decision

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### Load balancing software trends

While the idea of load balancing itself is unlikely to change, the methods in which it is accomplished are far more likely to evolve.

**Artificial intelligence (AI) and machine learning**

As [AI](https://www.g2.com/articles/what-is-artificial-intelligence) and machine learning software advance, they can become increasingly valuable in assisting companies manage incoming loads. By analyzing past and active data, these tools can bolster load balancing by helping to intelligently manage traffic across servers.

### Researched and written by [Anindita Sengupta](https://research.g2.com/insights/author/anindita-sengupta)



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## What Are the Most Common Questions About Load Balancing Software?
*AI-generated · Last updated: June  3, 2026*
### Which load balancers Load Balancing integrate seamlessly with software AWS and Kubernetes-based infrastructure to identify the best
Based on G2 reviews, these products are most often used with AWS environments and Kubernetes-based infrastructure.

- [HAProxy](https://www.g2.com/products/haproxy) — ingress, EKS, AKS, API routing.
- [AWS Elastic Load Balancing](https://www.g2.com/products/aws-elastic-load-balancing) — EC2, EKS, Auto Scaling workflows.
- [Progress Kemp LoadMaster](https://www.g2.com/products/progress-kemp-loadmaster) — cluster traffic management and redirects.
- [Load Balancer Enterprise ADC](https://www.g2.com/products/load-balancer-enterprise-adc) — AWS high availability deployments.


### Load balancing software that maintains session consistency even during server maintenance windows
G2 reviewers mention that session-sensitive traffic is easier to manage when load balancing software supports health checks, graceful draining, and controlled failover during planned maintenance. Recent reviews describe teams using these tools to move users between healthy servers, keep critical applications available, and reduce disruption when backends are updated or taken offline. Reviewers also connect consistency to features such as SSL handling, Layer 4 and Layer 7 routing, URL rules, and high-availability pairs. A common buyer takeaway is that reliable maintenance handling depends not just on uptime, but on how predictably traffic is rerouted when servers are removed, patched, or recovered.


### Load balancing solutions with real-time health checks and automatic failover for redundant servers
G2 reviewers mention that modern load balancing solutions are valued for continuously checking backend health and automatically shifting traffic away from unavailable instances. In recent reviews, buyers repeatedly describe using these products to prevent single points of failure, reduce downtime, and support high availability for web apps, APIs, and internal services. Health monitoring is often tied to automatic failover, traffic redistribution, and easier maintenance across clusters or multiple servers. Reviewers also highlight the importance of clear visibility into service health, especially for teams managing production workloads, hybrid environments, or applications that need to stay responsive during spikes, outages, or infrastructure changes.


### What are the most important features in load balancing software
According to verified users, the most important features in load balancing software are health checks, automatic failover, traffic routing control, session persistence, SSL or TLS handling, and high-availability support. Recent G2 reviews also emphasize Layer 4 and Layer 7 balancing, reverse proxy capabilities, URL or content-based routing, and integrations with cloud or container environments. Buyers often look for observability as well, including logs, metrics, and dashboards that help troubleshoot routing behavior. Ease of setup matters, but reviewers frequently note that strong feature depth can come with a steeper learning curve, especially when managing advanced rules, certificates, maintenance windows, or multi-cluster deployments.


### How do teams use Load Balancing for Kubernetes
According to verified users, teams use Load Balancing for Kubernetes mainly to manage ingress traffic, distribute requests across services, and keep applications available as workloads scale. Recent reviews describe deployments supporting EKS, AKS, container clusters, and multi-cluster environments where routing control and backend health checks are critical. Reviewers also mention using load balancers to solve ingress controller issues, support local SSL in development, and simplify API or service mesh traffic management. For buyers evaluating fit, the common pattern is operational reliability: teams want predictable routing, support for containerized workloads, and the ability to keep services reachable during scaling events, maintenance, or node failures.