Alternatives to Imperva logo

Alternatives to Imperva

Akamai, CloudFlare, Incapsula, AWS WAF, and F5 are the most popular alternatives and competitors to Imperva.
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What is Imperva and what are its top alternatives?

Imperva is a cybersecurity company that provides solutions for protecting data and applications on-premises, in the cloud, and across hybrid environments. Its key features include web application firewalls, DDoS protection, database security, and API security. However, some limitations of Imperva include the complexity of deployment and management, as well as the cost of the solutions.

  1. Cloudflare: Cloudflare offers a range of services including DDoS protection, web application firewall, and CDN. Pros: Easy to configure, global network for faster performance. Cons: Limited customization options.
  2. Akamai: Akamai provides security solutions like web application firewall and DDoS protection. Pros: Scalable solutions, advanced threat intelligence. Cons: Expensive for small businesses.
  3. Barracuda Networks: Barracuda offers web application firewall, DDoS protection, and email security solutions. Pros: Easy to deploy, comprehensive security features. Cons: Limited advanced customization options.
  4. Fortinet: Fortinet provides a range of cybersecurity solutions including web application firewall and DDoS protection. Pros: Integrated security fabric, advanced threat protection. Cons: Complex setup for beginners.
  5. Sophos: Sophos offers web application firewall, DDoS protection, and endpoint security solutions. Pros: User-friendly interface, good endpoint protection. Cons: Limited customization options.
  6. F5 Networks: F5 Networks provides security solutions like web application firewall and DDoS protection. Pros: Advanced security features, extensive support options. Cons: High cost for some features.
  7. Radware: Radware offers DDoS protection, web application firewall, and bot management solutions. Pros: Comprehensive security features, real-time monitoring. Cons: Complex setup and configuration.
  8. Palo Alto Networks: Palo Alto Networks provides web application firewall and advanced threat protection solutions. Pros: Best-in-class threat intelligence, easy integration with other security tools. Cons: High cost for full feature set.
  9. Check Point Software: Check Point Software offers web application firewall, DDoS protection, and mobile security solutions. Pros: Robust security features, scalable solutions. Cons: Steep learning curve for administrators.
  10. Netskope: Netskope provides cloud security solutions including data loss prevention and threat protection. Pros: Comprehensive cloud security features, easy deployment. Cons: Limited on-premises security options.

Top Alternatives to Imperva

  • Akamai
    Akamai

    If you've ever shopped online, downloaded music, watched a web video or connected to work remotely, you've probably used Akamai's cloud platform. Akamai helps businesses connect the hyperconnected, empowering them to transform and reinvent their business online. We remove the complexities of technology, so you can focus on driving your business faster forward. ...

  • CloudFlare
    CloudFlare

    Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet. ...

  • Incapsula
    Incapsula

    Through an application-aware, global content delivery network (CDN), Incapsula provides any website and web application with best-of-breed security, DDoS protection, load balancing and failover solutions. ...

  • AWS WAF
    AWS WAF

    AWS WAF is a web application firewall that helps protect your web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. ...

  • F5
    F5

    It powers apps from development through their entire life cycle, so our customers can deliver differentiated, high-performing, and secure digital experiences. ...

  • IBM Guardium
    IBM Guardium

    It is a comprehensive data protection platform that enables security teams to automatically analyze what is happening in sensitive-data environments (databases, data warehouses, big data platforms, cloud environments, files systems, and so on) to help minimize risk and protect sensitive data. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

Imperva alternatives & related posts

Akamai logo

Akamai

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      CloudFlare logo

      CloudFlare

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      Eugene Cheah

      For inboxkitten.com, an opensource disposable email service;

      We migrated our serverless workload from Cloud Functions for Firebase to CloudFlare workers, taking advantage of the lower cost and faster-performing edge computing of Cloudflare network. Made possible due to our extremely low CPU and RAM overhead of our serverless functions.

      If I were to summarize the limitation of Cloudflare (as oppose to firebase/gcp functions), it would be ...

      1. <5ms CPU time limit
      2. Incompatible with express.js
      3. one script limitation per domain

      Limitations our workload is able to conform with (YMMV)

      For hosting of static files, we migrated from Firebase to CommonsHost

      More details on the trade-off in between both serverless providers is in the article

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      CDG

      I use Laravel because it's the most advances PHP framework out there, easy to maintain, easy to upgrade and most of all : easy to get a handle on, and to follow every new technology ! PhpStorm is our main software to code, as of simplicity and full range of tools for a modern application.

      Google Analytics Analytics of course for a tailored analytics, Bulma as an innovative CSS framework, coupled with our Sass (Scss) pre-processor.

      As of more basic stuff, we use HTML5, JavaScript (but with Vue.js too) and Webpack to handle the generation of all this.

      To deploy, we set up Buddy to easily send the updates on our nginx / Ubuntu server, where it will connect to our GitHub Git private repository, pull and do all the operations needed with Deployer .

      CloudFlare ensure the rapidity of distribution of our content, and Let's Encrypt the https certificate that is more than necessary when we'll want to sell some products with our Stripe api calls.

      Asana is here to let us list all the functionalities, possibilities and ideas we want to implement.

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      Incapsula logo

      Incapsula

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        AWS WAF

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                IBM Guardium logo

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                      Non-blocking i/o
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                      Ubiquitousness
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                      Expressive
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                      Extended functionality to web pages
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                      Relatively easy language
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                      Executed on the client side
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                      Relatively fast to the end user
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                      Pure Javascript
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                      Functional programming
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                      Async
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                      Full-stack
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                      Setup is easy
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                      Future Language of The Web
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                      Its everywhere
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                      Because I love functions
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                      JavaScript is the New PHP
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                      Like it or not, JS is part of the web standard
                    • 9
                      Expansive community
                    • 9
                      Everyone use it
                    • 9
                      Can be used in backend, frontend and DB
                    • 9
                      Easy
                    • 8
                      Most Popular Language in the World
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                      Powerful
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                      Can be used both as frontend and backend as well
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                      Easy to hire developers
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                      Evolution of C
                    • 7
                      It's fun
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                      It let's me use Babel & Typescript
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                      Can be used on frontend/backend/Mobile/create PRO Ui
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                      Easy to make something
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                      Stockholm Syndrome
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                    Zach Holman

                    Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

                    But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

                    But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

                    Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

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                    Conor Myhrvold
                    Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M views

                    How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

                    Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

                    Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

                    https://eng.uber.com/distributed-tracing/

                    (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

                    Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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                    Git logo

                    Git

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                      Small & Fast
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                      Feature based workflow
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                      Staging Area
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                      Role-based codelines
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                    Simon Reymann
                    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M views

                    Our whole DevOps stack consists of the following tools:

                    • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
                    • Respectively Git as revision control system
                    • SourceTree as Git GUI
                    • Visual Studio Code as IDE
                    • CircleCI for continuous integration (automatize development process)
                    • Prettier / TSLint / ESLint as code linter
                    • SonarQube as quality gate
                    • Docker as container management (incl. Docker Compose for multi-container application management)
                    • VirtualBox for operating system simulation tests
                    • Kubernetes as cluster management for docker containers
                    • Heroku for deploying in test environments
                    • nginx as web server (preferably used as facade server in production environment)
                    • SSLMate (using OpenSSL) for certificate management
                    • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
                    • PostgreSQL as preferred database system
                    • Redis as preferred in-memory database/store (great for caching)

                    The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

                    • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
                    • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
                    • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
                    • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
                    • Scalability: All-in-one framework for distributed systems.
                    • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
                    See more
                    Tymoteusz Paul
                    Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

                    Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

                    It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

                    I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

                    We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

                    If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

                    The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

                    Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

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