Alternatives to OpenEBS logo

Alternatives to OpenEBS

ceph, Portworx, Rook, Minio, and Amazon S3 are the most popular alternatives and competitors to OpenEBS.
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What is OpenEBS and what are its top alternatives?

OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.
OpenEBS is a tool in the Cloud Storage category of a tech stack.
OpenEBS is an open source tool with 7.3K GitHub stars and 923 GitHub forks. Here’s a link to OpenEBS's open source repository on GitHub

Top Alternatives to OpenEBS

  • ceph

    ceph

    In computing,It is a free-software storage platform, implements object storage on a single distributed computer cluster, and provides interfaces for object-, block- and file-level storage. ...

  • Portworx

    Portworx

    It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments. ...

  • Rook

    Rook

    It is an open source cloud-native storage orchestrator for Kubernetes, providing the platform, framework, and support for a diverse set of storage solutions to natively integrate with cloud-native environments. ...

  • Minio

    Minio

    Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License ...

  • Amazon S3

    Amazon S3

    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web ...

  • Google Cloud Storage

    Google Cloud Storage

    Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure. ...

  • Amazon EBS

    Amazon EBS

    Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage. ...

  • Azure Storage

    Azure Storage

    Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud. ...

OpenEBS alternatives & related posts

ceph logo

ceph

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A free-software storage platform
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PROS OF CEPH
  • 2
    Open source
CONS OF CEPH
    Be the first to leave a con

    related ceph posts

    Portworx logo

    Portworx

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    Manage any database or stateful service on any infrastructure using any container scheduler
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    PROS OF PORTWORX
      Be the first to leave a pro
      CONS OF PORTWORX
        Be the first to leave a con

        related Portworx posts

        Rook logo

        Rook

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        Open source file, block and object storage for Kubernetes
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        PROS OF ROOK
        • 3
          Minio Integration
        • 1
          Open Source
        CONS OF ROOK
        • 2
          Ceph is difficult
        • 1
          Slow

        related Rook posts

        Minio logo

        Minio

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        AWS S3 open source alternative written in Go
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        PROS OF MINIO
        • 8
          Store and Serve Resumes & Job Description PDF, Backups
        • 5
          S3 Compatible
        • 4
          Simple
        • 4
          Open Source
        • 3
          Encryption and Tamper-Proof
        • 2
          Highly Available
        • 2
          Pluggable Storage Backend
        • 2
          Lambda Compute
        • 2
          Private Cloud Storage
        • 2
          Scalable
        • 2
          Data Protection
        • 1
          Performance
        CONS OF MINIO
        • 2
          Deletion of huge buckets is not possible

        related Minio posts

        Amazon S3 logo

        Amazon S3

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        Store and retrieve any amount of data, at any time, from anywhere on the web
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        PROS OF AMAZON S3
        • 591
          Reliable
        • 492
          Scalable
        • 456
          Cheap
        • 328
          Simple & easy
        • 83
          Many sdks
        • 29
          Logical
        • 12
          Easy Setup
        • 11
          1000+ POPs
        • 10
          REST API
        • 5
          Secure
        • 3
          Easy
        • 2
          Web UI for uploading files
        • 2
          Plug and play
        • 1
          GDPR ready
        • 1
          Flexible
        • 1
          Faster on response
        • 1
          Plug-gable
        • 1
          Easy to use
        • 1
          Easy integration with CloudFront
        CONS OF AMAZON S3
        • 7
          Permissions take some time to get right
        • 6
          Takes time/work to organize buckets & folders properly
        • 5
          Requires a credit card
        • 3
          Complex to set up

        related Amazon S3 posts

        Ashish Singh
        Tech Lead, Big Data Platform at Pinterest · | 36 upvotes · 918.3K views

        To provide employees with the critical need of interactive querying, we’ve worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest’s scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.

        Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.

        We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.

        Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.

        Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.

        #BigData #AWS #DataScience #DataEngineering

        See more
        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.5M 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
        Google Cloud Storage logo

        Google Cloud Storage

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        Durable and highly available object storage service
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        PROS OF GOOGLE CLOUD STORAGE
        • 28
          Scalable
        • 18
          Cheap
        • 14
          Reliable
        • 9
          Easy
        • 3
          Chealp
        • 1
          More praticlal and easy
        CONS OF GOOGLE CLOUD STORAGE
          Be the first to leave a con

          related Google Cloud Storage posts

          Aliadoc Team

          In #Aliadoc, we're exploring the crowdfunding option to get traction before launch. We are building a SaaS platform for website design customization.

          For the Admin UI and website editor we use React and we're currently transitioning from a Create React App setup to a custom one because our needs have become more specific. We use CloudFlare as much as possible, it's a great service.

          For routing dynamic resources and proxy tasks to feed websites to the editor we leverage CloudFlare Workers for improved responsiveness. We use Firebase for our hosting needs and user authentication while also using several Cloud Functions for Firebase to interact with other services along with Google App Engine and Google Cloud Storage, but also the Real Time Database is on the radar for collaborative website editing.

          We generally hate configuration but honestly because of the stage of our project we lack resources for doing heavy sysops work. So we are basically just relying on Serverless technologies as much as we can to do all server side processing.

          Visual Studio Code definitively makes programming a much easier and enjoyable task, we just love it. We combine it with Bitbucket for our source code control needs.

          See more
          Amazon EBS logo

          Amazon EBS

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          Block level storage volumes for use with Amazon EC2 instances.
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          PROS OF AMAZON EBS
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            Point-in-time snapshots
          • 27
            Data reliability
          • 19
            Configurable i/o performance
          CONS OF AMAZON EBS
            Be the first to leave a con

            related Amazon EBS posts

            We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

            We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

            We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

            You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

            See more
            Azure Storage logo

            Azure Storage

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            Reliable, economical cloud storage for data big and small
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            PROS OF AZURE STORAGE
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              All-in-one storage solution
            • 15
              Pay only for data used regardless of disk size
            • 9
              Shared drive mapping
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              Cost-effective
            • 2
              Cheapest hot and cloud storage
            CONS OF AZURE STORAGE
            • 2
              Direct support is not provided by Azure storage

            related Azure Storage posts