Alternatives to Openstack Swift logo

Alternatives to Openstack Swift

Hadoop, ceph, Amazon S3, Cassandra, and Minio are the most popular alternatives and competitors to Openstack Swift.
22
68
+ 1
0

What is Openstack Swift and what are its top alternatives?

It is a highly available, distributed, eventually consistent object/blob store. Organizations can use Swift to store lots of data efficiently.
Openstack Swift is a tool in the Cloud Storage category of a tech stack.

Top Alternatives to Openstack Swift

  • Hadoop

    Hadoop

    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. ...

  • 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. ...

  • 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 ...

  • Cassandra

    Cassandra

    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL. ...

  • Minio

    Minio

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

  • 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. ...

Openstack Swift alternatives & related posts

Hadoop logo

Hadoop

1.9K
1.9K
55
Open-source software for reliable, scalable, distributed computing
1.9K
1.9K
+ 1
55
PROS OF HADOOP
  • 38
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
CONS OF HADOOP
    Be the first to leave a con

    related Hadoop posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber | 7 upvotes 路 914.2K views

    Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :

    Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:

    https://eng.uber.com/marmaray-hadoop-ingestion-open-source/

    (Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )

    See more
    Shared insights
    on
    Kafka
    Hadoop
    at

    The early data ingestion pipeline at Pinterest used Kafka as the central message transporter, with the app servers writing messages directly to Kafka, which then uploaded log files to S3.

    For databases, a custom Hadoop streamer pulled database data and wrote it to S3.

    Challenges cited for this infrastructure included high operational overhead, as well as potential data loss occurring when Kafka broker outages led to an overflow of in-memory message buffering.

    See more
    ceph logo

    ceph

    150
    193
    1
    A free-software storage platform
    150
    193
    + 1
    1
    PROS OF CEPH
    • 1
      Open source
    CONS OF CEPH
      Be the first to leave a con

      related ceph posts

      Amazon S3 logo

      Amazon S3

      36.1K
      25.1K
      2K
      Store and retrieve any amount of data, at any time, from anywhere on the web
      36.1K
      25.1K
      + 1
      2K
      PROS OF AMAZON S3
      • 590
        Reliable
      • 492
        Scalable
      • 456
        Cheap
      • 328
        Simple & easy
      • 83
        Many sdks
      • 29
        Logical
      • 12
        Easy Setup
      • 11
        1000+ POPs
      • 10
        REST API
      • 5
        Secure
      • 2
        Plug and play
      • 2
        Web UI for uploading files
      • 2
        Easy
      • 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 | 35 upvotes 路 718.8K views

      To provide employees with the critical need of interactive querying, we鈥檝e worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest鈥檚 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 路 2.5M 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
      Cassandra logo

      Cassandra

      3.1K
      3K
      463
      A partitioned row store. Rows are organized into tables with a required primary key.
      3.1K
      3K
      + 1
      463
      PROS OF CASSANDRA
      • 107
        Distributed
      • 90
        High performance
      • 77
        High availability
      • 71
        Easy scalability
      • 50
        Replication
      • 25
        Reliable
      • 24
        Multi datacenter deployments
      • 6
        Schema optional
      • 6
        OLTP
      • 5
        Open source
      • 2
        Workload separation (via MDC)
      CONS OF CASSANDRA
      • 1
        Reliability of replication
      • 1
        Updates

      related Cassandra posts

      Thierry Schellenbach
      Shared insights
      on
      Redis
      Cassandra
      RocksDB
      at

      1.0 of Stream leveraged Cassandra for storing the feed. Cassandra is a common choice for building feeds. Instagram, for instance started, out with Redis but eventually switched to Cassandra to handle their rapid usage growth. Cassandra can handle write heavy workloads very efficiently.

      Cassandra is a great tool that allows you to scale write capacity simply by adding more nodes, though it is also very complex. This complexity made it hard to diagnose performance fluctuations. Even though we had years of experience with running Cassandra, it still felt like a bit of a black box. When building Stream 2.0 we decided to go for a different approach and build Keevo. Keevo is our in-house key-value store built upon RocksDB, gRPC and Raft.

      RocksDB is a highly performant embeddable database library developed and maintained by Facebook鈥檚 data engineering team. RocksDB started as a fork of Google鈥檚 LevelDB that introduced several performance improvements for SSD. Nowadays RocksDB is a project on its own and is under active development. It is written in C++ and it鈥檚 fast. Have a look at how this benchmark handles 7 million QPS. In terms of technology it鈥檚 much more simple than Cassandra.

      This translates into reduced maintenance overhead, improved performance and, most importantly, more consistent performance. It鈥檚 interesting to note that LinkedIn also uses RocksDB for their feed.

      #InMemoryDatabases #DataStores #Databases

      See more
      Umair Iftikhar
      Technical Architect at Vappar | 3 upvotes 路 46.7K views

      Developing a solution that collects Telemetry Data from different devices, nearly 1000 devices minimum and maximum 12000. Each device is sending 2 packets in 1 second. This is time-series data, and this data definition and different reports are saved on PostgreSQL. Like Building information, maintenance records, etc. I want to know about the best solution. This data is required for Math and ML to run different algorithms. Also, data is raw without definitions and information stored in PostgreSQL. Initially, I went with TimescaleDB due to PostgreSQL support, but to increase in sites, I started facing many issues with timescale DB in terms of flexibility of storing data.

      My major requirement is also the replication of the database for reporting and different purposes. You may also suggest other options other than Druid and Cassandra. But an open source solution is appreciated.

      See more
      Minio logo

      Minio

      257
      404
      35
      AWS S3 open source alternative written in Go
      257
      404
      + 1
      35
      PROS OF MINIO
      • 7
        Store and Serve Resumes & Job Description PDF, Backups
      • 4
        S3 Compatible
      • 4
        Open Source
      • 4
        Simple
      • 3
        Encryption and Tamper-Proof
      • 2
        Private Cloud Storage
      • 2
        Lambda Compute
      • 2
        Data Protection
      • 2
        Highly Available
      • 2
        Pluggable Storage Backend
      • 2
        Scalable
      • 1
        Performance
      CONS OF MINIO
      • 1
        Deletion of huge buckets is not possible

      related Minio posts

      Google Cloud Storage logo

      Google Cloud Storage

      1.1K
      954
      73
      Durable and highly available object storage service
      1.1K
      954
      + 1
      73
      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

        643
        492
        82
        Block level storage volumes for use with Amazon EC2 instances.
        643
        492
        + 1
        82
        PROS OF AMAZON EBS
        • 36
          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

          553
          614
          50
          Reliable, economical cloud storage for data big and small
          553
          614
          + 1
          50
          PROS OF AZURE STORAGE
          • 22
            All-in-one storage solution
          • 15
            Pay only for data used regardless of disk size
          • 9
            Shared drive mapping
          • 2
            Cheapest hot and cloud storage
          • 2
            Cost-effective
          CONS OF AZURE STORAGE
          • 2
            Direct support is not provided by Azure storage

          related Azure Storage posts