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Apache Mesos VS StackGres

Compare Apache Mesos VS StackGres and see what are their differences

Apache Mesos logo Apache Mesos

Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

StackGres logo StackGres

Fully-featured platform for running PostgreSQL on Kubernetes
  • Apache Mesos Landing page
    Landing page //
    2018-09-30
  • StackGres Landing page
    Landing page //
    2022-05-20

Apache Mesos features and specs

  • Scalability
    Apache Mesos is designed to scale to thousands of nodes, making it ideal for large-scale distributed systems.
  • Resource Isolation
    Mesos uses containerization techniques (like Docker and Mesos containers) to provide resource isolation, ensuring applications run in their own secure environments.
  • Fault Tolerance
    The framework is built with fault tolerance in mind. It continuously monitors the health of all nodes and can move tasks from failing nodes to healthy ones.
  • Multi-Framework Support
    Mesos can manage multiple types of workloads through different frameworks like Apache Spark, Apache Hadoop, and Kubernetes simultaneously on the same cluster.
  • Resource Efficient
    It provides fine-grained resource allocation, allowing multiple applications to share a single cluster, which leads to more efficient resource utilization.

Possible disadvantages of Apache Mesos

  • Steep Learning Curve
    Setting up and managing a Mesos cluster can be complex and requires a thorough understanding of the framework and its components.
  • Operational Complexity
    Mesos requires additional components like Marathon (for container orchestration) which adds to the operational overhead.
  • Maturity
    While Mesos is a robust system, it may not be as mature or feature-rich as some cloud-native solutions like Kubernetes, which have seen wider adoption.
  • Community Support
    As Mesos is somewhat overshadowed by Kubernetes, it has a smaller community and fewer third-party integrations compared to more popular orchestration tools.
  • Ecosystem Integration
    Many new-age DevOps tools and CI/CD pipelines are primarily designed with Kubernetes in mind, which might result in limited integration capabilities with Mesos.

StackGres features and specs

  • Integrated PostgreSQL Management
    StackGres provides a comprehensive suite for managing PostgreSQL clusters, simplifying configuration, deployment, and maintenance.
  • Scalability
    StackGres supports dynamic scaling of PostgreSQL clusters, allowing for flexible resource allocation based on workload demands.
  • Kubernetes Native
    Built on Kubernetes, StackGres leverages its powerful orchestration capabilities for high availability and container management.
  • Security Features
    Includes advanced security features like SSL/TLS, authentication, and role-based access control to safeguard data and connections.
  • Monitoring and Alerting
    Comes with integrated monitoring and alerting tools, providing insights into database performance and health metrics.

Possible disadvantages of StackGres

  • Complexity
    The Kubernetes-based environment can introduce complexity for users unfamiliar with container orchestration and management.
  • Resource Intensive
    Running StackGres requires significant computational resources, which might be overkill for small-scale or less demanding applications.
  • Learning Curve
    New users may face a steep learning curve in mastering StackGres for effective management of PostgreSQL in a Kubernetes environment.
  • Cost Considerations
    While powerful, using Kubernetes and associated resources for StackGres can lead to higher operational costs.
  • Dependency on Kubernetes
    Requires a functional Kubernetes cluster, which might be a barrier for organizations not currently using Kubernetes.

Analysis of Apache Mesos

Overall verdict

  • Apache Mesos is a strong choice for organizations looking for a scalable and flexible resource management system, especially if they have diverse workloads that require efficient orchestration. However, its complexity might pose a challenge for smaller teams or use cases that do not require such extensive features.

Why this product is good

  • Apache Mesos is known for its ability to abstract the entire data center into a single pool of resources, thus simplifying resource management and allocation for distributed systems. It allows for efficient sharing of resources across different applications and offers strong support for container orchestration, microservices, and big data applications. Mesos is highly adaptable and can work with a variety of different workload types, making it suitable for diverse environments.

Recommended for

  • Large organizations with complex infrastructure needs.
  • Teams that require high scalability and flexibility.
  • Projects that involve big data frameworks like Apache Spark or Hadoop.
  • Development environments necessitating custom resource scheduling.

Apache Mesos videos

Reactive Stream Processing Using Apache Mesos

StackGres videos

No StackGres videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Mesos and StackGres)
Developer Tools
87 87%
13% 13
Cloud Computing
0 0%
100% 100
Containers As A Service
100 100%
0% 0
DevOps Tools
87 87%
13% 13

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Mesos and StackGres

Apache Mesos Reviews

Docker Alternatives
Another Docker alternative is Apache Mesos. This tool is designed to leverage the features of modern kernels in order to carry out functions like resource isolation, prioritization, limiting & accounting. These functions are generally carried out by groups in the Linux or zones in the Solaris. What Mesos does is, it provides isolation for the Memory, I/O devices, file...
Source: www.educba.com

StackGres Reviews

We have no reviews of StackGres yet.
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Social recommendations and mentions

Apache Mesos might be a bit more popular than StackGres. We know about 12 links to it since March 2021 and only 10 links to StackGres. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Mesos mentions (12)

  • Continuous integration with containers and inceptions
    As many of you already know, containers are something of wonder. They exist since the old days of computing in a concept called OS-level virtualization. Since then, for their flexibility, they have been used in an orchestrated manner by many awesome tools, like Kubernetes, DC/OS, Apache Mesos and many more. This provides not only an abstraction layer on OS-Level but also enables a great deal of automation where... - Source: dev.to / 9 months ago
  • Erlang's not about lightweight processes and message passing
    Erlang, OTP, and the BEAM offer much more than just behaviours. The VM is similar to a virtual kernel with supervisor, isolated processes, and distributed mode that treats multiple (physical or virtual) machines as a single pool of resources. OTP provides numerous useful modes, such as Mnesia (database) and atomic counters/ETS tables (for caching), among others. The runtime also supports bytecode hot-reloading, a... - Source: Hacker News / over 1 year ago
  • Kubernetes Simplified: A Comprehensive Introduction for Beginners
    Apache Mesos, a robust cluster manager, excels at handling diverse workloads beyond just containers, offering flexibility for organizations with varying needs. - Source: dev.to / almost 2 years ago
  • Containers Orchestration and Kubernetes
    Even though this article will be focused on Kubernetes I want to mention that there are multiple container orchestration platforms such as Mesos, Docker Swarm, OpenShift, Rancher, Hashicorp Nomad, etc. - Source: dev.to / about 2 years ago
  • eBPF, sidecars, and the future of the service mesh
    I worked at several Bay Area startups, mainly in NLP and machine learning roles. I was part of a company called PowerSet, which was building a natural language processing engine and was acquired by Microsoft. I then joined Twitter in its early days, around 2010, when it had about 200 employees. I started on the AI side but transitioned to infrastructure because I found it more satisfying and challenging. We were... - Source: dev.to / about 2 years ago
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StackGres mentions (10)

  • TimescaleDB compresses time-series data
    At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / about 2 months ago
  • Show HN: SQL-tap โ€“ Real-time SQL traffic viewer for PostgreSQL and MySQL
    * Latency. Yes, yes, yes, they add "microseconds" vs "milliseconds for queries", and that's true, but just part of the story. There's an extra hop. There's two extra sets of TCP layers being traversed. If the hop is local (say a sidecar, as we do in StackGres) it adds complexity in its deployment and management (something we solved by automation, but was an extra problem to solve) and consumes resources. If it's a... - Source: Hacker News / 6 months ago
  • Application Less Containers
    This is conceptually similar to what we did for Postgres extensions at the StackGres [1] project. I gave a talk at a Kubecon about it [2]. However, this scheme is not perfect. Some Kubernetes security solutions enforce immutable containers, and once the agent pulls any additional file into the container, it will be flagged. It's also harder to reason about the security of the image (think CVEs, etc), given that... - Source: Hacker News / about 1 year ago
  • Pg_lakehouse: Query Any Data Lake from Postgres
    I applaud the decision to use AGPL-3.0. For me, it's a license that provides forward guarantees to the Community: no proprietary forks can happen, so any fork will be an OSS fork from which the upstream project may benefit too, which benefits all users. That's the reason we chose this license for StackGres [1], another project in the Postgres space. [1]: https://stackgres.io. - Source: Hacker News / about 2 years ago
  • Keycloak with PostgreSQL on Kubernetes
    This is good and interesting recipe to get Keycloak and Postgres on Kubernetes. There is an important improvement, though: the Postgres deployed here is not production ready (high availability, backups, monitoring, etc). We run Keycloak on StackGres [1] which gives us production-ready Postgres setup (disclaimer: it's dogfooding). Happy to share the YAML manifests used to deploy Keycloak with StackGres. Maybe we... - Source: Hacker News / over 3 years ago
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What are some alternatives?

When comparing Apache Mesos and StackGres, you can also consider the following products

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...

TiDB - A distributed NewSQL database compatible with MySQL protocol

Docker Swarm - Native clustering for Docker. Turn a pool of Docker hosts into a single, virtual host.

Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.