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Thanos.io VS Google Cloud SQL

Compare Thanos.io VS Google Cloud SQL and see what are their differences

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Thanos.io logo Thanos.io

Open source, highly available Prometheus setup with long term storage capabilities.

Google Cloud SQL logo Google Cloud SQL

Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.
  • Thanos.io Landing page
    Landing page //
    2022-11-21
  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18

Thanos.io features and specs

  • Global View
    Thanos provides a global view of all your Prometheus metrics, allowing you to query across multiple clusters and data sources seamlessly.
  • High Availability
    Thanos enables high availability by providing redundancy and failover for data queries, ensuring continuous access to metric data even if one or more Prometheus instances fail.
  • Long-term Storage
    Thanos offers long-term storage for Prometheus metrics, allowing users to store data efficiently beyond the retention period offered by Prometheus.
  • Scalability
    Designed to scale horizontally, Thanos can handle increased workloads and large volumes of data, accommodating growing environments.
  • Compatibility
    Thanos is fully compatible with Prometheus, which means you can integrate it without changing your existing Prometheus setup.

Possible disadvantages of Thanos.io

  • Complexity
    Setting up and managing Thanos can be complex compared to a standalone Prometheus installation, requiring additional components and configurations.
  • Resource Intensive
    Thanos can be resource-intensive, necessitating more storage and compute resources to handle data deduplication and global querying effectively.
  • Learning Curve
    Developers and operations teams may face a learning curve in adopting Thanos, requiring time to understand its architecture and best practices.
  • Network Overhead
    Using Thanos can introduce network overhead due to data being transferred across clusters and remote storage solutions, potentially impacting performance.
  • Dependency Management
    Implementing Thanos adds more components and dependencies to an infrastructure, which can lead to increased management and maintenance efforts.

Google Cloud SQL features and specs

  • Fully Managed Service
    Google Cloud SQL handles maintenance, backups, and updates, allowing developers to focus on application development rather than database management tasks.
  • Scalability
    Easily scale vertically by upgrading to more powerful machine types or horizontally to handle increased workload without manual intervention.
  • High Availability
    Google Cloud SQL offers automatic failover, replication, and backup, ensuring minimal downtime and data preservation in case of failures.
  • Security
    Provides multiple layers of security including encryption at rest and in transit, along with built-in firewall rules and IAM policies for robust access control.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Compute Engine, and Google Kubernetes Engine, supporting complex architectures and workflows.

Possible disadvantages of Google Cloud SQL

  • Cost
    It can be more expensive than self-managed solutions, especially as the need for additional resources and scaling arises.
  • Vendor Lock-in
    Relying on Google Cloud SQL could create dependency on the Google Cloud ecosystem, which might complicate future migration to other platforms.
  • Customization Limitations
    Being a managed service, it has constraints on certain configurations and customizations that might be essential for specific use cases.
  • Latency
    There might be increased latency compared to on-premises solutions, particularly for applications requiring very low-latency data access.
  • Compliance
    While Google Cloud SQL complies with many regulatory standards, some industries with highly specific requirements may find it unsuitable.

Thanos.io videos

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Google Cloud SQL videos

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GCP | Google Cloud SQL | Cloud SQL Features , Read Replicas & High Availability | DEMO

Category Popularity

0-100% (relative to Thanos.io and Google Cloud SQL)

Thanos.io

Google Cloud SQL

Dev Ops
100 100%
Dev Ops
0% 0
Databases
0 0%
Databases
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

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Social recommendations and mentions

Based on our record, Thanos.io should be more popular than Google Cloud SQL. It has been mentiond 32 times since March 2021. 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.

Thanos.io mentions (32)

  • Top 10 Prometheus Alternatives in 2024 [Includes Open-Source]
    Thanos is a set of components that can be added to an existing Prometheus deployment to enable long-term storage and global query view. - Source: dev.to / 12 months ago
  • Scaling Prometheus with Thanos
    Started in November 2017, Thanos is an open-source CNCF incubating project with over 12.8k stars on GitHub. Built on top of Prometheus, Thanos aims to provide a highly available Prometheus environment with long-term storage support and a global view of metrics. Companies like Disney, Abode, eBay, SoundCloud, and ByteDance use Thanos for monitoring at scale. However, setting up Thanos can be complex and requires... - Source: dev.to / about 1 year ago
  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / over 1 year ago
  • Looking for a way to remote in to K's of raspberry pi's...
    Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important). Source: almost 2 years ago
  • Monitoring multiple kubernetes cluster with single Prometheus operator
    Sounds like you want something like Thanos. Source: over 2 years ago
View more

Google Cloud SQL mentions (19)

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What are some alternatives?

When comparing Thanos.io and Google Cloud SQL, you can also consider the following products

Prometheus - An open-source systems monitoring and alerting toolkit.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

OpenCensus - Application and Data, Monitoring, and Monitoring Tools

MySQL - The world's most popular open source database

Cortex Project - Horizontally scalable, highly available, multi-tenant, long term Prometheus.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

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