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StackGres VS OceanBase

Compare StackGres VS OceanBase and see what are their differences

StackGres

Fully-featured platform for running PostgreSQL on Kubernetes

Rating
0 reviews
Alternatives Is it good?
OceanBase

Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.

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Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
CloudCLI
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Which is more popular?

Based on our record, StackGres seems to be more popular. It has been mentioned 10 times since March 2021.

social mentions
10 vs 0
Cloud Computing popularity
100% vs 0%
alternatives listed
38 vs 16

Base details

Website, pricing, platforms and company facts side by side.

StackGres
OceanBase
Website stackgres.io en.oceanbase.com
Pricing
Official pricing
Open source Official pricing
Company — 2021
Listed in
Cloud Computing Developer Tools Cloud Hosting DevOps Tools +1
Databases Relational Databases AI Developer Tools +1

About StackGres and OceanBase

In their own words, as submitted to SaaSHub.

StackGres
OceanBase

No description of StackGres yet.

OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The...

Read more about OceanBase

Features and specs

What each product offers, as listed by its team.

StackGres 5 features
OceanBase 6 features
  • 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

  • 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.
  • Transparent Scalability
    1,500 nodes, PB data and a trillion rows of records in one cluster.
  • Ultra-fast Performance
    TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
  • Cost Efficiency
    saves 70%–90% of storage costs.
  • Real-time Analytics
    supports HTAP without additional cost.
  • Continuous Availability
    RPO = 0(zero data loss) and RTO < 8s(recovery time).
  • MySQL Compatible
    easily migrated from MySQL database.

Analysis

An editorial look at what each product does well and who it suits.

StackGres
OceanBase

No analysis of StackGres yet.

Overall verdict

  • OceanBase is a robust, enterprise-grade distributed relational database that has proven itself at massive scale, offering strong consistency, high availability, and MySQL/Oracle compatibility, making it a solid choice for organizations needing to handle high-concurrency, large-volume workloads.

Why this product is good

  • Battle-tested at extreme scale, famously handling Alipay's transaction peaks during major shopping events
  • Distributed architecture provides high availability, horizontal scalability, and strong data consistency
  • Compatible with MySQL and Oracle, easing migration and reducing application rewrite costs
  • Supports both OLTP and OLAP workloads (HTAP) within a single system
  • Offers strong disaster recovery with multi-replica and multi-datacenter deployment options
  • Cost efficiency through high data compression and resource utilization

Recommended for

  • Large enterprises with high-concurrency, mission-critical transactional workloads
  • Financial services and fintech companies needing strong consistency and reliability
  • Organizations seeking to migrate off Oracle or scale beyond single MySQL instances
  • Businesses requiring both transactional and analytical processing (HTAP)
  • Companies needing multi-region high availability and disaster recovery

Videos

Walkthroughs and reviews on video.

StackGres 0 videos + Add
OceanBase 1 video + Add

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

Architecture Insight of OceanBase: A Distributed SQL Database (Charlie Yang)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
StackGres
OceanBase
100% 100%
Cloud Computing
0% 0%
0% 0%
Databases
100% 100%
73% 73%
Developer Tools
27% 27%
0% 0%
Relational Databases
100% 100%

User comments

Share your experience with using StackGres and OceanBase. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

StackGres 10 mentions
OceanBase 0 mentions
  • 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... - Source: Hacker News / 3 months ago
  • Show HN: SQL-tap – 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,... - Source: Hacker News / 7 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... - Source: Hacker News / about 1 year ago

View more

Tracking OceanBase since Jun 2024.

Alternatives to StackGres and OceanBase

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