Software Alternatives, Accelerators & Startups

OceanBase VS Hashquery

Compare OceanBase VS Hashquery and see what are their differences

OceanBase logo 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.

Hashquery logo Hashquery

A Python framework for defining and querying BI models in your data warehouse.
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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 OceanBase Database is not dependent on specific hardware architectures.

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OceanBase features and specs

  • 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%โ€“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.

Hashquery features and specs

No features have been listed yet.

OceanBase videos

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

Hashquery videos

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Category Popularity

0-100% (relative to OceanBase and Hashquery)
Databases
81 81%
19% 19
Big Data
0 0%
100% 100
Relational Databases
91 91%
9% 9
Data Warehousing
75 75%
25% 25

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What are some alternatives?

When comparing OceanBase and Hashquery, you can also consider the following products

MySQL - The world's most popular open source database

Apache Pinot - Apache Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency.

TiDB - A distributed NewSQL database compatible with MySQL protocol

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.