Oxla vs. Other OLAP Solutions

8min

There are several different types of distributed database management systems (DBMS). But there isn't a database system that works for everyone. Each makes different compromises to suit particular situations. In this section, we attempt to explain how Oxla differs from other OLAP-using systems.
The ComparisonThe comparison tests were performed on a single node; using more nodes will significantly improve the results. Below are the detailed prototype test results on AWS between Oxla and selected alternatives (ClickHouse, Presto, Parquet):
a) PerformanceOxla
ClickHouse
Supports a lot of Clauses, Data Types, and Functions. Such as GROUP BY, JOIN (INNER JOIN, LEFT JOIN, RIGHT JOIN, OUTER JOIN)

We also support uncorrelated subqueries e.g.
SELECT num
COUNT(*) count FROM (SELECT ageCOUNT(*) as num FROM user GROUP BY age) 
Non-standard SQL-like query language with several limitations.


Oxla has homogenous architecture: there are no workers, data, or master nodes. One of the nodes is dynamically selected as the leader with no single point of failure. 
On-premise with dedicated clusters, no elasticity. We need to migrate into bigger/smaller clusters.
b) CostOxla
ClickHouse
$0.023 per GB/month
$0.24 per GB/month
ConclusionOur tests show that Oxla's performance surpasses all other distributed database management systems with the following results:
Oxla processes a large number of data at an extremely high data processing speed.
Oxla can reduce 80% of data infrastructure costs compared to the others.
Oxla will not be affected by the massive data you have. The storage (RAM) needed will stay low with a small cost you pay.
﻿
Now What?Understanding Oxla and then comparing it with other solutions made us realize that there are a lot of choices in today’s database market - but in the end, there will be only one right tool for the job.
We suggest you take a step back and evaluate your products, team talents, market, and needs before deciding what to use for your business. Choosing the right technology today can make a huge difference now and in the future.
✅ Choose an architecture that will grow with you rather than one that makes you start over.
We, at Oxla, will be super pleased to support you in achieving your goal with our dazzling distributed DBMS ✨
Are you curious about Oxla? Join our waiting list! 🙋‍♂️

Updated 11 May 2023

Did this page help you?

Yes

OLTP vs OLAP

Our Key Features

Docs powered by archbee

TABLE OF CONTENTS

Oxla	ClickHouse
Supports a lot of Clauses, Data Types, and Functions. Such as GROUP BY, JOIN (INNER JOIN, LEFT JOIN, RIGHT JOIN, OUTER JOIN) We also support uncorrelated subqueries e.g. SELECT num COUNT() count FROM (SELECT ageCOUNT() as num FROM user GROUP BY age)	Non-standard SQL-like query language with several limitations.
Oxla has homogenous architecture: there are no workers, data, or master nodes. One of the nodes is dynamically selected as the leader with no single point of failure.	On-premise with dedicated clusters, no elasticity. We need to migrate into bigger/smaller clusters.