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Clickhouse

388
518
+ 1
78
Oracle PL/SQL

739
580
+ 1
8
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Clickhouse vs Oracle PL/SQL: What are the differences?

## Key Differences between ClickHouse and Oracle PL/SQL

ClickHouse is a column-oriented database management system while Oracle PL/SQL is a procedural language extension for Oracle Database. ClickHouse excels in handling large-scale analytical workloads by storing data in columnar format, enabling efficient data compression and faster query performance. On the other hand, Oracle PL/SQL is designed for developing stored procedures, functions, and triggers within the Oracle Database environment, allowing for complex data manipulation and processing tasks directly within the database engine.

## 1. Storage Architecture:
ClickHouse stores data in a highly compressed columnar format, making it suitable for analytics workloads that involve aggregating and querying large datasets. In contrast, Oracle PL/SQL stores data in row-based format within Oracle Database tables, enabling efficient transaction processing and retrieval of individual records.

## 2. Query Performance:
ClickHouse is optimized for running analytical queries on large datasets, delivering high-speed query performance due to its column-oriented storage architecture and native support for parallel processing. Oracle PL/SQL, on the other hand, excels in transaction processing and data manipulation tasks, providing robust support for complex business logic implementation within Oracle Database.

## 3. Data Processing Capabilities:
ClickHouse is specialized in processing analytical queries such as aggregations, filtering, and transformations on massive datasets, making it a preferred choice for data warehousing and BI applications. In comparison, Oracle PL/SQL offers extensive procedural programming capabilities for developing custom functions and stored procedures within the Oracle Database environment, facilitating the integration of business rules and logic directly in the database.

## 4. Scalability:
ClickHouse is built for horizontal scalability and can efficiently handle large volumes of data by distributing data across multiple servers in a clustered setup, providing seamless expansion of storage and computational resources for growing workloads. Conversely, Oracle PL/SQL relies on Oracle Database's scalability features for vertical scaling, enabling the deployment of high-performance servers with increased CPU, memory, and storage capacity to meet growing demands.

## 5. Data Consistency and ACID Compliance:
ClickHouse focuses on providing high throughput and low latency for analytical queries, sacrificing real-time data consistency and transactional capabilities in favor of faster query processing speeds. In contrast, Oracle PL/SQL ensures strong data consistency and adheres to ACID (Atomicity, Consistency, Isolation, Durability) properties, making it a suitable choice for applications requiring transactional integrity and data reliability.

## 6. Cost and Licensing:
ClickHouse is an open-source database system that offers cost-effective deployment options for organizations looking to build scalable analytics platforms without incurring licensing fees. On the contrary, Oracle PL/SQL requires licenses for Oracle Database and additional costs for enterprise features, making it a more expensive choice for businesses seeking advanced database functionalities and comprehensive support services.

In Summary, ClickHouse and Oracle PL/SQL differ in their storage architecture, query performance, data processing capabilities, scalability, data consistency, and cost considerations, catering to distinct use cases in analytics, transaction processing, and business logic implementation within database environments.
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Pros of Clickhouse
Pros of Oracle PL/SQL
  • 19
    Fast, very very fast
  • 11
    Good compression ratio
  • 6
    Horizontally scalable
  • 5
    Great CLI
  • 5
    Utilizes all CPU resources
  • 5
    RESTful
  • 4
    Buggy
  • 4
    Open-source
  • 4
    Great number of SQL functions
  • 3
    Server crashes its normal :(
  • 3
    Has no transactions
  • 2
    Flexible connection options
  • 2
    Highly available
  • 2
    ODBC
  • 2
    Flexible compression options
  • 1
    In IDEA data import via HTTP interface not working
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
  • 1
    Pl/sql

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Cons of Clickhouse
Cons of Oracle PL/SQL
  • 5
    Slow insert operations
  • 2
    High commercial license cost

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What is Clickhouse?

It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.

What is Oracle PL/SQL?

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

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What companies use Clickhouse?
What companies use Oracle PL/SQL?
See which teams inside your own company are using Clickhouse or Oracle PL/SQL.
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What tools integrate with Clickhouse?
What tools integrate with Oracle PL/SQL?

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What are some alternatives to Clickhouse and Oracle PL/SQL?
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
InfluxDB
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
See all alternatives