StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Chronix vs Oracle PL/SQL

Chronix vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Chronix
Chronix
Stacks3
Followers12
Votes0
GitHub Stars266
Forks27
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

Chronix vs Oracle PL/SQL: What are the differences?

<Write Introduction here>

1. **Data Model**: Chronix uses SQL-like queries and tables, while Oracle PL/SQL uses stored procedures and functions for data manipulation and retrieval.
2. **Support for Time Series Data**: Chronix is specifically designed for managing time series data, offering specialized functions and optimizations, whereas Oracle PL/SQL provides general-purpose database capabilities.
3. **Scalability**: Chronix is optimized for efficient storage and retrieval of time series data, making it more scalable and suitable for large datasets compared to Oracle PL/SQL.
4. **Data Storage**: Chronix stores data in a time series database format, which is different from the traditional relational database storage used by Oracle PL/SQL.
5. **Query Performance**: Due to its specialized nature, Chronix may offer better query performance for time series data compared to Oracle PL/SQL, which may require additional optimizations for similar performance.
6. **Community and Support**: Oracle PL/SQL has a larger community and more extensive support resources compared to Chronix, which may affect the availability of resources and expertise for development and troubleshooting.

In Summary, Chronix and Oracle PL/SQL differ in data model, support for time series data, scalability, data storage, query performance, and community support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Chronix
Chronix
Oracle PL/SQL
Oracle PL/SQL

Chronix is built to store time series highly compressed and for fast access times. In comparison to related time series databases, Chronix does not only take 5 to 171 times less space, but it also shaves off 83% of the access time, and up to 78% off the runtime on a mix of real world queries.

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.

Statistics
GitHub Stars
266
GitHub Stars
-
GitHub Forks
27
GitHub Forks
-
Stacks
3
Stacks
748
Followers
12
Followers
598
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Integrations
No integrations available
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to Chronix, Oracle PL/SQL?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

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.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase