Citus vs Tibero

Overview

Citus

Stacks60

Followers124

Votes11

GitHub Stars12.0K

Forks736

Tibero

Stacks10

Followers17

Votes11

Citus vs Tibero: What are the differences?

Introduction: 
In this comparison, we will highlight the key differences between Citus and Tibero databases.

1. **Architecture**: Citus is a distributed database that scales out horizontally by sharding data across multiple nodes, whereas Tibero is a relational database designed for high availability and scalability on a single node. 
   
2. **SQL Compatibility**: Citus supports PostgreSQL as its core database, enabling full SQL compatibility with its extensions, while Tibero conforms to ANSI SQL standards with added functionalities for improved performance. 

3. **Partitioning Method**: Citus employs hash-based sharding to distribute data evenly across nodes for parallel processing, whereas Tibero utilizes range partitioning for efficient data storage and retrieval based on predefined ranges. 

4. **Data Replication**: Citus allows replication of shards across nodes for data redundancy and fault tolerance, whereas Tibero offers synchronous and asynchronous replication options for ensuring data consistency and availability. 

5. **Scaling Capabilities**: Citus provides linear scalability by adding more nodes to the cluster to accommodate growing data volumes, while Tibero requires vertical scaling by upgrading hardware resources on the existing node for increased performance. 

6. **Use Cases**: Citus is well-suited for real-time analytics, multi-tenant SaaS applications, and large-scale operational databases that require horizontal scaling, while Tibero caters to enterprise applications, data warehousing, and mission-critical systems that demand high availability and robust performance.

In Summary, Citus focuses on horizontal scalability with distributed architecture and PostgreSQL compatibility, whereas Tibero emphasizes vertical scalability with high availability and ANSI SQL standards adherence.

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Advice on Citus, Tibero

Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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Detailed Comparison

Citus	Tibero
It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.	It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.
Multi-Node Scalable PostgreSQL;Built-in Replication and High Availability;Real-time Reads/Writes On Multiple Nodes;Multi-core Parallel Processing of Queries;Tenant isolation	Highly compatible with Oracle – in some cases as much as 97% compatibility; High availability (Active-Active clustering); Simple licensing model similar to SaaS subscription pricing; High performance transaction processing; Scales with commodity hardware rather than expensive proprietary database servers; Active or passive standby database capability; Hyper-thread architecture; High security database encryption; Multi-node parallel recovery; Reliable shared server; Tibero Enterprise Edition is all inclusive, with no additional products to purchase
Statistics
GitHub Stars 12.0K	GitHub Stars -
GitHub Forks 736	GitHub Forks -
Stacks 60	Stacks 10
Followers 124	Followers 17
Votes 11	Votes 11
Pros & Cons
Pros 6 Multi-core Parallel Processing 3 Drop-in PostgreSQL replacement 2 Distributed with Auto-Sharding	Pros 1 Simple Licensing model 1 Lower TCO 1 High performance transaction processing 1 Active or passive standby DB capability 1 Hyper-thread architecture
Integrations
.NET Apache Spark Loggly Java Rails Datadog Logentries Heroku Papertrail PostgreSQL	Oracle

What are some alternatives to Citus, Tibero?

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

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

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

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 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

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.

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.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

Citus vs Tibero: What are the differences?

Introduction: 
In this comparison, we will highlight the key differences between Citus and Tibero databases.

1. **Architecture**: Citus is a distributed database that scales out horizontally by sharding data across multiple nodes, whereas Tibero is a relational database designed for high availability and scalability on a single node. 
   
2. **SQL Compatibility**: Citus supports PostgreSQL as its core database, enabling full SQL compatibility with its extensions, while Tibero conforms to ANSI SQL standards with added functionalities for improved performance. 

3. **Partitioning Method**: Citus employs hash-based sharding to distribute data evenly across nodes for parallel processing, whereas Tibero utilizes range partitioning for efficient data storage and retrieval based on predefined ranges. 

4. **Data Replication**: Citus allows replication of shards across nodes for data redundancy and fault tolerance, whereas Tibero offers synchronous and asynchronous replication options for ensuring data consistency and availability. 

5. **Scaling Capabilities**: Citus provides linear scalability by adding more nodes to the cluster to accommodate growing data volumes, while Tibero requires vertical scaling by upgrading hardware resources on the existing node for increased performance. 

6. **Use Cases**: Citus is well-suited for real-time analytics, multi-tenant SaaS applications, and large-scale operational databases that require horizontal scaling, while Tibero caters to enterprise applications, data warehousing, and mission-critical systems that demand high availability and robust performance.

Citus vs Tibero

Overview