Dolt vs Tibero

Overview

Tibero

Stacks10

Followers17

Votes11

Dolt

Stacks6

Followers17

Votes0

Dolt vs Tibero: What are the differences?

Dolt: SQL database with Git-like functionality, implements push and pull. It is a relational database, i.e. it has tables, and you can execute SQL queries against those tables. It also has version control primitives that operate at the level of table cell. Thus it is a database that supports fine grained value-wise version control, where all changes to data and schema are stored in commit log; Tibero: Enterprise RDBMS of choice for the virtual data center. 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.

Dolt and Tibero can be categorized as "Databases" tools.

Some of the features offered by Dolt are:

Data format and a database
Provides a command line interface
MySQL compatible Server for reading and writing data

On the other hand, Tibero provides the following key features:

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

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Detailed Comparison

Tibero	Dolt
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.	Dolt is a SQL database with Git-like version control features. Instead of versioning files, Dolt versions tables and provides a SQL query interface over those tables. The underlying storage is a commit graph, and it is exposed in SQL.
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	SQL query interface; Git-like version control; version controlled database
Statistics
Stacks 10	Stacks 6
Followers 17	Followers 17
Votes 11	Votes 0
Pros & Cons
Pros 1 Highly compatible with Oracle 1 High availability (Active-Active clustering) 1 Simple Licensing model 1 Lower TCO 1 High performance transaction processing	No community feedback yet
Integrations
Oracle	MySQL Python Linux Windows Mac OS X

What are some alternatives to Tibero, Dolt?

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.