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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Microsoft SQL Server vs Tibero

Microsoft SQL Server vs Tibero

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
Tibero
Tibero
Stacks10
Followers17
Votes11

Microsoft SQL Server vs Tibero: What are the differences?

1. Licensing and Cost: Microsoft SQL Server requires a paid license for commercial use, while Tibero offers a cost-effective solution with flexible pricing options, including subscription-based models and pay-as-you-go plans. 2. Platform Compatibility: Microsoft SQL Server is primarily designed for Windows operating systems, while Tibero is compatible with various platforms, such as Linux and Windows, providing more flexibility for users. 3. High Availability and Scalability: Microsoft SQL Server offers features like Always On Availability Groups for high availability and scalability, while Tibero provides similar functionalities like advanced clustering and sharding capabilities to ensure robust performance. 4. Security Features: Microsoft SQL Server includes advanced security features like Transparent Data Encryption and Row-Level Security, while Tibero offers similar security measures such as column-level encryption and fine-grained access controls to protect sensitive data. 5. Storage Engines: Microsoft SQL Server uses a proprietary storage engine, while Tibero utilizes a hybrid storage engine that combines the benefits of both row-based and column-based storage, offering optimized performance for various workloads. 6. Case Sensitivity: Microsoft SQL Server is case-insensitive by default, while Tibero is case-sensitive, meaning it distinguishes between uppercase and lowercase characters in database objects and queries.

In Summary, Microsoft SQL Server and Tibero differ in licensing, platform compatibility, high availability features, security measures, storage engines, and case sensitivity.

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Advice on Microsoft SQL Server, Tibero

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

  1. I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
668k views668k
Comments
Daniel
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.

496k views496k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
Tibero
Tibero

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

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.

-
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
Stacks
21.3K
Stacks
10
Followers
15.5K
Followers
17
Votes
540
Votes
11
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    The maximum number of connections is only 14000 connect
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
Pros
  • 1
    Lower TCO
  • 1
    High performance transaction processing
  • 1
    Active or passive standby DB capability
  • 1
    Hyper-thread architecture
  • 1
    High security database encryption
Integrations
No integrations available
Oracle
Oracle

What are some alternatives to Microsoft SQL Server, Tibero?

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.

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.

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.

ArangoDB

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.

InfluxDB

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.

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