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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Greenplum Database vs TiDB

Greenplum Database vs TiDB

OverviewComparisonAlternatives

Overview

TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K
Greenplum Database
Greenplum Database
Stacks45
Followers111
Votes0
GitHub Stars6.2K
Forks1.7K

Greenplum Database vs TiDB: What are the differences?

Introduction:

Key Differences between Greenplum Database and TiDB:

  1. Architecture: Greenplum Database follows a shared-nothing architecture where data is distributed across multiple nodes, while TiDB utilizes a distributed NewSQL architecture with a horizontally scalable processing layer and a replicated storage layer.
  2. Storage Model: Greenplum uses a row-based storage model, storing data in row format for better query performance, while TiDB uses a Google Spanner-inspired architecture with a columnar storage model for improved analytical processing.
  3. Consistency: Greenplum Database offers strong consistency for transactions, maintaining ACID properties, whereas TiDB uses a distributed transaction protocol based on the Google Percolator algorithm to achieve linearizability and strong consistency across distributed nodes.
  4. Scaling: Greenplum Database scaling requires manual configuration of nodes and resources to handle increasing data volumes, while TiDB features automatic sharding and scaling capabilities, enabling seamless scalability as data grows.
  5. Use Cases: Greenplum Database is ideal for data warehousing and analytical processing with complex SQL queries and OLAP workloads, while TiDB is designed for online transaction processing (OLTP) workloads requiring real-time data processing and high availability.
  6. Ecosystem Integration: Greenplum Database integrates well with Hadoop ecosystem tools for big data processing, whereas TiDB offers compatibility with MySQL protocol and syntax, enabling easy migration from legacy MySQL databases.

In Summary, the key differences between Greenplum Database and TiDB lie in their architectural designs, storage models, consistency models, scaling capabilities, use cases, and ecosystem integrations.

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Detailed Comparison

TiDB
TiDB
Greenplum Database
Greenplum Database

Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

It is a massively parallel processing (MPP) database server with an architecture specially designed to manage large-scale analytic data warehouses and business intelligence workloads. It is based on PostgreSQL open-source technology.

Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
Core SQL Conformance; MPP Architecture; Innovative Query Optimization; Polymorphic Data Storage; Integrated In-Database Analytics
Statistics
GitHub Stars
39.3K
GitHub Stars
6.2K
GitHub Forks
6.0K
GitHub Forks
1.7K
Stacks
76
Stacks
45
Followers
177
Followers
111
Votes
28
Votes
0
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Enterprise Support
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL
Kong
Kong
Slick
Slick
Heroku
Heroku
Apache Hive
Apache Hive
Clever Cloud
Clever Cloud
Couchbase
Couchbase
Sequelize
Sequelize
Sails.js
Sails.js
Metabase
Metabase

What are some alternatives to TiDB, Greenplum Database?

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.

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.

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