Clickhouse vs LinDB | What are the differences? | StackShare

Clickhouse vs LinDB

Overview

Clickhouse

Stacks440

Followers543

Votes85

LinDB

Stacks1

Followers11

Votes0

Clickhouse vs LinDB: What are the differences?

Developers describe Clickhouse as "A column-oriented database management system". It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query. On the other hand, LinDB is detailed as "*An open source Time Series Database *". It is a scalable, distributed, high performance, high availability Time Series Database. It takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. It supports rollup in specific interval automatically after creating the database.

Clickhouse and LinDB can be primarily classified as "Databases" tools.

LinDB is an open source tool with 744 GitHub stars and 80 GitHub forks. Here's a link to LinDB's open source repository on GitHub.

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Detailed Comparison

Clickhouse	LinDB
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.	It is a scalable, distributed, high performance, high availability Time Series Database. It takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. It supports rollup in specific interval automatically after creating the database.
-	Horizontal scalability; Multi-Active IDCs native
Statistics
Stacks 440	Stacks 1
Followers 543	Followers 11
Votes 85	Votes 0
Pros & Cons
Pros 21 Fast, very very fast 11 Good compression ratio 7 Horizontally scalable 6 Utilizes all CPU resources 5 Great CLI Cons 5 Slow insert operations	No community feedback yet
Integrations
No integrations available	Golang

What are some alternatives to Clickhouse, LinDB?

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.