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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Clickhouse vs HarperDB

Clickhouse vs HarperDB

OverviewComparisonAlternatives

Overview

Clickhouse
Clickhouse
Stacks431
Followers543
Votes85
HarperDB
HarperDB
Stacks6
Followers18
Votes9

Clickhouse vs HarperDB: 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, HarperDB is detailed as "IoT Database that runs from the edge to the cloud". HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

Clickhouse and HarperDB belong to "Databases" category of the tech stack.

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Detailed Comparison

Clickhouse
Clickhouse
HarperDB
HarperDB

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.

Harper takes the "stack" out of "tech stack" by combining data storage, caching, application, and messaging functions into a single technology to achieve unmatched global low latency, simplicity, and cost performance at scale.

-
Cloud; Edge Computing; On Prem; Globally Distributed; Custom Functions; Database-as-a-service; Hybrid Cloud; Clustering and Replication; Fully-Indexed; Dynamic Schema; Small Footprint; SQL Query Engine; Full NoSQL Capabilities; Configurable Table-Level Pub/Sub; Built In API with Single End Point; Role Based Security; User Friendly Management Studio; Industry Standard Interfaces & Drivers;
Statistics
Stacks
431
Stacks
6
Followers
543
Followers
18
Votes
85
Votes
9
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
Pros
  • 2
    Data api
  • 1
    Custom Functions
  • 1
    Edge capabilities
  • 1
    Integration
  • 1
    Cost efficient
Integrations
No integrations available
Node.js
Node.js
GraphQL
GraphQL
Docker
Docker
.NET
.NET
Kubernetes
Kubernetes
Amazon S3
Amazon S3
React.js Boilerplate
React.js Boilerplate
uWebSockets
uWebSockets
Python
Python
Rust
Rust

What are some alternatives to Clickhouse, HarperDB?

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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