KairosDB vs OrientDB

Overview

OrientDB

Stacks77

Followers107

Votes14

KairosDB

Stacks16

Followers44

Votes5

GitHub Stars1.8K

Forks345

KairosDB vs OrientDB: What are the differences?

KairosDB: Fast Time Series Database on Cassandra. KairosDB is a fast distributed scalable time series database written on top of Cassandra; OrientDB: An open source NoSQL database management system. It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.

KairosDB and OrientDB can be primarily classified as "Databases" tools.

KairosDB is an open source tool with 1.46K GitHub stars and 302 GitHub forks. Here's a link to KairosDB's open source repository on GitHub.

Acadar, Bright Power, and GittiGidiyor are some of the popular companies that use OrientDB, whereas KairosDB is used by happn, Waylay, and Energis.cloud. OrientDB has a broader approval, being mentioned in 10 company stacks & 5 developers stacks; compared to KairosDB, which is listed in 3 company stacks and 4 developer stacks.

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Detailed Comparison

OrientDB	KairosDB
It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.	KairosDB is a fast distributed scalable time series database written on top of Cassandra.
Statistics
GitHub Stars -	GitHub Stars 1.8K
GitHub Forks -	GitHub Forks 345
Stacks 77	Stacks 16
Followers 107	Followers 44
Votes 14	Votes 5
Pros & Cons
Pros 4 Great graphdb 2 Open source 2 Great support 1 Highly-available 1 Rest api Cons 4 Unstable	Pros 1 As fast as your cassandra/scylla cluster go 1 Time-Series data analysis 1 Easy setup 1 Easy Rest API 1 Open source

What are some alternatives to OrientDB, KairosDB?

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.