DBMS > Hyprcubd vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. YugabyteDB

System Properties Comparison Hyprcubd vs. InfluxDB vs. Microsoft Azure Cosmos DB vs. YugabyteDB

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Editorial information provided by DB-Engines

Name

Description

Serverless Time Series DBMS

DBMS for storing time series, events and metrics

Globally distributed, horizontally scalable, multi-model database service

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Time Series DBMS

Document store
Graph DBMS
Key-value store
Wide column store

Relational DBMS

Secondary database models

Spatial DBMS

with GEO package

Spatial DBMS

Document store
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.00
Rank	#347	Overall
	#31	Time Series DBMS

Score	26.55
Rank	#28	Overall
	#1	Time Series DBMS

Score	33.52
Rank	#25	Overall
	#3	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	0.92
Rank	#179	Overall
	#90	Relational DBMS

Website

hyprcubd.com

www.influxdata.com/products/influxdb-overview

azure.microsoft.com/services/cosmos-db

www.yugabyte.com

Technical documentation

docs.influxdata.com/influxdb

docs.microsoft.com/azure/cosmos-db

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

Hyprcubd, Inc.

Microsoft

Yugabyte Inc.

Initial release

2013

2014

2017

Current release

2.0.2, November 2020

2.4, January 2021

License

Commercial or Open Source

commercial

Open Source

MIT-License; commercial enterprise version available

commercial

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Server operating systems

hosted

Linux
OS X

through Homebrew

hosted

Linux
OS X

Data scheme

yes

schema-free

depending on used data model

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

Numeric data and Strings

yes

JSON types

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

SQL-like query language

yes, PostgreSQL compatible

APIs and other access methods

gRPC (https)

HTTP API
JSON over UDP

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

JavaScript

yes

sql, plpgsql, C

Triggers

JavaScript

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

Sharding

Implicit feature of the cloud service

Hash and Range Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

yes

Implicit feature of the cloud service

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Integration with Hadoop/HDInsight on Azure*

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency

Consistency level configurable on request level
Session Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Multi-item ACID transactions with snapshot isolation within a partition

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

based on RocksDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Depending on used storage engine

User concepts

Access control

token access

simple rights management via user accounts

Access rights can be defined down to the item level

yes

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

Competitive advantages

Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
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Typical application scenarios

IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more

Key customers

InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more

Market metrics

Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
» more

News

Release Announcement: InfluxDB OSS and InfluxDB Enterprise 1.8.5
20 April 2021

InfluxDB’s Checks and Notifications System
19 April 2021

How to Parse Your XML Data with Telegraf
14 April 2021

TL;DR InfluxDB Tech Tips: Configuring a Slack Notification with InfluxDB
13 April 2021

How to Control Crowds with Python, OpenCV and InfluxDB
9 April 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.