DBMS > GreptimeDB vs. InfluxDB vs. NCache

System Properties Comparison GreptimeDB vs. InfluxDB vs. NCache

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Editorial information provided by DB-Engines

Name

Description

An open source Time Series DBMS built for increased scalability, high performance and efficiency

DBMS for storing time series, events and metrics

Open-Source and Enterprise in-memory Key-Value Store

Primary database model

Time Series DBMS

Key-value store

Secondary database models

Spatial DBMS

with GEO package

Document store
Search engine

Using distributed Lucene

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

Score	0.15
Rank	#325	Overall
	#29	Time Series DBMS

Score	21.78
Rank	#28	Overall
	#1	Time Series DBMS

Score	0.85
Rank	#203	Overall
	#30	Key-value stores

Website

greptime.com

www.influxdata.com/products/influxdb-overview

www.alachisoft.com/ncache

Technical documentation

docs.greptime.com

docs.influxdata.com/influxdb

www.alachisoft.com/resources/docs

Developer

Greptime Inc.

Alachisoft

Initial release

2022

2013

2005

Current release

2.7.6, April 2024

5.3.3, April 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT-License; commercial enterprise version available

Open Source

Enterprise Edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Rust

C#, .NET, .NET Core, Java

Server operating systems

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux
OS X

through Homebrew

Linux
Windows

Data scheme

schema-free, schema definition possible

schema-free

Typing

predefined data types such as float or date

yes

Numeric data and Strings

partial

Supported data types are Lists, Queues, Hashsets, Dictionary and Counter

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

SQL

Support of SQL

yes

SQL-like query language

SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.

APIs and other access methods

gRPC
HTTP API
JDBC

HTTP API
JSON over UDP

IDistributedCache
JCache
LINQ
Proprietary native API

Supported programming languages

C++
Erlang
Go
Java
JavaScript

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

.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

Python

support for stored procedures with SQL-Server CLR

Triggers

yes

Notifications

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology

Foreign keys

Referential integrity

Transaction concepts

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

optimistic locking and pessimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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

yes

User concepts

Access control

Simple rights management via user accounts

simple rights management via user accounts

Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

More information provided by the system vendor

News

Hack to the Future: InfluxDB 3 Hackathon
5 May 2025

Building Smarter Manufacturing Systems with Bosch Rexroth and InfluxDB
23 April 2025

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

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More resources

DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

InfluxData rolls out InfluxDB 3 to power real-time apps at scale
15 April 2025, Blocks and Files

InfluxData Releases InfluxDB 3 Core and InfluxDB 3 Enterprise
16 April 2025, Database Trends and Applications

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data
15 April 2025, Business Wire

Simplify Industrial IoT: Use InfluxDB edge replication for centralized time series analytics with Amazon Timestream
3 September 2024, Amazon Web Services (AWS)

InfluxDB 3 Core Released In Public Alpha
3 February 2025, i-programmer.info

provided by Google News

How to use NCache in ASP.Net Core
9 July 2024, InfoWorld

provided by Google News

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