DBMS > eXtremeDB vs. GreptimeDB vs. Percona Server for MongoDB vs. RocksDB

System Properties Comparison eXtremeDB vs. GreptimeDB vs. Percona Server for MongoDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Natively in-memory DBMS with options for persistency, high-availability and clustering

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

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Relational DBMS
Time Series DBMS

Time Series DBMS

Document store

Key-value store

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

Score	0.80
Rank	#214	Overall
	#99	Relational DBMS
	#18	Time Series DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	0.60
Rank	#246	Overall
	#39	Document stores

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Website

www.mcobject.com

greptime.com

www.percona.com/mongodb/software/percona-server-for-mongodb

rocksdb.org

Technical documentation

www.mcobject.com/docs/extremedb.htm

docs.greptime.com

docs.percona.com/percona-distribution-for-mongodb

github.com/facebook/rocksdb/wiki

Developer

McObject

Greptime Inc.

Percona

Facebook, Inc.

Initial release

2001

2022

2015

2013

Current release

8.2, 2021

3.4.10-2.10, November 2017

9.2.1, May 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

GPL Version 2

Open Source

BSD

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

C and C++

Rust

C++

Server operating systems

AIX
HP-UX
Linux
macOS
Solaris
Windows

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Data scheme

yes

schema-free, schema definition possible

schema-free

Typing

predefined data types such as float or date

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.

support of XML interfaces available

Secondary indexes

yes

SQL

Support of SQL

yes

with the option: eXtremeSQL

yes

APIs and other access methods

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

gRPC
HTTP API
JDBC

proprietary protocol using JSON

C++ API
Java API

Supported programming languages

.Net
C
C#
C++
Java
Lua
Python
Scala

C++
Erlang
Go
Java
JavaScript

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Python

JavaScript

Triggers

yes

by defining events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning / sharding

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Active Replication Fabric™ for IoT
Multi-source replication

by means of eXtremeDB Cluster option
Source-replica replication

by means of eXtremeDB High Availability option

Source-replica replication

yes

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

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

via In-Memory Engine

yes

User concepts

Access control

Simple rights management via user accounts

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenarios

IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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For IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customers

Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

With hundreds of customers and over 30 million devices/applications using the product...
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing models

For server use cases, there is a simple per-server license irrespective of the number...
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GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
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