DBMS > EventStoreDB vs. Transwarp StellarDB vs. Warp 10

System Properties Comparison EventStoreDB vs. Transwarp StellarDB vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

A distributed graph DBMS built for enterprise-level graph applications

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Event Store

Graph DBMS

Time Series DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Score	0.14
Rank	#344	Overall
	#32	Time Series DBMS

Website

www.eventstore.com

www.transwarp.cn/en/product/stellardb

www.warp10.io

Technical documentation

developers.eventstore.com

www.warp10.io/content/02_Getting_started

Developer

Event Store Limited

Transwarp

SenX

Initial release

2012

2015

Current release

21.2, February 2021

License

Commercial or Open Source

Open Source

commercial

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
Windows

Linux
OS X
Windows

Data scheme

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.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

OpenCypher

HTTP API
Jupyter
WebSocket

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

Transaction concepts

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

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

User concepts

Access control

yes

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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Time Series Databases Software market latest trends, CAGR, and forecast till 2026 | eSherpa Market Reports
13 April 2020, openPR

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