DBMS > Machbase Neo vs. PieCloudDB vs. Warp 10

System Properties Comparison Machbase Neo vs. PieCloudDB vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

TimeSeries DBMS for AIoT and BigData

A cloud-native analytic database platform with new technologoy for elastic MPP

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

Primary database model

Time Series DBMS

Relational DBMS

Time Series DBMS

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

Score	0.09
Rank	#342	Overall
	#31	Time Series DBMS

Score	0.28
Rank	#290	Overall
	#131	Relational DBMS

Score	0.06
Rank	#355	Overall
	#35	Time Series DBMS

Website

machbase.com

www.openpie.com

www.warp10.io

Technical documentation

machbase.com/dbms

www.warp10.io/content/02_Getting_started

Developer

Machbase

OpenPie

SenX

Initial release

2013

2015

Current release

V8.0, August 2023

2.1, January 2023

License

Commercial or Open Source

commercial

free test version available

commercial

Open Source

Apache License 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

Java

Server operating systems

Linux
macOS
Windows

hosted

Linux
OS X
Windows

Data scheme

yes

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

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

CLI Client
JDBC
ODBC

HTTP API
Jupyter
WebSocket

Supported programming languages

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Java
PL/SQL
Python
R

Server-side scripts

Stored procedures

user defined functions

yes

WarpScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

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

ACID

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

volatile and lookup table

yes

User concepts

Access control

simple password-based access control

User Roles and pluggable authentication with full SQL Standard

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources

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