DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. BigObject vs. CrateDB vs. SwayDB

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. BigObject vs. CrateDB vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

Analytic DBMS for real-time computations and queries

Distributed Date Store based on Lucene

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS
Search engine

Key-value store

Secondary database models

Document store
Time Series DBMS

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

Score	0.52
Rank	#237	Overall
	#113	Relational DBMS

Score	0.05
Rank	#329	Overall
	#148	Relational DBMS

Score	0.97
Rank	#178	Overall
	#86	Relational DBMS
	#13	Search engines

Score	0.02
Rank	#341	Overall
	#52	Key-value stores

Website

www.alibabacloud.com/product/polardb

bigobject.io

crate.io

swaydb.io

Technical documentation

www.alibabacloud.com/help/doc-detail/58764.htm

docs.bigobject.io

crate.io/docs

Developer

Alibaba

BigObject, Inc.

Crate

Simer Plaha

Initial release

2015

2013

2018

License

Commercial or Open Source

commercial

free community edition available

Open Source

GNU Affero GPL V3.0

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

Scala

Server operating systems

hosted

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

All OS with a Java 7 (and higher) VM

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like DML and DDL statements

yes, but no triggers and constraints

APIs and other access methods

JDBC
ODBC

fluentd
ODBC
RESTful HTTP API

ADO.NET

community maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

Supported programming languages

Java
Python

Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
Ruby

community maintained client
Scala

community maintained client

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

Lua

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency
Read Your Own Writes Consistency

for primary key lookups

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

ACID

unique row identifiers can be used for implementing an optimistic concurrency control strategy

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

fine grained access rights according to SQL-standard

rights management via user accounts

More information provided by the system vendor

Specific characteristics

ApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
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CrateDB is an open source distributed SQL database that spreads data and processing...
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Competitive advantages

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CrateDB is typically used in operational analytics applications, particularly those...
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Typical application scenarios

Creating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Key customers

CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more

Market metrics

The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more

Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
» more

CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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

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