DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. BigObject vs. JaguarDB vs. TimescaleDB

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. BigObject vs. JaguarDB vs. TimescaleDB

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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

Performant, highly scalable DBMS for AI and IoT applications

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Key-value store

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.63
Rank	#210	Overall
	#104	Relational DBMS

Score	0.08
Rank	#303	Overall
	#133	Relational DBMS

Score	0.05
Rank	#313	Overall
	#49	Key-value stores

Score	2.93
Rank	#102	Overall
	#6	Time Series DBMS

Website

www.alibabacloud.com/product/polardb

bigobject.io

www.datajaguar.com

www.timescale.com

Technical documentation

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

docs.bigobject.io

www.datajaguar.com/support.php

docs.timescale.com

Developer

Alibaba

BigObject, Inc.

DataJaguar, Inc.

Timescale

Initial release

2015

2017

Current release

2.9.4 September 2018

License

Commercial or Open Source

commercial

free community edition available

Open Source

GPL V3.0

Open Source

Apache 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

C++

the server part. Clients available in other languages

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)

Linux

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

full PostgreSQL SQL syntax

APIs and other access methods

JDBC
ODBC

fluentd
ODBC
RESTful HTTP API

JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

Java
Python

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C
C++
Delphi
Java

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

Lua

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Sharding

yes, across time and space (hash partitioning) attributes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

Multi-source replication

Source-replica replication with hot standby and reads on replicas

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

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

ApsaraDB for PolarDB is a cloud-native relational database compatible with MySQL...
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SQL support, group by, order by, join
» more

Timescale is the creator of TimescaleDB , the first open-source relational database...
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Competitive advantages

Webinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. PolarDB:...
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Extremely easy to scale-out (in seconds) 100,000 times faster
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TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
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Typical application scenarios

Creating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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IoT data, time series data, AI data. Any type of numerical data.
» more

DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
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Key customers

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more

TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
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Market metrics

Advertising awareness, installed base, brand image, market share
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With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
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Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
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Free-trial license, per-node license, and subscription license.
» more

TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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