DBMS > Google BigQuery vs. Kingbase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

System Properties Comparison Google BigQuery vs. Kingbase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

A high performant, light-weight, embedded key-value database library

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Low-cost RDBMS with access to ISAM and FoxPro data structures

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	48.61
Rank	#23	Overall
	#15	Relational DBMS

Score	0.37
Rank	#260	Overall
	#121	Relational DBMS

Score	2.44
Rank	#117	Overall
	#22	Key-value stores

Score	20.66
Rank	#36	Overall
	#22	Relational DBMS

Score	3.68
Rank	#91	Overall
	#47	Relational DBMS

Website

cloud.google.com/bigquery

www.kingbase.com.cn

www.symas.com/symas-embedded-database-lmdb

azure.microsoft.com/services/synapse-analytics

www.sap.com/products/advantage-database-server.html

Technical documentation

cloud.google.com/bigquery/docs

bbs.kingbase.com.cn/chess_wenku-index.html

docs.microsoft.com/azure/synapse-analytics

Developer

Google

BeiJing KINGBASE Information technologies inc.

Symas

Microsoft

Sybase, SAP

Initial release

2010

1999

2011

2016

1993

Current release

V8.0, August 2021

0.9.29, March 2021

License

Commercial or Open Source

commercial

Open Source

commercial

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 and Java

C++

Server operating systems

hosted

Linux
Windows

hosted

Linux
Windows

Data scheme

yes

schema-free

yes

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

Standard with numerous extensions

yes

APIs and other access methods

RESTful HTTP/JSON API

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

ADO.NET
JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

C#
Java
PHP

Delphi
Perl
PHP

Server-side scripts

Stored procedures

user defined functions

in JavaScript

user defined functions

Transact SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Transaction concepts

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

Since BigQuery is designed for querying 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

caching of (temporary) tables can be configured

User concepts

Access control

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

fine grained access rights according to SQL-standard

yes

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

An enterprise-class RDBMS compatible with PostgreSQL and Oracle. It has the following...
» more

Competitive advantages

Complete database management platform with Integrated Development Environment Tool,...
» more

Typical application scenarios

New applications for transactional and mixed workloads that need to integrate with...
» more

Key customers

The main customers are: China National Petroleum Corporation China Petrochemical...
» more

Market metrics

At present, the main market is in China, but expansion to the international market...
» more

Licensing and pricing models

Business license. Various sales modes: for example, sales by set, sales by CPU quantity,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.