DBMS > Google BigQuery vs. Kdb vs. Microsoft Azure AI Search vs. TypeDB vs. VelocityDB

System Properties Comparison Google BigQuery vs. Kdb vs. Microsoft Azure AI Search vs. TypeDB vs. VelocityDB

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

High performance Time Series DBMS

Search-as-a-service for web and mobile app development

TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS

Time Series DBMS
Vector DBMS

Search engine

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

Graph DBMS
Object oriented DBMS

Secondary database models

Relational DBMS

Vector DBMS

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

Score	60.38
Rank	#19	Overall
	#13	Relational DBMS

Score	7.55
Rank	#53	Overall
	#3	Time Series DBMS
	#1	Vector DBMS

Score	5.59
Rank	#63	Overall
	#7	Search engines

Score	0.65
Rank	#234	Overall
	#20	Graph DBMS
	#107	Relational DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

cloud.google.com/bigquery

kx.com

azure.microsoft.com/en-us/services/search

typedb.com

velocitydb.com

Technical documentation

cloud.google.com/bigquery/docs

code.kx.com

learn.microsoft.com/en-us/azure/search

typedb.com/docs

velocitydb.com/UserGuide

Developer

Google

Kx Systems, a division of First Derivatives plc

Microsoft

Vaticle

VelocityDB Inc

Initial release

2010

2000

kdb was released 2000, kdb+ in 2003

2015

2016

2011

Current release

3.6, May 2018

2.26.3, January 2024

7.x

License

Commercial or Open Source

commercial

free 32-bit version

commercial

Open Source

GPL Version 3, commercial licenses available

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

Java

Server operating systems

hosted

Linux
OS X
Solaris
Windows

hosted

Linux
OS X
Windows

Any that supports .NET

Data scheme

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

table attribute 'grouped'

yes

SQL

Support of SQL

yes

SQL-like query language (q)

APIs and other access methods

RESTful HTTP/JSON API

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

RESTful HTTP API

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)

.Net

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

C#
Java
JavaScript
Python

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

.Net

Server-side scripts

Stored procedures

user defined functions

in JavaScript

user defined functions

Triggers

yes

with views

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Implicit feature of the cloud service

Sharding

by using Cassandra

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Implicit feature of the cloud service

Multi-source replication

by using Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

yes

by using Apache Kafka and Apache Zookeeper

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

substituted by the relationship feature

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

User concepts

Access control

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

Google Cloud Identity & Access Management (IAM)

rights management via user accounts

yes

using Azure authentication

yes

at REST API level; other APIs in progress

Based on Windows Authentication

More information provided by the system vendor

Specific characteristics

Integrated columnar database & programming system for streaming, real time and historical...
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TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantages

provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Typical application scenarios

tick database streaming sensor data massive intelligence applications oil and gas...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customers

Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metrics

kdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing models

upon request
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Apache f or language drivers, and AGPL and Commercial for the database server. The...
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