DBMS > InterSystems Caché vs. Postgres-XL vs. Transwarp Hippo vs. VelocityDB vs. Vitess

System Properties Comparison InterSystems Caché vs. Postgres-XL vs. Transwarp Hippo vs. VelocityDB vs. Vitess

Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

A multi-model DBMS and application server

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

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

Scalable, distributed, cloud-native DBMS, extending MySQL

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Vector DBMS

Graph DBMS
Object oriented DBMS

Relational DBMS

Secondary database models

Document store

Document store
Spatial DBMS

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

Score	0.43
Rank	#260	Overall
	#119	Relational DBMS

Score	0.00
Rank	#385	Overall
	#16	Vector DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS
	#21	Object oriented DBMS

Score	0.86
Rank	#202	Overall
	#95	Relational DBMS

Website

www.intersystems.com/products/cache

www.postgres-xl.org

www.transwarp.cn/en/subproduct/hippo

velocitydb.com

vitess.io

Technical documentation

docs.intersystems.com

www.postgres-xl.org/documentation

velocitydb.com/UserGuide

vitess.io/docs

Developer

InterSystems

VelocityDB Inc

The Linux Foundation, PlanetScale

Initial release

1997

2014

since 2012, originally named StormDB

2023

2011

2013

Current release

2018.1.4, May 2020

10 R1, October 2018

1.0, May 2023

7.x

15.0.2, December 2022

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

commercial

Open Source

Apache Version 2.0, commercial licenses available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

Linux
macOS

Any that supports .NET

Docker
Linux
macOS

Data scheme

depending on used data model

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

yes

with proprietary extensions

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

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

RESTful HTTP API

.Net

ADO.NET
JDBC
MySQL protocol
ODBC

Supported programming languages

C#
C++
Java

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C++
Java
Python

.Net

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

user defined functions

yes

proprietary syntax

Triggers

yes

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication
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

Eventual Consistency across shards
Immediate Consistency within a shard

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

MVCC

ACID

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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 rights for users, groups and roles

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

Based on Windows Authentication

Users with fine-grained authorization concept

no user groups or roles

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