DBMS > InterSystems Caché vs. Sadas Engine vs. VictoriaMetrics vs. XTDB

System Properties Comparison InterSystems Caché vs. Sadas Engine vs. VictoriaMetrics vs. XTDB

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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

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

A fast, cost-effective and scalable Time Series DBMS and monitoring solution

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Time Series DBMS

Document store

Secondary database models

Document store

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

Score	0.00
Rank	#385	Overall
	#159	Relational DBMS

Score	1.23
Rank	#165	Overall
	#15	Time Series DBMS

Score	0.13
Rank	#330	Overall
	#45	Document stores

Website

www.intersystems.com/products/cache

www.sadasengine.com

victoriametrics.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.intersystems.com

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

docs.victoriametrics.com
github.com/VictoriaMetrics/VictoriaMetrics/wiki

www.xtdb.com/docs

Developer

InterSystems

SADAS s.r.l.

VictoriaMetrics

Juxt Ltd.

Initial release

1997

2006

2018

2019

Current release

2018.1.4, May 2020

8.0

v1.91, May 2023

1.19, September 2021

License

Commercial or Open Source

commercial

free trial version available

Open Source

Apache Version 2.0

Open Source

MIT License

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++

Clojure

Server operating systems

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

AIX
Linux
Windows

FreeBSD
Linux
macOS
OpenBSD

All OS with a Java 8 (and higher) VM
Linux

Data scheme

depending on used data model

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

limited SQL, making use of Apache Calcite

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

JDBC
ODBC
Proprietary protocol

Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write

HTTP REST
JDBC

Supported programming languages

C#
C++
Java

.Net
C
C#
C++
Groovy
Java
PHP
Python

Clojure
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Synchronous replication

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

managed by 'Learn by Usage'

User concepts

Access control

Access rights for users, groups and roles

Access rights for users, groups and roles according to SQL-standard

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