DBMS > InterSystems Caché vs. Lovefield vs. SurrealDB vs. XTDB

System Properties Comparison InterSystems Caché vs. Lovefield vs. SurrealDB 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

Embeddable relational database for web apps written in pure JavaScript

A fully ACID transactional, developer-friendly, multi-model DBMS

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

Document store
Graph DBMS

Document store

Secondary database models

Document store

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

Score	0.29
Rank	#293	Overall
	#133	Relational DBMS

Score	0.86
Rank	#203	Overall
	#34	Document stores
	#18	Graph DBMS

Score	0.11
Rank	#343	Overall
	#46	Document stores

Website

www.intersystems.com/products/cache

google.github.io/lovefield

surrealdb.com

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

Technical documentation

docs.intersystems.com

github.com/google/lovefield/blob/master/docs/spec_index.md

surrealdb.com/docs

www.xtdb.com/docs

Developer

InterSystems

Google

SurrealDB Ltd

Juxt Ltd.

Initial release

1997

2014

2022

2019

Current release

2018.1.4, May 2020

2.1.12, February 2017

v1.5.0, May 2024

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

Apache 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

JavaScript

Rust

Clojure

Server operating systems

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

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Linux
macOS
Windows

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

SQL-like query language

via JavaScript builder pattern

SQL-like query language

limited SQL, making use of Apache Calcite

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

GraphQL
RESTful HTTP API
WebSocket

HTTP REST
JDBC

Supported programming languages

C#
C++
Java

JavaScript

Deno
Go
JavaScript (Node.js)
Rust

Clojure
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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

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, by using IndexedDB or the cloud service Firebase Realtime Database

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

using MemoryDB

User concepts

Access control

Access rights for users, groups and roles

yes, based on authentication and database rules

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More resources

Recent citations in the news

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