DBMS > H2 vs. Lovefield vs. Weaviate

System Properties Comparison H2 vs. Lovefield vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Embeddable relational database for web apps written in pure JavaScript

A cloud-native, realtime vector search engine integrating scalable machine learning models

Primary database model

Relational DBMS

Search engine

Secondary database models

Spatial DBMS

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

Score	9.78
Rank	#51	Overall
	#31	Relational DBMS

Score	0.20
Rank	#290	Overall
	#136	Relational DBMS

Score	0.13
Rank	#306	Overall
	#19	Search engines

Website

www.h2database.com

google.github.io/lovefield

github.com/semi-technologies/weaviate
weaviate.io

Technical documentation

www.h2database.com/html/main.html

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

weaviate.io/developers/weaviate/current

Developer

Thomas Mueller

Google

SeMI Technologies B.V.

Initial release

2005

2014

2017

Current release

2.1.210, January 2022

2.1.12, February 2017

1.0.3, January 2021

License

Commercial or Open Source

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

Apache 2.0

Open Source

commercial license available with Weaviate Enterprise

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

Java

JavaScript

Server operating systems

All OS with a Java VM

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

tested with Chrome, Firefox, IE, Safari

Data scheme

yes

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, int, float, geo point, date, cross reference, fuzzy references

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.

Secondary indexes

yes

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

yes

SQL-like query language

via JavaScript builder pattern

GraphQL is used as query language

APIs and other access methods

JDBC
ODBC

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

Java

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

none

yes

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, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

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

fine grained access rights according to SQL-standard

OpenID Connect Discovery

More information provided by the system vendor

Typical application scenarios

As a stand-alone vector search engine, or use one of the many modules (transformers,...
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Key customers

A ll companies that have data.
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Licensing and pricing models

Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
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