DBMS > Postgres-XL vs. Transbase vs. Typesense vs. Weaviate

System Properties Comparison Postgres-XL vs. Transbase vs. Typesense vs. Weaviate

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

A resource-optimized, high-performance, universally applicable RDBMS

A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity

An AI-native realtime vector database engine that integrates scalable machine learning models.

Primary database model

Relational DBMS

Search engine

Vector DBMS

Secondary database models

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	0.05
Rank	#355	Overall
	#150	Relational DBMS

Score	0.80
Rank	#209	Overall
	#14	Search engines

Score	1.48
Rank	#149	Overall
	#8	Vector DBMS

Website

www.postgres-xl.org

www.transaction.de/en/products/transbase.html

typesense.org

github.com/weaviate/weaviate
weaviate.io

Technical documentation

www.postgres-xl.org/documentation

www.transaction.de/en/products/transbase/features.html

typesense.org/docs

weaviate.io/developers/weaviate

Developer

Transaction Software GmbH

Weaviate B.V.

Initial release

2014

since 2012, originally named StormDB

1987

2015

2019

Current release

10 R1, October 2018

Transbase 8.3, 2022

1.19, May 2023

License

Commercial or Open Source

Open Source

Mozilla public license

commercial

free development license

Open Source

GPL V3

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

C and C++

C++

Server operating systems

Linux
macOS

FreeBSD
Linux
macOS
Solaris
Windows

Linux

Data scheme

yes

schema-free

pre-defined schema optional

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.

yes

XML type, but no XML query functionality

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

distributed, parallel query execution

yes

GraphQL is used as query language

APIs and other access methods

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

ADO.NET
JDBC
ODBC
Proprietary native API

RESTful HTTP API

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

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

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

.Net

community maintained
Clojure

community maintained
Dart

community maintained
Go

community maintained
Java

community maintained
JavaScript
Perl

community maintained
PHP
Python
Ruby
Rust

community maintained
Swift

community maintained

JavaScript / TypeScript
Python

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication using RAFT

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

MVCC

yes

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

fine grained access rights according to SQL-standard

API Keys
OpenID Connect Discovery

More information provided by the system vendor

Specific characteristics

Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more

Competitive advantages

Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more

Typical application scenarios

As a database supporting the development of generative AI and semantic search applications...
» more

Key customers

All companies that have data.
» more

Market metrics

As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more

Licensing and pricing models

Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021, Etienne Dilocker, SeMI Technologies (sponsor)

show all

Recent citations in the news

Serverless Search using Laravel and the Typesense Cloud
22 September 2024, Laravel News

Laravel Scout Adds Typesense, A Lightening-fast Open-source Search
17 January 2024, Laravel News

Building fast, fuzzy site search with Laravel and Typesense
29 July 2024, Laravel News

China win second Challenger round
10 March 2024, Scrum Queens

5 Recipe Search Engines to Cook Based on Time, Budget, & Ingredients - MUO
19 April 2022, MakeUseOf

provided by Google News

Vector database startup Weaviate debuts ‘AI workbench’ and flexible storage tiers
30 July 2024, SiliconANGLE News

Weaviate Achieves Amazon Web Services GenAI Competency Status
8 July 2024, GlobeNewswire

Weaviate Enhances Cloud Console with New Collections and Explorer Tools for AI Developers
31 July 2024, Datanami

StructuredRAG Released by Weaviate: A Comprehensive Benchmark to Evaluate Large Language Models’ Ability to Generate Reliable JSON Outputs for Complex AI Systems
26 August 2024, MarkTechPost

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace
24 January 2024, AWS Blog

provided by Google News

Share this page