DBMS > Harper vs. SvectorDB

System Properties Comparison Harper vs. SvectorDB

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Editorial information provided by DB-Engines

Name

Description

Harper fuses database, cache, messaging, and application functions into a single process, delivering web performance, simplicity, and resilience unmatched by multi-technology stacks.

Serverless cloud-native vector database

Primary database model

Document store

Vector DBMS

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

Score	0.56
Rank	#240	Overall
	#39	Document stores

Score	0.00
Rank	#385	Overall
	#21	Vector DBMS

Website

www.harpersystems.dev

svectordb.com

Technical documentation

docs.harperdb.io/docs

www.svectordb.com/docs

Developer

HarperDB

SvectorDB

Initial release

2017

2023

Current release

3.1, August 2021

License

Commercial or Open Source

commercial

free community edition available

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Node.js

Server operating systems

Linux
OS X

server-less

Data scheme

dynamic schema

Typing

predefined data types such as float or date

yes

JSON data types

string, double, vector

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

SQL

Support of SQL

SQL-like data manipulation statements

APIs and other access methods

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK

Supported programming languages

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

Server-side scripts

Stored procedures

Custom Functions

since release 3.1

Triggers

Partitioning methods

Methods for storing different data on different nodes

A table resides as a whole on one (or more) nodes in a cluster

Replication methods

Methods for redundantly storing data on multiple nodes

yes

the nodes on which a table resides can be defined

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

Transaction concepts

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

Atomic execution of specific operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes, using LMDB

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 and roles

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More resources

Recent citations in the news

HarperDB Proclaims New Era for Web Performance with Corporate Rebrand
4 March 2025, PR Newswire

HarperDB Attracts Significant Growth Investment from Serent Capital
12 June 2024, Business Wire

HarperDB Welcomes Former Couchbase CEO, Bob Wiederhold, as Executive Chairman
28 August 2024, PR Newswire

HarperDB Connected Golf Carts Devices
16 November 2023, Verizon

Stephen Goldberg Named 2023 Bill Daniels Ethical Leader of the Year
9 January 2023, CU Denver Business School Newsroom

provided by Google News

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