DBMS > ArangoDB vs. HarperDB vs. TempoIQ

System Properties Comparison ArangoDB vs. HarperDB vs. TempoIQ

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Document store

Time Series DBMS

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

Score	2.96
Rank	#89	Overall
	#15	Document stores
	#5	Graph DBMS
	#13	Key-value stores
	#10	Search engines

Score	0.54
Rank	#241	Overall
	#38	Document stores

Website

arangodb.com

www.harperdb.io

tempoiq.com (offline)

Technical documentation

docs.arangodb.com

docs.harperdb.io/docs

Developer

ArangoDB Inc.

HarperDB

TempoIQ

Initial release

2012

2017

2012

Current release

3.11.5, November 2023

3.1, August 2021

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

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

C++

Node.js

Server operating systems

Linux
OS X
Windows

Linux
OS X

Data scheme

schema-free

automatically recognizes schema within a collection

dynamic schema

schema-free

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

JSON data types

yes

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

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

HTTP API

Supported programming languages

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

.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

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

JavaScript

Custom Functions

since release 3.1

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

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

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

yes

the nodes on which a table resides can be defined

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

Atomic execution of specific operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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

yes

Access rights for users and roles

simple authentication-based access control

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More resources

DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

Recent citations in the news

Graph Database Market Size is Projected to Reach USD 14.53
22 August 2024, GlobeNewswire

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

ArangoDB Unveils ArangoGraph Insights Platform
4 October 2022, Datanami

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

Multimodel database company ArangoDB lands $10M in funding
14 March 2019, SiliconANGLE News

provided by Google News

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

Defense Innovation Unit Issues Success Memo to HarperDB for its Common Operation Database Prototype
11 September 2024, PR Newswire

DoD Successfully Deploys Commercial AI Solutions for COD Project
10 September 2024, Defense Innovation Unit

HarperDB Welcomes Former Couchbase CEO, Bob Wiederhold, as Executive Chairman
28 August 2024, StreetInsider.com

HarperDB Receives Growth Investment from Serent Capital
12 June 2024, FinSMEs

provided by Google News

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