+
+

Related Products

  • RaimaDB
    5 Ratings
    Visit Website
  • Ditto
    2 Ratings
    Visit Website
  • Dragonfly
    15 Ratings
    Visit Website
  • Innoslate
    73 Ratings
    Visit Website
  • Windocks
    6 Ratings
    Visit Website
  • TeamDesk
    92 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • SureSync
    13 Ratings
    Visit Website
  • Google Cloud SQL
    536 Ratings
    Visit Website
  • DbVisualizer
    506 Ratings
    Visit Website

About

Manage complex models using ArcadeDB without any compromise. Forget about Polyglot Persistence. no need for multiple databases. You can store graphs, documents, key values and time series all in one ArcadeDB Multi-Model database. Since each model is native to the database engine, you don't have to worry about translations slowing you down. ArcadeDB's engine was built with Alien Technology. It's able to crunch millions of records per second. With ArcadeDB, the traversing speed is not affected by the database size. It is always constant, whether your database has a few records or billions. ArcadeDB can work as an embedded database, on a single server and can scale up using multiple servers with Kubernetes. Flexible enough to run on any platform with a small footprint. Your data is secure. Our unbreakable fully transactional engine assures durability for mission-critical production databases. ArcadeDB uses a Raft Consensus Algorithm to maintain consistency across multiple servers.

About

Voldemort is not a relational database, it does not attempt to satisfy arbitrary relations while satisfying ACID properties. Nor is it an object database that attempts to transparently map object reference graphs. Nor does it introduce a new abstraction such as document-orientation. It is basically just a big, distributed, persistent, fault-tolerant hash table. For applications that can use an O/R mapper like active-record or hibernate this will provide horizontal scalability and much higher availability but at great loss of convenience. For large applications under internet-type scalability pressure, a system may likely consist of a number of functionally partitioned services or APIs, which may manage storage resources across multiple data centers using storage systems which may themselves be horizontally partitioned. For applications in this space, arbitrary in-database joins are already impossible since all the data is not available in any single database.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional developers seeking a tool to manage complex models and store graphs, documents, key values, and time series

Audience

IT teams searching for a distributed key-value storage system

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ArcadeDB
United Kingdom
arcadedb.com

Company Information

Voldemort
www.project-voldemort.com/voldemort/

Alternatives

eXtremeDB

eXtremeDB

McObject

Alternatives

FairCom DB

FairCom DB

FairCom Corporation
Redis

Redis

Redis Labs
RaimaDB

RaimaDB

Raima
QuantaStor

QuantaStor

OSNEXUS
RaimaDB

RaimaDB

Raima

Categories

Categories

Integrations

Docker
G.V() - Gremlin IDE
Java
Kubernetes
MongoDB
Neo4j
OrientDB
PostgreSQL
Redis

Integrations

Docker
G.V() - Gremlin IDE
Java
Kubernetes
MongoDB
Neo4j
OrientDB
PostgreSQL
Redis
Claim ArcadeDB and update features and information
Claim ArcadeDB and update features and information
Claim Voldemort and update features and information
Claim Voldemort and update features and information