InterSystems Caché

InterSystems Caché

InterSystems
LevelDB

LevelDB

Google

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

InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to processing a billion equity trades in a day, to managing smart energy grids. Caché is a multi-model (object, relational, key-value) DBMS and application server developed by InterSystems. InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, document, multi-dimensional. Data can be managed via SQL, Java, node.js, .NET, C++, Python. Caché also provides an application server which hosts web apps (CSP), REST, SOAP, web sockets and other types of TCP access for Caché data.

About

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup.

About

Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Companies of all sizes who need applications that must connect disparate data from a range of sources, and process incoming data and perform sophisticated analytics, all in real time, at very high scale, with superior resource efficiency and low total cost of ownership

Audience

Organizations requiring a storage library solution providing ordered mapping from string keys to string values

Audience

Component Library solution for developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

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Reviews/Ratings

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

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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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ArcadeDB
United Kingdom
arcadedb.com

Company Information

InterSystems
Founded: 1978
United States
www.intersystems.com/cache/

Company Information

Google
Founded: 2011
United States
github.com/google/leveldb

Company Information

django-mysql
United Kingdom
pypi.org/project/django-mysql/

Alternatives

Alternatives

InterSystems IRIS

InterSystems IRIS

InterSystems

Alternatives

Alternatives

InterSystems Caché

InterSystems Caché

InterSystems
eXtremeDB

eXtremeDB

McObject
eXtremeDB

eXtremeDB

McObject

Categories

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

Data Virtuality
Docker
Enterprise Recon
G.V() Gremlin IDE
Google Cloud Platform
Kubernetes
LedisDB
MariaDB
MongoDB
MySQL
Neo4j
OrbitDB
OrientDB
PostgreSQL
Redis
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight

Integrations

Data Virtuality
Docker
Enterprise Recon
G.V() Gremlin IDE
Google Cloud Platform
Kubernetes
LedisDB
MariaDB
MongoDB
MySQL
Neo4j
OrbitDB
OrientDB
PostgreSQL
Redis
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight

Integrations

Data Virtuality
Docker
Enterprise Recon
G.V() Gremlin IDE
Google Cloud Platform
Kubernetes
LedisDB
MariaDB
MongoDB
MySQL
Neo4j
OrbitDB
OrientDB
PostgreSQL
Redis
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight

Integrations

Data Virtuality
Docker
Enterprise Recon
G.V() Gremlin IDE
Google Cloud Platform
Kubernetes
LedisDB
MariaDB
MongoDB
MySQL
Neo4j
OrbitDB
OrientDB
PostgreSQL
Redis
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight
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