InterSystems Caché

InterSystems Caché

InterSystems
LevelDB

LevelDB

Google

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

It dramatically cuts the effort, cost, and risk of migrating to/from any of the following database formats: Oracle, MySQL, MariaDB, SQL Server, PostgreSQL, IBM DB2, IBM Informix, InterSystems Caché, Teradata, Visual Foxpro, SQLite, FireBird, InterBase, Microsoft Access, Microsoft Excel, Paradox, Lotus, dBase, CSV/Text and transfer any ODBC DSN data source to them. This software can help you quickly migrate a variety of data, structures and objects, saving you a lot of time and money. It will automatically migrate all table structures, data, schemas(Oracle, SQL Server 2000 or higher, PostgreSQL, IBM DB2 and so), LOBs(Large Text/Binary Objects), primary/foreign keys, indexes, auto-increment(serial), comments and default values and more. You can migrate data between two different character sets(e.g.: UTF8, CP1250 etc.) and the software automatically convert different data encodings. You can also change the field name/data type/nullable/precision/numscale or filter data when migrating.

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

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

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

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

Companies in need of a solution to migrate a variety of data, structures and objects

Audience

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

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

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

No information available.
Free Version
Free Trial

Pricing

$219 per year
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$199.95 per year
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

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

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

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

Company Information

EasyFrom
Founded: 2004
China
www.easyfrom.net

Company Information

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

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Alternatives

InterSystems IRIS

InterSystems IRIS

InterSystems

Alternatives

Scriptcase

Scriptcase

Netmake

Alternatives

Alternatives

Luna Modeler

Luna Modeler

Ideamerit
InterSystems Caché

InterSystems Caché

InterSystems
TablePlus

TablePlus

TablePlus InC
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

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

Azure SQL Database
Data Virtuality
Delphi
Enterprise Recon
FreeBSD
Google Cloud Platform
LedisDB
Oneview Healthcare
OrbitDB
RazorSQL
SQL Server
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight
sqlmap

Integrations

Azure SQL Database
Data Virtuality
Delphi
Enterprise Recon
FreeBSD
Google Cloud Platform
LedisDB
Oneview Healthcare
OrbitDB
RazorSQL
SQL Server
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight
sqlmap

Integrations

Azure SQL Database
Data Virtuality
Delphi
Enterprise Recon
FreeBSD
Google Cloud Platform
LedisDB
Oneview Healthcare
OrbitDB
RazorSQL
SQL Server
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight
sqlmap

Integrations

Azure SQL Database
Data Virtuality
Delphi
Enterprise Recon
FreeBSD
Google Cloud Platform
LedisDB
Oneview Healthcare
OrbitDB
RazorSQL
SQL Server
Semarchy xDI
WEBDEV
WINDEV
XBTS
insight
sqlmap
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