CompareDataZidsoft
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ThreadDBTextile
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Related Products
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About
Compare and synchronize sql data visually.
CompareData allows you to visually compare and synchronize data between sql databases.
Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization.
• Compare data of table, query or group of tables.
• Synchronize table data at row, table or group level.
• Compare table metadata including columns, primary key, indices, foreign keys, triggers, permission and check constraints.
• Compare stored procedures, functions and sequences,
• Cross-dbms support with ODBC.
• Compare resultsets of any size.
• Native 64-bit application.
• Multi-threaded, multi-core support.
• Free for comparing data and metadata.
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About
ThreadDB is a multi-party database built on IPFS and Libp2p that provides an alternative architecture for data on the web. ThreadDB aims to help power a new generation of web technologies by combining a novel use of event sourcing, Interplanetary Linked Data (IPLD), and access control to provide a distributed, scalable, and flexible database solution for decentralized applications. There are two implementations of ThreadDB, the first is written in Go. The second implementation is written in JavaScript (Typescript, really). This implementation has some optimizations to make it more ideal when writing web applications. The JavaScript implementation is currently a Client of the Go implementation. You can run it against your own go-threads instance or connect it to the Textile Hub to use one of ours. In general, when building apps that use threads in a remote context, like the browser, it's best to push the networking later to remote services whenever possible.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Database developers
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Audience
Any user searching for a multi-party database built on IPFS and Libp2p for their decentralized applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$495 single user license
Site and Enterprise licenses available.
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationZidsoft
Founded: 2004
United States
zidsoft.com
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Company InformationTextile
Founded: 2016
United States
docs.textile.io/threads/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Database Features
Backup and Recovery
Not Supported
Creation / Development
Supported
Data Migration
Supported
Data Replication
Supported
Data Search
Not Supported
Data Security
Not Supported
Database Conversion
Supported
Mobile Access
Not Supported
Monitoring
Not Supported
NOSQL
Not Supported
Performance Analysis
Not Supported
Queries
Supported
Relational Interface
Not Supported
Virtualization
Not Supported
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Integrations
AWS Marketplace
Supported
Amazon Aurora
Supported
Amazon Redshift
Supported
Firebird
Supported
Google Cloud BigQuery
Supported
Google Cloud SQL
Supported
IBM Db2
Supported
IBM Informix
Supported
MariaDB
Supported
Microsoft Access
Supported
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Integrations
AWS Marketplace
Not Supported
Amazon Aurora
Not Supported
Amazon Redshift
Not Supported
Firebird
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud SQL
Not Supported
IBM Db2
Not Supported
IBM Informix
Not Supported
MariaDB
Not Supported
Microsoft Access
Not Supported
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