Data LoaderInterface Computers
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Related Products
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About
Data Loader is a simple, yet powerful tool capable of Synchronizing, exporting and importing data between many common database formats. If you wish to convert MS SQL Server, CSV or MS Access to MySQL, this is the best tool to satisfy your specific needs effectively. The latest Data Loader Version supports MySQL, Oracle, MS Access, Excel, FoxPro, DBF, MS SQL Server, CSV and Delimited or Flat Files. You can now easily convert Oracle to MySQL or MS SQL Server using this tool equipped with several unique and advanced features. For example, while transferring, you can filter columns and specify WHERE conditions. Similarly, Data Loader supports full mapping of source columns to target table columns. Other notable features include bulk inserts, built-in scheduler, UPSERT and INSERT, folder polling, command-line interface, etc.
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About
Tobiko is a data transformation platform that ships data faster, more efficiently, and with fewer mistakes, backward compatible with databases. Make a dev environment without rebuilding the entire DAG. Tobiko only changes what's necessary. Don't rebuild everything when you add a column. You already built your change. Tobiko promotes prod instantly without redoing your work. Avoid debugging clunky Jinja and define your models in SQL. Tobiko works at a startup and at an enterprise scale. Tobiko understands the SQL you write and improves developer productivity by finding issues at compile time. Audits and data differences provide validation and make it easy to trust the datasets you produce. Every change is analyzed and is automatically categorized as either breaking or non-breaking. When mistakes happen, seamlessly roll back to the prior version, allowing teams to reduce downtime in production.
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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
IT teams looking for a Data Management platform
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Audience
Data teams requiring a solution to easily transform data at scale and collaborate on data changes
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not 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
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$99 one-time payment
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
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
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationInterface Computers
Founded: 2005
India
www.dbload.com
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Company InformationTobiko
United States
tobikodata.com
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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
Not Supported
Data Migration
Not Supported
Data Replication
Supported
Data Search
Not Supported
Data Security
Supported
Database Conversion
Supported
Mobile Access
Supported
Monitoring
Not Supported
NOSQL
Supported
Performance Analysis
Not Supported
Queries
Not Supported
Relational Interface
Supported
Virtualization
Not Supported
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Integrations
Amazon Redshift
Not Supported
Apache Airflow
Not Supported
Dagster
Not Supported
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
Jinja
Not Supported
Prefect
Not Supported
Python
Not Supported
SQL
Not Supported
Snowflake
Not Supported
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Integrations
Amazon Redshift
Supported
Apache Airflow
Supported
Dagster
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
Jinja
Supported
Prefect
Supported
Python
Supported
SQL
Supported
Snowflake
Supported
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