Showing 2 open source projects for "java sql server to sqlite data migration"

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  • Intelligent predictive dialer for outbound call center Icon
    Intelligent predictive dialer for outbound call center

    Solution for lead generation, Political Campaigning, Telemarketing and Phone Polling

    Our autodialer software can massively increase productivity by dropping busy, unanswered and disconnected line, passing calls answered by real people back to your agents, and leaving messages on answering machines.
    Learn More
  • The Industry Leading Platform for eCommerce Enablement and Analytics Icon
    The Industry Leading Platform for eCommerce Enablement and Analytics

    With MikMak Insights, brands gain real-time eCommerce analytics on the channels, campaigns, creative, and audiences that drive conversions.

    MikMak’s Where to Buy Shoppable Solutions help multichannel brands drive sales, grow market share, and increase profitability while reducing costs across categories such as CPG, Grocery, Alcohol, Beauty, Personal Care, Pet Care, Home Care, Consumer Electronics, Home Appliances, Toys, and more.
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  • 1
    IoTDB

    IoTDB

    Apache IoTDB

    Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there...
    Downloads: 10 This Week
    Last Update:
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  • 2
    Poli

    Poli

    An easy-to-use BI server built for SQL lovers. Power data analysis

    An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights. Platform independent web application. Single JAR file + Single SQLite DB file. Get up and running in 5 minutes. PostgreSQL, Oracle, SQL Server, MySQL, Elasticsearch... You name it. No ETLs, no generated SQL, polish your own SQL query to transform data.
    Downloads: 0 This Week
    Last Update:
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