PHEMI Central
PHEMI Central is a production-ready big data warehouse with built-in privacy, data sharing, and data governance.
PHEMI Central Alternatives
The best PHEMI Central alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/apache-hive-alternatives
Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
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/microsoft-azure-data-lake-alternatives
Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.
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Visit website
Seamless project management and collaboration for your team.
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/amazon-redshift-alternatives
Learn about Amazon Redshift cloud data warehouse.
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/euro-message-alternatives
euro.message is an email, sms and social marketing solution.
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/greenplum-database-alternatives
Greenplum Database is an open source parallel data warehousing platform.
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/fme-by-safe-alternatives
FME is an integrated collection of Spatial ETL tools for data transformation and data translation.
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/snowflake-alternatives
Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
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/stitch-alternatives
Consolidate your customer and product data in minutes
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/fivetran-alternatives
Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
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/kognitio-alternatives
Kognitio is an in-memory analytical software platform that supports BI, OLAP and analytical applications on large and complex data.
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/apache-tajo-alternatives
Apache Tajo is a robust big data relational and distributed data warehouse system for Apache Hadoop.
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/ibm-netezza-alternatives
Netezza is a powerful platform that changed the world of data warehousing by introducing one of the world’ first data warehouse appliances.
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/micro-focus-securedata-for-hadoop-alternatives
Micro Focus Voltage SecureData Enterprise solutions, provides Big Data security that scales with the growth of Hadoop and Internet of things (IOT) while keeping data usable for analytics.
