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EdgeDB
EdgeDB

1
11
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0
HBase
HBase

193
156
+ 1
12
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EdgeDB vs HBase: What are the differences?

Developers describe EdgeDB as "The Next Generation Object-Relational Database". An object-relational database that stores and describes the data as strongly typed objects and relationships between them. On the other hand, HBase is detailed as "The Hadoop database, a distributed, scalable, big data store". Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

EdgeDB and HBase can be categorized as "Databases" tools.

EdgeDB and HBase are both open source tools. EdgeDB with 3.01K GitHub stars and 64 forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.

What is EdgeDB?

An object-relational database that stores and describes the data as strongly typed objects and relationships between them.

What is HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
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          What are some alternatives to EdgeDB and HBase?
          MySQL
          The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
          PostgreSQL
          PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          Microsoft SQL Server
          Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
          MariaDB
          Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
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          How developers use EdgeDB and HBase
          Avatar of Pinterest
          Pinterest uses HBaseHBase

          The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

          Avatar of Axibase
          Axibase uses HBaseHBase
          • Raw storage engine
          • Replication
          • Fault-tolerance
          Avatar of Mehdi TAZI
          Mehdi TAZI uses HBaseHBase

          Range scan and HDFS Buffering system

          Avatar of anerudhbalaji
          anerudhbalaji uses HBaseHBase

          Primary datastore

          How much does EdgeDB cost?
          How much does HBase cost?
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