DBMS > HBase vs. Snowflake
System Properties Comparison HBase vs. Snowflake
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|Editorial information provided by DB-Engines|
|Name||HBase Xexclude from comparison||Snowflake Xexclude from comparison|
|Description||Wide-column store based on Apache Hadoop and on concepts of BigTable||Cloud-based data warehousing service for structured and semi-structured data|
|Primary database model||Wide column store||Relational DBMS|
|Developer||Apache Software Foundation Apache top-level project, originally developed by Powerset||Snowflake Computing Inc.|
|Current release||2.2.0, June 2019|
|License Commercial or Open Source||Open Source Apache version 2||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
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|Server operating systems||Linux|
Windows using Cygwin
|Data scheme||schema-free, schema definition possible||yes support of semi-structured data formats (JSON, XML, Avro)|
|Typing predefined data types such as float or date||options to bring your own types, AVRO||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes|
|SQL Support of SQL||no||yes|
|APIs and other access methods||Java API|
RESTful HTTP API
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes Coprocessors in Java||user defined functions|
|Triggers||yes||no similar concept for controling cloud resources|
|Partitioning methods Methods for storing different data on different nodes||Sharding||yes|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Single row ACID (across millions of columns)||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC||Users with fine-grained authorization concept, user roles and pluggable authentication|
|More information provided by the system vendor|
|Specific characteristics||Apache HBase is the leading NoSQL, distributed database management system, well suited...|
|Competitive advantages||No single point of failure ensures very high availability with multiple customers...|
|Typical application scenarios||Internet of Things (IOT), fraud detection applications, recommendation engines, product...|
|Key customers||Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...|
|Market metrics||#1 largest NoSQL database by revenue|
|Licensing and pricing models||Apache license P ricing for commercial distribution provided by Cloudera and available...|
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