DBMS > Brytlyt vs. Snowflake vs. TerarkDB
System Properties Comparison Brytlyt vs. Snowflake vs. TerarkDB
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|Editorial information provided by DB-Engines|
|Name||Brytlyt Xexclude from comparison||Snowflake Xexclude from comparison||TerarkDB Xexclude from comparison|
|Description||Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL||Cloud-based data warehousing service for structured and semi-structured data||A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB|
|Primary database model||Relational DBMS||Relational DBMS||Key-value store|
|Developer||Brytlyt||Snowflake Computing Inc.||Terark|
|Current release||0.9, October 2016|
|License Commercial or Open Source||commercial||commercial||commercial restricted open source version available|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Implementation language||C, C++ and CUDA||C++|
|Server operating systems||Linux|
|Data scheme||yes||yes support of semi-structured data formats (JSON, XML, Avro)||schema-free|
|Typing predefined data types such as float or date||yes||yes||no|
|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.||yes specific XML-type available, but no XML query functionality.||yes||no|
|SQL Support of SQL||yes||yes||no|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions in PL/pgSQL||user defined functions||no|
|Triggers||yes||no similar concept for controling cloud resources||no|
|Partitioning methods Methods for storing different data on different nodes||yes||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||yes||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept, user roles and pluggable authentication||no|
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
CData: Connect to Big Data & NoSQL through standard Drivers.
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