DBMS > Sqrrl vs. TDSQL for MySQL vs. Tkrzw
System Properties Comparison Sqrrl vs. TDSQL for MySQL vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||Sqrrl Xexclude from comparison||TDSQL for MySQL Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet Xexclude from comparison|
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.|
|Description||Adaptable, secure NoSQL built on Apache Accumulo||A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet|
|Primary database model||Document store|
Wide column store
|Relational DBMS||Key-value store|
|Secondary database models||Document store|
|Developer||Amazon originally Sqrrl Data, Inc.||Tencent||Mikio Hirabayashi|
|Current release||0.9.3, August 2020|
|License Commercial or Open Source||commercial||commercial||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
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|Server operating systems||Linux||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||no|
|SQL Support of SQL||no||yes||no|
|APIs and other access methods||Accumulo Shell|
RESTful HTTP API
|Supported programming languages||Actionscript|
C using GLib
|Server-side scripts Stored procedures||no||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding making use of Hadoop||Automatic sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor making use of Hadoop||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic updates per row, document, or graph entity||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|no||yes using specific database classes|
|User concepts Access control||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)||Users with fine-grained authorization concept||no|
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|Sqrrl||TDSQL for MySQL||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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