DBMS > Amazon Neptune vs. Sqrrl vs. Tkrzw
System Properties Comparison Amazon Neptune vs. Sqrrl vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||Amazon Neptune Xexclude from comparison||Sqrrl 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||Fast, reliable graph database built for the cloud||Adaptable, secure NoSQL built on Apache Accumulo||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||Graph DBMS|
Wide column store
|Developer||Amazon||Amazon originally Sqrrl Data, Inc.||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||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux||Linux|
|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.||no||no|
|SQL Support of SQL||no||no||no|
|APIs and other access methods||OpenCypher|
RDF 1.1 / SPARQL 1.1
RESTful HTTP API
|Supported programming languages||C#|
C using GLib
|Server-side scripts Stored procedures||no||no||no|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding making use of Hadoop||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.||selectable replication factor making use of Hadoop||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in graphs||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Atomic updates per row, document, or graph entity|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes with encyption-at-rest||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes using specific database classes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)||no|
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|Amazon Neptune||Sqrrl||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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