DBMS > Amazon DocumentDB vs. Netezza vs. SiriDB vs. XTDB
System Properties Comparison Amazon DocumentDB vs. Netezza vs. SiriDB vs. XTDB
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|Editorial information provided by DB-Engines|
|Name||Amazon DocumentDB Xexclude from comparison||Netezza Also called PureData System for Analytics by IBM Xexclude from comparison||SiriDB Xexclude from comparison||XTDB formerly named Crux Xexclude from comparison|
|Description||Fast, scalable, highly available, and fully managed MongoDB-compatible database service||Data warehouse and analytics appliance part of IBM PureSystems||Open Source Time Series DBMS||A general purpose database with bitemporal SQL and Datalog and graph queries|
|Primary database model||Document store||Relational DBMS||Time Series DBMS||Document store|
|Current release||1.19, September 2021|
|License Commercial or Open Source||commercial||commercial||Open Source MIT License||Open Source MIT License|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
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|Server operating systems||hosted||Linux included in appliance||Linux||All OS with a Java 8 (and higher) VM|
|Typing predefined data types such as float or date||yes||yes||yes Numeric data||yes, extensible-data-notation format|
|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||no|
|SQL Support of SQL||no||yes||no||limited SQL, making use of Apache Calcite|
|APIs and other access methods||proprietary protocol using JSON (MongoDB compatible)||JDBC|
|HTTP API||HTTP REST|
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||yes||no||no|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas||Source-replica replication||yes||yes, each node contains all data|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-document operations||ACID||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users and roles||Users with fine-grained authorization concept||simple rights management via user accounts|
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|Amazon DocumentDB||Netezza Also called PureData System for Analytics by IBM||SiriDB||XTDB formerly named Crux|
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