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DBMS > Amazon DocumentDB vs. DuckDB vs. Hazelcast vs. Rockset

System Properties Comparison Amazon DocumentDB vs. DuckDB vs. Hazelcast vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeRelational DBMSKey-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­documentdbduckdb.orghazelcast.comrockset.com
Technical documentationaws.amazon.com/­documentdb/­resourcesduckdb.org/­docshazelcast.org/­imdg/­docsdocs.rockset.com
DeveloperHazelcastRockset
Initial release2019201820082019
Current release0.10, February 20245.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedserver-lessAll OS with a Java VMhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infothe object must implement a serialization strategyno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesno
Triggersnonoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnoRole-based access controlAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon DocumentDBDuckDBHazelcastRockset
Recent citations in the news

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
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Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
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