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DBMS > Amazon DocumentDB vs. Datomic vs. Firebolt vs. RocksDB

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Firebolt vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonFirebolt  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websiteaws.amazon.com/­documentdbwww.datomic.comwww.firebolt.iorocksdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comdocs.firebolt.iogithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectFirebolt Analytics Inc.Facebook, Inc.
Initial release2019201220202013
Current release1.0.7180, July 20249.4.0, June 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VMhostedLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API.Net
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Go
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBDatomicFireboltRocksDB
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