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DBMS > Amazon DynamoDB vs. Firebird vs. MongoDB vs. Oracle Berkeley DB vs. Stardog

System Properties Comparison Amazon DynamoDB vs. Firebird vs. MongoDB vs. Oracle Berkeley DB vs. Stardog

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFirebird  Xexclude from comparisonMongoDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFirebird is an open source RDBMS forked from Borland's InterBaseOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used in-process key-value storeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­dynamodbwww.firebirdsql.orgwww.mongodb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.stardog.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.firebirdsql.org/­en/­reference-manualswww.mongodb.com/­docs/­manualdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.stardog.com
DeveloperAmazonFirebird FoundationMongoDB, IncOracle infooriginally developed by Sleepycat, which was acquired by OracleStardog-Union
Initial release20122000 infoAs fork of Borland's InterBase200919942010
Current release5.0.0, January 20246.0.7, June 202318.1.40, May 20207.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoInitial Developer's Public LicenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infocommercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes
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.yes infoonly with the Berkeley DB XML editionno infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL interfaced based on SQLite is availableYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLJavaScriptnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoby integration with AWS Lambdayesyes infoin MongoDB Atlas onlyyes infoonly for the SQL APIyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possiblenoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptAccess rights for users and rolesnoAccess rights for users and roles
More information provided by the system vendor
Amazon DynamoDBFirebirdMongoDBOracle Berkeley DBStardog
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Amazon DynamoDBFirebirdMongoDBOracle Berkeley DBStardog
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