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DBMS > Amazon DocumentDB vs. Elasticsearch vs. EventStoreDB vs. Firebase Realtime Database vs. Trafodion

System Properties Comparison Amazon DocumentDB vs. Elasticsearch vs. EventStoreDB vs. Firebase Realtime Database vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricIndustrial-strength, open-source database solution built from the ground up for event sourcing.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Transactional SQL-on-Hadoop DBMS
Primary database modelDocument storeSearch engineEvent StoreDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.10
Rank#179  Overall
#1  Event Stores
Score14.29
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­documentdbwww.elastic.co/­elasticsearchwww.eventstore.comfirebase.google.com/­products/­realtime-databasetrafodion.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldevelopers.eventstore.comfirebase.google.com/­docs/­databasetrafodion.apache.org/­documentation.html
DeveloperElasticEvent Store LimitedGoogle infoacquired by Google 2014Apache Software Foundation, originally developed by HP
Initial release20192010201220122014
Current release8.6, January 202321.2, February 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java
Server operating systemshostedAll OS with a Java VMLinux
Windows
hostedLinux
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'Java Stored Procedures
Triggersnoyes infoby using the 'percolation' featureCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBElasticsearchEventStoreDBFirebase Realtime DatabaseTrafodion
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