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DBMS > Amazon DocumentDB vs. Datomic vs. Firebase Realtime Database vs. Solr vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. Datomic vs. Firebase Realtime Database vs. Solr vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSolr  Xexclude from comparisonVelocityDB  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 durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely used distributed, scalable search engine based on Apache LuceneA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeRelational DBMSDocument storeSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­documentdbwww.datomic.comfirebase.google.com/­products/­realtime-databasesolr.apache.orgvelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.comfirebase.google.com/­docs/­databasesolr.apache.org/­resources.htmlvelocitydb.com/­UserGuide
DeveloperCognitectGoogle infoacquired by Google 2014Apache Software FoundationVelocityDB Inc
Initial release20192012201220062011
Current release1.0.6735, June 20239.6.0, April 20247.x
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC#
Server operating systemshostedAll OS with a Java VMhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NET
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnononoSolr Parallel SQL Interfaceno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Java
JavaScript
Objective-C
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresnoyes infoTransaction Functionslimited functionality with using 'rules'Java pluginsno
TriggersnoBy using transaction functionsCallbacks are triggered when data changesyes infoUser configurable commands triggered on index changesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding
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 peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyes
User concepts infoAccess controlAccess rights for users and rolesnoyes, based on authentication and database rulesyesBased on Windows Authentication

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Amazon DocumentDBDatomicFirebase Realtime DatabaseSolrVelocityDB
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