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DBMS > Amazon Aurora vs. Amazon Neptune vs. Elasticsearch vs. Firebird vs. OrigoDB

System Properties Comparison Amazon Aurora vs. Amazon Neptune vs. Elasticsearch vs. Firebird vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebird  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, reliable graph database built for the cloudA 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 metricFirebird is an open source RDBMS forked from Borland's InterBaseA fully ACID in-memory object graph database
Primary database modelRelational DBMSGraph DBMS
RDF store
Search engineRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score132.83
Rank#7  Overall
#1  Search engines
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­neptunewww.elastic.co/­elasticsearchwww.firebirdsql.orgorigodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­neptune/­developer-resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.firebirdsql.org/­en/­reference-manualsorigodb.com/­docs
DeveloperAmazonAmazonElasticFirebird FoundationRobert Friberg et al
Initial release2015201720102000 infoAs fork of Borland's InterBase2009 infounder the name LiveDB
Current release8.6, January 20235.0.0, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoInitial Developer's Public LicenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#
Server operating systemshostedhostedAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Windows
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.yesnonono infocan be achieved using .NET
Secondary indexesyesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesnoyesPSQLyes
Triggersyesnoyes infoby using the 'percolation' featureyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptRole based authorization

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More resources
Amazon AuroraAmazon NeptuneElasticsearchFirebirdOrigoDB
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