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DBMS > Amazon DocumentDB vs. Firebird vs. Manticore Search vs. Postgres-XL

System Properties Comparison Amazon DocumentDB vs. Firebird vs. Manticore Search vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebird  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFirebird is an open source RDBMS forked from Borland's InterBaseMulti-storage database for search, including full-text search.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.firebirdsql.orgmanticoresearch.comwww.postgres-xl.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.firebirdsql.org/­en/­reference-manualsmanual.manticoresearch.comwww.postgres-xl.org/­documentation
DeveloperFirebird FoundationManticore Software
Initial release20192000 infoAs fork of Borland's InterBase20172014 infosince 2012, originally named StormDB
Current release5.0.1, August 20246.0, February 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoPSQLuser defined functionsuser defined functions
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBFirebirdManticore SearchPostgres-XL
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