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DBMS > Amazon DocumentDB vs. Interbase vs. LMDB vs. Memgraph vs. Typesense

System Properties Comparison Amazon DocumentDB vs. Interbase vs. LMDB vs. Memgraph vs. Typesense

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInterbase  Xexclude from comparisonLMDB  Xexclude from comparisonMemgraph  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLight-weight proven RDBMS infooriginally from BorlandA high performant, light-weight, embedded key-value database libraryAn open source graph database built for real-time streaming and compatible with Neo4jA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument storeRelational DBMSKey-value storeGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websiteaws.amazon.com/­documentdbwww.embarcadero.com/­products/­interbasewww.symas.com/­symas-embedded-database-lmdbmemgraph.comtypesense.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.embarcadero.com/­products/­interbasewww.lmdb.tech/­docmemgraph.com/­docstypesense.org/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperEmbarcaderoSymasMemgraph Ltd
Initial release20191984201120172015
Current releaseInterBase 2020, December 20190.9.32, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC and C++C++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
Unix
Windows
LinuxLinux
Data schemeschema-freeyesschema-freeschema-free and schema-optionalschema-free infopre-defined schema optional
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.nono infoexport as XML data possiblenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInterbase Change ViewsnoneMulti-source replication using RAFTMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoUsers, roles and permissions
More information provided by the system vendor
Amazon DocumentDBInterbaseLMDBMemgraphTypesense
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon DocumentDBInterbaseLMDBMemgraphTypesense
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