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DBMS > EJDB vs. FoundationDB vs. Memcached vs. Microsoft Access vs. Pinecone

System Properties Comparison EJDB vs. FoundationDB vs. Memcached vs. Microsoft Access vs. Pinecone

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPinecone  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Ordered key-value store. Core features are complimented by layers.In-memory key-value store, originally intended for cachingMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A managed, cloud-native vector database
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegithub.com/­Softmotions/­ejdbgithub.com/­apple/­foundationdbwww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.pinecone.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdapple.github.io/­foundationdbgithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accessdocs.pinecone.io/­docs/­overview
DeveloperSoftmotionsFoundationDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftPinecone Systems, Inc
Initial release20122013200319922019
Current release6.2.28, November 20201.6.27, May 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoBSD licensecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++CC++
Server operating systemsserver-lessLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idno infosome layers support typingnoyesString, Number, Boolean
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.no
Secondary indexesnononoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes infobut not compliant to any SQL standardno
APIs and other access methodsin-process shared libraryProprietary protocolADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlynoyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblein SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnonoyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003

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More resources
EJDBFoundationDBMemcachedMicrosoft AccessPinecone
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