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DBMS > FoundationDB vs. Google Cloud Datastore vs. H2 vs. HyperSQL vs. LMDB

System Properties Comparison FoundationDB vs. Google Cloud Datastore vs. H2 vs. HyperSQL vs. LMDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLMDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA high performant, light-weight, embedded key-value database library
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitegithub.com/­apple/­foundationdbcloud.google.com/­datastorewww.h2database.comhsqldb.orgwww.symas.com/­symas-embedded-database-lmdb
Technical documentationapple.github.io/­foundationdbcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlwww.lmdb.tech/­doc
DeveloperFoundationDBGoogleThomas MuellerSymas
Initial release20132008200520012011
Current release6.2.28, November 20202.2.220, July 20232.7.2, June 20230.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licenseOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Unix
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyes, details hereyesyes
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.nononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (GQL)yesyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaAll languages supporting JDBC/ODBC
Java
.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
Server-side scripts infoStored proceduresin SQL-layer onlyusing Google App EngineJava Stored Procedures and User-Defined FunctionsJava, SQLno
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
FoundationDBGoogle Cloud DatastoreH2HyperSQL infoalso known as HSQLDBLMDB
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