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DBMS > FoundationDB vs. H2 vs. Microsoft Azure Table Storage vs. OrigoDB vs. Sqrrl

System Properties Comparison FoundationDB vs. H2 vs. Microsoft Azure Table Storage vs. OrigoDB vs. Sqrrl

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonSqrrl  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSWide column storeDocument store
Object oriented DBMS
Document store
Graph DBMS
Key-value store
Wide column 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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitegithub.com/­apple/­foundationdbwww.h2database.comazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comsqrrl.com
Technical documentationapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlorigodb.com/­docs
DeveloperFoundationDBThomas MuellerMicrosoftRobert Friberg et alAmazon infooriginally Sqrrl Data, Inc.
Initial release2013200520122009 infounder the name LiveDB2012
Current release6.2.28, November 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC#Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Windows
Linux
Data schemeschema-free infosome layers support schemasyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NET
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresin SQL-layer onlyJava Stored Procedures and User-Defined Functionsnoyesno
Triggersnoyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityin SQL-layer onlyyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesRole based authorizationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
FoundationDBH2Microsoft Azure Table StorageOrigoDBSqrrl
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