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DBMS > FoundationDB vs. Microsoft Access vs. QuestDB vs. VoltDB

System Properties Comparison FoundationDB vs. Microsoft Access vs. QuestDB vs. VoltDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonVoltDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Microsoft 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 high performance open source SQL database for time series dataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.iowww.voltdb.com
Technical documentationapple.github.io/­foundationdbdeveloper.microsoft.com/­en-us/­accessquestdb.io/­docsdocs.voltdb.com
DeveloperFoundationDBMicrosoftQuestDB Technology IncVoltDB Inc.
Initial release2013199220142010
Current release6.2.28, November 20201902 (16.0.11328.20222), March 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java (Zero-GC), C++, RustJava, C++
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Linux
OS X infofor development
Data schemeschema-free infosome layers support schemasyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infobut not compliant to any SQL standardSQL with time-series extensionsyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresin SQL-layer onlyyes infosince Access 2010 using the ACE-enginenoJava
Triggersnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID for single-table writesACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Users and roles with access to stored procedures
More information provided by the system vendor
FoundationDBMicrosoft AccessQuestDBVoltDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
FoundationDBMicrosoft AccessQuestDBVoltDB
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