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DBMS > Dolt vs. FoundationDB vs. GreptimeDB vs. H2

System Properties Comparison Dolt vs. FoundationDB vs. GreptimeDB vs. H2

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFoundationDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonH2  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaOrdered key-value store. Core features are complimented by layers.An open source Time Series DBMS built for increased scalability, high performance and efficiencyFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­apple/­foundationdbgreptime.comwww.h2database.com
Technical documentationdocs.dolthub.comapple.github.io/­foundationdbdocs.greptime.comwww.h2database.com/­html/­main.html
DeveloperDoltHub IncFoundationDBGreptime Inc.Thomas Mueller
Initial release2018201320222005
Current release6.2.28, November 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++RustJava
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeyesschema-free infosome layers support schemasschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyyesyes
APIs and other access methodsCLI Client
HTTP REST
gRPC
HTTP API
JDBC
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Erlang
Go
Java
JavaScript
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releasein SQL-layer onlyPythonJava Stored Procedures and User-Defined Functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
DoltFoundationDBGreptimeDBH2
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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DoltFoundationDBGreptimeDBH2
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