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DBMS > FoundationDB vs. GreptimeDB vs. Oracle Berkeley DB vs. Teradata

System Properties Comparison FoundationDB vs. GreptimeDB vs. Oracle Berkeley DB vs. Teradata

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTeradata  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyWidely used in-process key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­apple/­foundationdbgreptime.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.teradata.com
Technical documentationapple.github.io/­foundationdbdocs.greptime.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.teradata.com
DeveloperFoundationDBGreptime Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleTeradata
Initial release2013202219941984
Current release6.2.28, November 202018.1.40, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infocommercial license availablecommercial
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++RustC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Linux
Data schemeschema-free infosome layers support schemasschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesnoyes
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.noyes infoonly with the Berkeley DB XML editionyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLsupported in specific SQL layer onlyyesyes infoSQL interfaced based on SQLite is availableyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
HTTP API
JDBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Erlang
Go
Java
JavaScript
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyPythonnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlnoSimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBGreptimeDBOracle Berkeley DBTeradata
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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FoundationDBGreptimeDBOracle Berkeley DBTeradata
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