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DBMS > Badger vs. GridDB vs. ObjectBox vs. Speedb vs. Teradata

System Properties Comparison Badger vs. GridDB vs. ObjectBox vs. Speedb vs. Teradata

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSpeedb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable in-memory time series database optimized for IoT and Big DataExtremely fast embedded database for small devices, IoT and MobileAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeTime Series DBMSObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergriddb.netobjectbox.iowww.speedb.iowww.teradata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.griddb.netdocs.objectbox.iodocs.teradata.com
DeveloperDGraph LabsToshiba CorporationObjectBox LimitedSpeedbTeradata
Initial release20172013201720201984
Current release5.1, August 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache License 2.0Open Source infoApache Version 2.0; commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAndroid
iOS
Linux
macOS
Windows
Linux
Windows
hosted
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
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.nonononoyes
Secondary indexesnoyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationonline/offline synchronization between client and serveryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerGridDBObjectBoxSpeedbTeradata
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source - Speedb OSS is released under an Apache license and can be found on...
» more
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