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DBMS > Altibase vs. BoltDB vs. DolphinDB vs. GridDB vs. Teradata

System Properties Comparison Altibase vs. BoltDB vs. DolphinDB vs. GridDB vs. Teradata

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGridDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embedded key-value store for Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Scalable in-memory time series database optimized for IoT and Big DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitealtibase.comgithub.com/­boltdb/­boltwww.dolphindb.comgriddb.netwww.teradata.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.dolphindb.cn/­en/­help200/­index.htmldocs.griddb.netdocs.teradata.com
DeveloperAltibaseDolphinDB, IncToshiba CorporationTeradata
Initial release19992013201820131984
Current releasev7.3, 2023, August 2023v2.00.4, January 20225.1, August 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoMIT Licensecommercial infofree community version availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also 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 languageC++GoC++C++
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linuxhosted
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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 indexesyesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI SQL-92noSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Java
GoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesACID at container levelACID
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.yesnoyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAdministrators, Users, GroupsAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
AltibaseBoltDBDolphinDBGridDBTeradata
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» 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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AltibaseBoltDBDolphinDBGridDBTeradata
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