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DBMS > BoltDB vs. DolphinDB vs. HarperDB vs. Milvus vs. Teradata

System Properties Comparison BoltDB vs. DolphinDB vs. HarperDB vs. Milvus vs. Teradata

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn 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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A DBMS designed for efficient storage of vector data and vector similarity searchesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeTime Series DBMSDocument storeVector DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.dolphindb.comwww.harperdb.iomilvus.iowww.teradata.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.mddocs.teradata.com
DeveloperDolphinDB, IncHarperDBTeradata
Initial release20132018201720191984
Current releasev2.00.4, January 20223.1, August 20212.3.4, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community version availablecommercial infofree community edition availableOpen Source infoApache Version 2.0commercial
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoC++Node.jsC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Linux
Data schemeschema-freeyesdynamic schemayes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesVector, Numeric and Stringyes
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 SQLnoSQL-like query languageSQL-like data manipulation statementsnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesCustom Functions infosince release 3.1noyes infoUDFs, stored procedures, table functions in parallel
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlnoAdministrators, Users, GroupsAccess rights for users and rolesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBDolphinDBHarperDBMilvusTeradata
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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BoltDBDolphinDBHarperDBMilvusTeradata
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