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DBMS > DolphinDB vs. Hive vs. Ignite vs. Milvus

System Properties Comparison DolphinDB vs. Hive vs. Ignite vs. Milvus

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languagedata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#169  Overall
#11  Time Series DBMS
Score85.58
Rank#14  Overall
#9  Relational DBMS
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score0.26
Rank#277  Overall
#11  Multivalue DBMS
Websitewww.dolphindb.comhive.apache.orgignite.apache.orgmilvus.io
Technical documentationwww.dolphindb.com/­helpcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsmilvus.io/­docs/­overview.md
DeveloperDolphinDB, IncApache Software Foundation infoinitially developed by FacebookApache Software Foundation
Initial release2018201220152019
Current release3.1.2, August 2019Apache Ignite 2.61.0, March 2021
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++, Java, .NetC++
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and rolesSecurity Hooks for custom implementationsno

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