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DBMS > BigObject vs. EventStoreDB vs. HarperDB vs. Milvus

System Properties Comparison BigObject vs. EventStoreDB vs. HarperDB vs. Milvus

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIndustrial-strength, open-source database solution built from the ground up for event sourcing.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 searches
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedEvent StoreDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.55
Rank#248  Overall
#38  Document stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitebigobject.iowww.eventstore.comwww.harperdb.iomilvus.io
Technical documentationdocs.bigobject.iodevelopers.eventstore.comdocs.harperdb.io/­docsmilvus.io/­docs/­overview.md
DeveloperBigObject, Inc.Event Store LimitedHarperDB
Initial release2015201220172019
Current release21.2, February 20213.1, August 20212.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageNode.jsC++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesdynamic schema
Typing infopredefined data types such as float or dateyesyes infoJSON data typesVector, Numeric and String
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like data manipulation statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languages.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
Server-side scripts infoStored proceduresLuaCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights for users and rolesRole based access control and fine grained access rights
More information provided by the system vendor
BigObjectEventStoreDBHarperDBMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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...
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