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DBMS > Amazon DocumentDB vs. H2 vs. HBase vs. Milvus

System Properties Comparison Amazon DocumentDB vs. H2 vs. HBase vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonH2  Xexclude from comparisonHBase  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument storeRelational DBMSWide column storeVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.h2database.comhbase.apache.orgmilvus.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlmilvus.io/­docs/­overview.md
DeveloperThomas MuellerApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2019200520082019
Current release2.2.220, July 20232.3.4, January 20212.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJavaJavaC++, Go
Server operating systemshostedAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROVector, 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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based access control and fine grained access rights
More information provided by the system vendor
Amazon DocumentDBH2HBaseMilvus
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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More resources
Amazon DocumentDBH2HBaseMilvus
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