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DBMS > Elasticsearch vs. HarperDB vs. Milvus vs. TimesTen vs. YDB

System Properties Comparison Elasticsearch vs. HarperDB vs. Milvus vs. TimesTen vs. YDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHarperDB  Xexclude from comparisonMilvus  Xexclude from comparisonTimesTen  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricUltra-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 searchesIn-Memory RDBMS compatible to OracleA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelSearch engineDocument storeVector DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.60
Rank#244  Overall
#38  Document stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.harperdb.iomilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.harperdb.io/­docsmilvus.io/­docs/­overview.mddocs.oracle.com/­database/­timesten-18.1ydb.tech/­en/­docs
DeveloperElasticHarperDBOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yandex
Initial release20102017201919982019
Current release8.6, January 20233.1, August 20212.3.4, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0; commercial license available
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 languageJavaNode.jsC++, Go
Server operating systemsAll OS with a Java VMLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentdynamic schemayesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infoJSON data typesVector, Numeric and Stringyesyes
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.nonononono
Secondary indexesyes infoAll search fields are automatically indexedyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like data manipulation statementsnoyesSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.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++
Java
PL/SQL
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1noPL/SQLno
Triggersyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyesno
User concepts infoAccess controlAccess rights for users and rolesRole based access control and fine grained access rightsfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
ElasticsearchHarperDBMilvusTimesTenYDB
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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ElasticsearchHarperDBMilvusTimesTenYDB
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