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DBMS > EDB Postgres vs. Elasticsearch vs. eXtremeDB vs. HugeGraph vs. Milvus

System Properties Comparison EDB Postgres vs. Elasticsearch vs. eXtremeDB vs. HugeGraph vs. Milvus

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonElasticsearch  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A 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 metricNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSSearch engineRelational DBMS
Time Series DBMS
Graph DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitewww.enterprisedb.comwww.elastic.co/­elasticsearchwww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
milvus.io
Technical documentationwww.enterprisedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docsmilvus.io/­docs/­overview.md
DeveloperEnterpriseDBElasticMcObjectBaidu
Initial release20052010200120182019
Current release14, December 20218.6, January 20238.2, 20210.92.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageCJavaC and C++JavaC++, Go
Server operating systemsLinux
Windows
All OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesVector, 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.yes infospecific XML-type available, but no XML query functionality.nono infosupport of XML interfaces availablenono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query languageyes infowith the option: eXtremeSQLnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyesasynchronous Gremlin script jobsno
Triggersyesyes infoby using the 'percolation' featureyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardinghorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsRole based access control and fine grained access rights
More information provided by the system vendor
EDB PostgresElasticsearcheXtremeDBHugeGraphMilvus
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Milvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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More resources
EDB PostgresElasticsearcheXtremeDBHugeGraphMilvus
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