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DBMS > EDB Postgres vs. Elasticsearch vs. Fauna vs. Milvus vs. Oracle Berkeley DB

System Properties Comparison EDB Postgres vs. Elasticsearch vs. Fauna vs. Milvus vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonElasticsearch  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMilvus  Xexclude from comparisonOracle Berkeley DB  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 metricFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A DBMS designed for efficient storage of vector data and vector similarity searchesWidely used in-process key-value store
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Vector DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.enterprisedb.comwww.elastic.co/­elasticsearchfauna.commilvus.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.enterprisedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.fauna.commilvus.io/­docs/­overview.mddocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperEnterpriseDBElasticFauna, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20052010201420191994
Current release14, December 20218.6, January 20232.3.4, January 202418.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 languageCJavaScalaC++, GoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
Windows
All OS with a Java VMhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, Numeric and Stringno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query languagenonoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful 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
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesuser defined functionsnono
Triggersyesyes infoby using the 'percolation' featurenonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardinghorizontal partitioning infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
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 ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 integrationnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardIdentity management, authentication, and access controlRole based access control and fine grained access rightsno
More information provided by the system vendor
EDB PostgresElasticsearchFauna infopreviously named FaunaDBMilvusOracle Berkeley DB
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...
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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
EDB PostgresElasticsearchFauna infopreviously named FaunaDBMilvusOracle Berkeley DB
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