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DBMS > Apache Drill vs. Microsoft Access vs. MongoDB vs. Neo4j vs. PostgreSQL

System Properties Comparison Apache Drill vs. Microsoft Access vs. MongoDB vs. Neo4j vs. PostgreSQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitedrill.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.comneo4j.comwww.postgresql.org
Technical documentationdrill.apache.org/­docsdeveloper.microsoft.com/­en-us/­accesswww.mongodb.com/­docs/­manualneo4j.com/­docswww.postgresql.org/­docs
DeveloperApache Software FoundationMicrosoftMongoDB, IncNeo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20121992200920071989 info1989: Postgres, 1996: PostgreSQL
Current release1.20.3, January 20231902 (16.0.11328.20222), March 20196.0.7, June 20235.20, May 202416.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version3, commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
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Implementation languageC++C++Java, ScalaC
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Atlas SQL Interfacenoyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes infosince Access 2010 using the ACE-engineJavaScriptyes infoUser defined Procedures and Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas onlyyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yes using Neo4j Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infobut no files for transaction loggingyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlDepending on the underlying data sourceno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DrillMicrosoft AccessMongoDBNeo4jPostgreSQL
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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