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DBMS > Dgraph vs. HarperDB vs. PostgreSQL vs. ReductStore

System Properties Comparison Dgraph vs. HarperDB vs. PostgreSQL vs. ReductStore

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHarperDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSUltra-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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelGraph DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitedgraph.iowww.harperdb.iowww.postgresql.orggithub.com/­reductstore
www.reduct.store
Technical documentationdgraph.io/­docsdocs.harperdb.io/­docswww.postgresql.org/­docswww.reduct.store/­docs
DeveloperDgraph Labs, Inc.HarperDBPostgreSQL Global Development Group infowww.postgresql.org/­developerReductStore LLC
Initial release201620171989 info1989: Postgres, 1996: PostgreSQL2023
Current release3.1, August 202116.3, May 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoBSDOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenononono
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Implementation languageGoNode.jsCC++, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infostandard with numerous extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesA table resides as a whole on one (or more) nodes in a clusterpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infothe nodes on which a table resides can be definedSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
DgraphHarperDBPostgreSQLReductStore
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