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DBMS > Dgraph vs. Fujitsu Enterprise Postgres vs. HarperDB vs. Hazelcast

System Properties Comparison Dgraph vs. Fujitsu Enterprise Postgres vs. HarperDB vs. Hazelcast

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Ultra-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 widely adopted in-memory data grid
Primary database modelGraph DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitedgraph.iowww.postgresql.fastware.comwww.harperdb.iohazelcast.com
Technical documentationdgraph.io/­docswww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docshazelcast.org/­imdg/­docs
DeveloperDgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBHazelcast
Initial release201620172008
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, August 20215.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCNode.jsJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
All OS with a Java VM
Data schemeschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes 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 infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsCustom Functions infosince release 3.1yes infoEvent Listeners, Executor Services
Triggersnoyesnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationyes infothe nodes on which a table resides can be definedyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access control
More information provided by the system vendor
DgraphFujitsu Enterprise PostgresHarperDBHazelcast
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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DgraphFujitsu Enterprise PostgresHarperDBHazelcast
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