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DBMS > Dgraph vs. Fujitsu Enterprise Postgres vs. HEAVY.AI vs. Lovefield

System Properties Comparison Dgraph vs. Fujitsu Enterprise Postgres vs. HEAVY.AI vs. Lovefield

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitedgraph.iowww.postgresql.fastware.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefield
Technical documentationdgraph.io/­docswww.postgresql.fastware.com/­product-manualsdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHEAVY.AI, Inc.Google
Initial release201620162014
Current releaseFujitsu Enterprise Postgres 14, January 20225.10, January 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++ and CUDAJavaScript
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder pattern
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
Thrift
Vega
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnono
TriggersnoyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and by hashSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
DgraphFujitsu Enterprise PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Lovefield
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 PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Lovefield
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