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DBMS > Dgraph vs. EsgynDB vs. JanusGraph vs. Microsoft Access vs. Transwarp Hippo

System Properties Comparison Dgraph vs. EsgynDB vs. JanusGraph vs. Microsoft Access vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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.)Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#157  Overall
#15  Graph DBMS
Score0.15
Rank#325  Overall
#145  Relational DBMS
Score1.78
Rank#131  Overall
#12  Graph DBMS
Score91.31
Rank#12  Overall
#8  Relational DBMS
Score0.00
Rank#386  Overall
#18  Vector DBMS
Websitedgraph.iowww.esgyn.cnjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdgraph.io/­docsdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperDgraph Labs, Inc.EsgynLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release20162015201719922023
Current release1.0.0, October 20231902 (16.0.11328.20222), March 20191.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJavaC++C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesVector, Numeric and String
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetClojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes infosince Access 2010 using the ACE-engineno
Triggersnonoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003Role based access control and fine grained access rights

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More resources
DgraphEsgynDBJanusGraph infosuccessor of TitanMicrosoft AccessTranswarp Hippo
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