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DBMS > GridGain vs. HugeGraph vs. Teradata vs. TerminusDB vs. VelocityDB

System Properties Comparison GridGain vs. HugeGraph vs. Teradata vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.teradata.comterminusdb.comvelocitydb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.teradata.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperGridGain Systems, Inc.BaiduTeradataDataChemist Ltd.VelocityDB Inc
Initial release20072018198420182011
Current releaseGridGain 8.5.10.9Teradata Vantage 1.0 MU2, January 201911.0.0, January 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaProlog, RustC#
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Unix
hosted
Linux
LinuxAny that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyesnono
Secondary indexesyesyes infoalso supports composite index and range indexyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infoSQL 2016 + extensionsSQL-like query language (WOQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsyes infoUDFs, stored procedures, table functions in parallelyesno
Triggersyes (cache interceptors and events)noyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoHashingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)via hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
GridGainHugeGraphTeradataTerminusDB infoformer name was DataChemistVelocityDB
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