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DBMS > GridGain vs. OpenEdge vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

System Properties Comparison GridGain vs. OpenEdge vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management systemPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#128  Overall
#23  Key-value stores
#63  Relational DBMS
Score5.49
Rank#69  Overall
#38  Relational DBMS
Score1.90
Rank#123  Overall
#9  Graph DBMS
Score0.18
Rank#292  Overall
#27  Graph DBMS
Websitewww.gridgain.comwww.progress.com/­openedgewww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­latestdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tigergraph.com
DeveloperGridGain Systems, Inc.Progress Software CorporationTeradata
Initial release20071984200520172009
Current releaseGridGain 8.5.1OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
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 languageJava, C++, .NetC++Java
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesschema-free
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.yesyesyes infoin Aster File Storenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92yesSQL-like query language (GSQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)C
C#
C++
Java
Python
R
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesR packagesyesno
Triggersyes (cache interceptors and events)yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers and groupsfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
GridGainOpenEdgeTeradata AsterTigerGraphTinkerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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More resources
GridGainOpenEdgeTeradata AsterTigerGraphTinkerGraph
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