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DBMS > Bangdb vs. Graph Engine vs. GridGain vs. Ingres

System Properties Comparison Bangdb vs. Graph Engine vs. GridGain vs. Ingres

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonIngres  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websitebangdb.comwww.graphengine.iowww.gridgain.comwww.actian.com/­databases/­ingres
Technical documentationdocs.bangdb.comwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingres
DeveloperSachin Sinha, BangDBMicrosoftGridGain Systems, Inc.Actian Corporation
Initial release2012201020071974 infooriginally developed at University Berkely in early 1970s
Current releaseBangDB 2.0, October 2021GridGain 8.5.111.2, May 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++.NET and CJava, C++, .NetC
Server operating systemsLinux.NETLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonoyesno infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C#
C++
Java
Python
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes
Triggersyes, Notifications (with Streaming only)noyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoMVCC
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as welloptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyesno
User concepts infoAccess controlyes (enterprise version only)Security Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
BangdbGraph Engine infoformer name: TrinityGridGainIngres
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