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DBMS > Bangdb vs. GridGain vs. openGauss vs. TimesTen

System Properties Comparison Bangdb vs. GridGain vs. openGauss vs. TimesTen

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridGain  Xexclude from comparisonopenGauss  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphGridGain is an in-memory computing platform, built on Apache IgniteAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebangdb.comwww.gridgain.comgitee.com/­opengauss
opengauss.org
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bangdb.comwww.gridgain.com/­docs/­index.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­database/­timesten-18.1
DeveloperSachin Sinha, BangDBGridGain Systems, Inc.Huawei and openGauss communityOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012200720191998
Current releaseBangDB 2.0, October 2021GridGain 8.5.13.0, March 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, C++, .NetC, C++, Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
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.noyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLANSI SQL 2011yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesPL/SQL
Triggersyes, Notifications (with Streaming only)yes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardinghorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoby means of logfiles and checkpoints
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 modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)Security Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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BangdbGridGainopenGaussTimesTen
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