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DBMS > Bangdb vs. GridGain vs. Kinetica vs. Transbase vs. VelocityDB

System Properties Comparison Bangdb vs. GridGain vs. Kinetica vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  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 IgniteFully vectorized database across both GPUs and CPUsA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitebangdb.comwww.gridgain.comwww.kinetica.comwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationdocs.bangdb.comwww.gridgain.com/­docs/­index.htmldocs.kinetica.comwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperSachin Sinha, BangDBGridGain Systems, Inc.KineticaTransaction Software GmbHVelocityDB Inc
Initial release20122007201219872011
Current releaseBangDB 2.0, October 2021GridGain 8.5.17.1, August 2021Transbase 8.3, 20227.x
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialcommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, C++, .NetC, C++C and C++C#
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.noyesnonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes
SQL infoSupport of SQLSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsyesno
Triggersyes, Notifications (with Streaming only)yes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modeyesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlyes (enterprise version only)Security Hooks for custom implementationsAccess rights for users and roles on table levelfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
BangdbGridGainKineticaTransbaseVelocityDB
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