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DBMS > Bangdb vs. Brytlyt vs. GridGain vs. Oracle Rdb vs. SwayDB

System Properties Comparison Bangdb vs. Brytlyt vs. GridGain vs. Oracle Rdb vs. SwayDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBrytlyt  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#347  Overall
#48  Document stores
#36  Graph DBMS
#31  Time Series DBMS
Score0.25
Rank#294  Overall
#133  Relational DBMS
Score1.42
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.02
Rank#180  Overall
#82  Relational DBMS
Score0.00
Rank#385  Overall
#60  Key-value stores
Websitebangdb.combrytlyt.iowww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlswaydb.simer.au
Technical documentationdocs.bangdb.comdocs.brytlyt.iowww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperSachin Sinha, BangDBBrytlytGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Simer Plaha
Initial release20122016200719842018
Current releaseBangDB 2.0, October 20215.0, August 2023GridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial, open sourcecommercialOpen Source infoGNU Affero GPL V3.0
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 languageC, C++C, C++ and CUDAJava, C++, .Net, Python, REST, SQLScala
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
HP Open VMS
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesno
SQL infoSupport of SQLSQL like support with command line toolyesANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes (compute grid and cache interceptors can be used instead)no
Triggersyes, Notifications (with Streaming only)yesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes, on a single nodeAtomic execution of operations
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 modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
no

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More resources
BangdbBrytlytGridGainOracle RdbSwayDB
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