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DBMS > Bangdb vs. Ehcache vs. GridGain vs. TimesTen

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonGridGain  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsGridGain is an in-memory computing platform, built on Apache IgniteAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitebangdb.comwww.ehcache.orgwww.gridgain.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bangdb.comwww.ehcache.org/­documentationwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGGridGain Systems, Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012200920071998
Current releaseBangDB 2.0, October 20213.10.0, March 2022GridGain 8.5.1Release 22.1
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availablecommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava, C++, .Net, Python, REST, SQL
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
z/OS
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeschema-freeyesyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
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
JCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Java
Python
JavaC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)PL/SQL
Triggersyes, Notifications (with Streaming only)yes infoCache Event Listenersyes (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 algorithmSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoby using Terracotta Serveryes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approachyesyes 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 modeyesyesyes
User concepts infoAccess controlyes (enterprise version only)noRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard

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BangdbEhcacheGridGainTimesTen
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