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DBMS > Bangdb vs. GigaSpaces vs. IBM Db2 Event Store

System Properties Comparison Bangdb vs. GigaSpaces vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Event Store
Time Series DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitebangdb.comwww.gigaspaces.comwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.bangdb.comdocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperSachin Sinha, BangDBGigaspaces TechnologiesIBM
Initial release201220002017
Current releaseBangDB 2.0, October 202115.5, September 20202.0
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, C++, .NetC and C++
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLSQL like support with command line toolSQL-99 for query and DML statementsyes infothrough the embedded Spark runtime
APIs and other access methodsProprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnoyesyes
Triggersyes, Notifications (with Streaming only)yes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesNo - written data is immutable
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
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
User concepts infoAccess controlyes (enterprise version only)Role-based access controlfine grained access rights according to SQL-standard

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More resources
BangdbGigaSpacesIBM Db2 Event Store
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