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DBMS > Bangdb vs. IBM Db2 Event Store vs. Immudb vs. OushuDB

System Properties Comparison Bangdb vs. IBM Db2 Event Store vs. Immudb vs. OushuDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonImmudb  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed Event Store optimized for Internet of Things use casesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Event Store
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitebangdb.comwww.ibm.com/­products/­db2-event-storegithub.com/­codenotary/­immudb
immudb.io
www.oushu.com/­product/­oushuDB
Technical documentationdocs.bangdb.comwww.ibm.com/­docs/­en/­db2-event-storedocs.immudb.iowww.oushu.com/­documentation
DeveloperSachin Sinha, BangDBIBMCodenotaryOushu
Initial release201220172020
Current releaseBangDB 2.0, October 20212.01.2.3, April 20224.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree developer edition availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and C++Go
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeschema-freeyesschema-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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolyes infothrough the embedded Spark runtimeSQL-like syntaxFull-featured ANSI SQL support
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Server-side scripts infoStored proceduresnoyesnoyes
Triggersyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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 modeyesno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardKerberos, SSL and role based access

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More resources
BangdbIBM Db2 Event StoreImmudbOushuDB
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