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DBMS > Bangdb vs. EXASOL vs. IBM Db2 Event Store vs. TerminusDB

System Properties Comparison Bangdb vs. EXASOL vs. IBM Db2 Event Store vs. TerminusDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEXASOL  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed Event Store optimized for Internet of Things use casesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSEvent Store
Time Series DBMS
Graph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebangdb.comwww.exasol.comwww.ibm.com/­products/­db2-event-storeterminusdb.com
Technical documentationdocs.bangdb.comwww.exasol.com/­resourceswww.ibm.com/­docs/­en/­db2-event-storeterminusdb.github.io/­terminusdb/­#
DeveloperSachin Sinha, BangDBExasolIBMDataChemist Ltd.
Initial release2012200020172018
Current releaseBangDB 2.0, October 20212.011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree developer edition availableOpen Source infoGPL V3
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++Prolog, Rust
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLSQL like support with command line toolyesyes infothrough the embedded Spark runtimeSQL-like query language (WOQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Python
Java
Lua
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyesyes
Triggersyes, Notifications (with Streaming only)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Active-active shard replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesNo - written data is immutableyes
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 storageyes infoin-memory journaling
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)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardRole-based access control

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More resources
BangdbEXASOLIBM Db2 Event StoreTerminusDB infoformer name was DataChemist
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