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DBMS > Bangdb vs. Datastax Enterprise vs. IBM Db2 Event Store vs. SAP Advantage Database Server vs. Teradata Aster

System Properties Comparison Bangdb vs. Datastax Enterprise vs. IBM Db2 Event Store vs. SAP Advantage Database Server vs. Teradata Aster

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonTeradata Aster  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Distributed Event Store optimized for Internet of Things use casesLow-cost RDBMS with access to ISAM and FoxPro data structuresPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
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
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitebangdb.comwww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storewww.sap.com/products/advantage-database-server.html
Technical documentationdocs.bangdb.comdocs.datastax.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperSachin Sinha, BangDBDataStaxIBMSybase, SAPTeradata
Initial release20122011201719932005
Current releaseBangDB 2.0, October 20216.8, April 20202.0
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree developer edition availablecommercialcommercial
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageC, C++JavaC and C++
Server operating systemsLinuxLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.nonononoyes infoin Aster File Store
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Delphi
Perl
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyesyesR packages
Triggersyes, Notifications (with Streaming only)yesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infono "single point of failure"ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)configurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesNo - written data is immutableyesyes
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 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 modeyesyesno infocaching of (temporary) tables can be configuredno
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbDatastax EnterpriseIBM Db2 Event StoreSAP Advantage Database Server infoformer name: Sybase ADSTeradata Aster
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
BangdbDatastax EnterpriseIBM Db2 Event StoreSAP Advantage Database Server infoformer name: Sybase ADSTeradata Aster
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