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DBMS > Bangdb vs. Datastax Enterprise vs. GBase vs. Linter

System Properties Comparison Bangdb vs. Datastax Enterprise vs. GBase vs. Linter

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGBase  Xexclude from comparisonLinter  Xexclude from comparison
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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.RDBMS for high security requirements
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial 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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitebangdb.comwww.datastax.com/­products/­datastax-enterprisewww.gbase.cnlinter.ru
Technical documentationdocs.bangdb.comdocs.datastax.com
DeveloperSachin Sinha, BangDBDataStaxGeneral Data Technology Co., Ltd.relex.ru
Initial release2012201120041990
Current releaseBangDB 2.0, October 20216.8, April 2020GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC, Java, PythonC and C++
Server operating systemsLinuxLinux
OS X
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statements (CQL); Spark SQLStandard with numerous extensionsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyes, Notifications (with Streaming only)yesyesyes
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"horizontal partitioning (by range, list and hash) and vertical partitioningnone
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 computingyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per objectyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbDatastax EnterpriseGBaseLinter
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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BangdbDatastax EnterpriseGBaseLinter
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