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DBMS > Bangdb vs. IBM Cloudant vs. Microsoft Access vs. Vertica

System Properties Comparison Bangdb vs. IBM Cloudant vs. Microsoft Access vs. Vertica

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDatabase as a Service offering based on Apache CouchDBMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series 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
Score2.68
Rank#106  Overall
#20  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitebangdb.comwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­microsoft-365/­accesswww.vertica.com
Technical documentationdocs.bangdb.comcloud.ibm.com/­docs/­Cloudantdeveloper.microsoft.com/­en-us/­accessvertica.com/­documentation
DeveloperSachin Sinha, BangDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2012201019922005
Current releaseBangDB 2.0, October 20211902 (16.0.11328.20222), March 201912.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infoBundled with Microsoft Officecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC++C++
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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, geospatialyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL like support with command line toolnoyes infobut not compliant to any SQL standardFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyes infosince Access 2010 using the ACE-engineyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes, Notifications (with Streaming only)yesyes infosince Access 2010 using the ACE-engineyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
noneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infobut no files for transaction loggingyes
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BangdbIBM CloudantMicrosoft AccessVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
BangdbIBM CloudantMicrosoft AccessVertica infoOpenText™ Vertica™
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