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DBMS > Bangdb vs. IBM Db2 warehouse vs. SingleStore vs. SQL.JS

System Properties Comparison Bangdb vs. IBM Db2 warehouse vs. SingleStore vs. SQL.JS

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-based data warehousing serviceMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typePort of SQLite to JavaScript
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitebangdb.comwww.ibm.com/­products/­db2/­warehousewww.singlestore.comsql.js.org
Technical documentationdocs.bangdb.comdocs.singlestore.comsql.js.org/­documentation/­index.html
DeveloperSachin Sinha, BangDBIBMSingleStore Inc.Alon Zakai infoenhancements implemented by others
Initial release2012201420132012
Current releaseBangDB 2.0, October 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC, C++C++, GoJavaScript
Server operating systemsLinuxhostedLinux info64 bit version requiredserver-less, requires a JavaScript environment (browser, Node.js)
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.nono infoImport/export of XML data possiblenono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyes infobut no triggers and foreign keysyes infoSQL-92 is not fully supported
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JavaScript API
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesno
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.no infoexcept by serializing a db to a file
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 modeyesyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardFine grained access control via users, groups and rolesno
More information provided by the system vendor
BangdbIBM Db2 warehouse infoformerly named IBM dashDBSingleStore infoformer name was MemSQLSQL.JS
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbIBM Db2 warehouse infoformerly named IBM dashDBSingleStore infoformer name was MemSQLSQL.JS
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