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DBMS > Bangdb vs. IBM Db2 warehouse vs. SingleStore

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

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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 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 type
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#322  Overall
#43  Document stores
#33  Graph DBMS
#30  Time Series DBMS
Score1.91
Rank#123  Overall
#60  Relational DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websitebangdb.comwww.ibm.com/­products/­db2-warehousewww.singlestore.com
Technical documentationbangdb.com/­developerdocs.singlestore.com
DeveloperSachin Sinha, BangDBIBMSingleStore Inc.
Initial release201220142013
Current releaseBangDB 2.0, October 20217.6, November 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: 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++, Go
Server operating systemsLinuxhostedLinux info64 bit version required
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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 possibleno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyes infobut no triggers and foreign keys
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
ODBC
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyes
Triggersyes, Notifications (with Streaming only)yesno
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 partitioning
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 nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.
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)fine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
BangdbIBM Db2 warehouse infoformerly named IBM dashDBSingleStore infoformer name was MemSQL
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more
F ree Tier and Enterprise Edition
» more

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More resources
BangdbIBM Db2 warehouse infoformerly named IBM dashDBSingleStore infoformer name was MemSQL
Conferences and events

Turbocharge Your Open-Source DB to Drive 100x Faster Performance
Webinar, 10am PT, 18 January 2022 (finished)

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