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DBMS > Bangdb vs. IRONdb vs. Kdb+ vs. Microsoft Azure Synapse Analytics

System Properties Comparison Bangdb vs. IRONdb vs. Kdb+ vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIRONdb  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#313  Overall
#44  Document stores
#30  Graph DBMS
#25  Time Series DBMS
Score0.12
Rank#349  Overall
#34  Time Series DBMS
Score7.68
Rank#58  Overall
#2  Time Series DBMS
Score23.10
Rank#34  Overall
#20  Relational DBMS
Websitebangdb.comwww.circonus.com/­solutions/­time-series-databasekx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationbangdb.com/­developerdocs.circonus.com/­irondbcode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBCirconus LLC.Kx Systems, a division of First Derivatives plcMicrosoft
Initial release201220172000 infokdb was released 2000, kdb+ in 20032016
Current releaseBangDB 2.0, October 2021V0.10.20, January 20183.6, May 2018
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and C++qC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infotext, numeric, histogramsyesyes
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, geospatialnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoyes, in Luauser defined functionsTransact SQL
Triggersyes, Notifications (with Streaming only)noyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic, metric affinity per nodehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)configurable replication factor, datacenter awareSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)norights management via user accountsyes
More information provided by the system vendor
BangdbIRONdbKdb+Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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More resources
BangdbIRONdbKdb+Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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