DBMS > Bangdb vs. Microsoft Azure Data Explorer vs. Riak TS vs. Transwarp StellarDB

System Properties Comparison Bangdb vs. Microsoft Azure Data Explorer vs. Riak TS vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Bangdb  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Riak TS  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
Description	Converged and high performance database for device data, events, time series, document and graph	Fully managed big data interactive analytics platform	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store Graph DBMS Time Series DBMS	Relational DBMS column oriented	Time Series DBMS	Graph DBMS
Secondary database models	Spatial DBMS	Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.16 Rank #338   Overall #47   Document stores #32   Graph DBMS #31   Time Series DBMS	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	bangdb.com	azure.microsoft.com/­services/­data-explorer		www.transwarp.cn/­en/­product/­stellardb
Technical documentation	docs.bangdb.com	docs.microsoft.com/­en-us/­azure/­data-explorer	www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Sachin Sinha, BangDB	Microsoft	Open Source, formerly Basho Technologies	Transwarp
Initial release	2012	2019	2015
Current release	BangDB 2.0, October 2021	cloud service with continuous releases	3.0.0, September 2022
License Commercial or Open Source	Open Source BSD 3	commercial	Open Source	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C, C++		Erlang
Server operating systems	Linux	hosted	Linux OS X
Data scheme	schema-free	Fixed schema with schema-less datatypes (dynamic)	schema-free
Typing predefined data types such as float or date	yes: string, long, double, int, geospatial, stream, events	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	no
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no
Secondary indexes	yes secondary, composite, nested, reverse, geospatial	all fields are automatically indexed	restricted
SQL Support of SQL	SQL like support with command line tool	Kusto Query Language (KQL), SQL subset	yes, limited	SQL-like query language
APIs and other access methods	Proprietary protocol RESTful HTTP API	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	HTTP API Native Erlang Interface	OpenCypher
Supported programming languages	C C# C++ Java Python	.Net Go Java JavaScript (Node.js) PowerShell Python R	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	Erlang
Triggers	yes, Notifications (with Streaming only)	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm	Sharding Implicit feature of the cloud service	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor, Knob for CAP (enterprise version only)	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	yes
Consistency concepts Methods to ensure consistency in a distributed system	Tunable consistency, set CAP knob accordingly	Eventual Consistency Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes, optimistic concurrency control	yes	yes	yes
Durability Support for making data persistent	yes, implements WAL (Write ahead log) as well	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes, run db with in-memory only mode	no
User concepts Access control	yes (enterprise version only)	Azure Active Directory Authentication	no	yes
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Bangdb	Microsoft Azure Data Explorer	Riak TS	Transwarp StellarDB
Recent citations in the news		We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, azure.microsoft.com Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, azure.microsoft.com Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, azure.microsoft.com Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, azure.microsoft.com New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, azure.microsoft.com provided by Google News	New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA provided by Google News

Share this page