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DBMS > Bangdb vs. Microsoft SQL Server vs. RavenDB vs. Snowflake

System Properties Comparison Bangdb vs. Microsoft SQL Server vs. RavenDB vs. Snowflake

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRavenDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphMicrosofts flagship relational DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial 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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitebangdb.comwww.microsoft.com/­en-us/­sql-serverravendb.netwww.snowflake.com
Technical documentationdocs.bangdb.comlearn.microsoft.com/­en-US/­sql/­sql-serverravendb.net/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperSachin Sinha, BangDBMicrosoftHibernating RhinosSnowflake Computing Inc.
Initial release2012198920102014
Current releaseBangDB 2.0, October 2021SQL Server 2022, November 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license availablecommercial
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++C#
Server operating systemsLinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
hosted
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.noyesyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like query language (RQL)yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesuser defined functions
Triggersyes, Notifications (with Streaming only)yesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmtables can be distributed across several files (horizontal partitioning); sharding through federationShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes, but depending on the SQL-Server EditionMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableACID
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 modeyesno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardAuthorization levels configured per client per databaseUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
BangdbMicrosoft SQL ServerRavenDBSnowflake
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