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DBMS > Bangdb vs. EsgynDB vs. Microsoft Azure SQL Database vs. XTDB

System Properties Comparison Bangdb vs. EsgynDB vs. Microsoft Azure SQL Database vs. XTDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitebangdb.comwww.esgyn.cnazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.xtdb.com/­docs
DeveloperSachin Sinha, BangDBEsgynMicrosoftJuxt Ltd.
Initial release2012201520102019
Current releaseBangDB 2.0, October 2021V121.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++, JavaC++Clojure
Server operating systemsLinuxLinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes, extensible-data-notation format
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoJava Stored ProceduresTransact SQLno
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication between multi datacentersyes, with always 3 replicas availableyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 modeno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BangdbEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
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