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DBMS > atoti vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. TDengine

System Properties Comparison atoti vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. TDengine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Converged and high performance database for device data, events, time series, document and graphElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platform
Primary database modelObject oriented DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteatoti.iobangdb.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.atoti.iodocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.com
DeveloperActiveViamSachin Sinha, BangDBMicrosoftTDEngine, previously Taos Data
Initial release201220162019
Current releaseBangDB 2.0, October 20213.0, August 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSD 3commercialOpen Source infoAGPL V3, also commercial editions available
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 languageJavaC, C++C++C
Server operating systemsLinuxhostedLinux
Windows
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL like support with command line toolyesStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonnoTransact SQLno
Triggersyes, Notifications (with Streaming only)noyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only mode
User concepts infoAccess controlyes (enterprise version only)yesyes
More information provided by the system vendor
atotiBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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