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DBMS > Hypertable vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. TDengine vs. WakandaDB

System Properties Comparison Hypertable vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. TDengine vs. WakandaDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMSDocument storeTime Series DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsravendb.netgithub.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docsdocs.tdengine.comwakanda.github.io/­doc
DeveloperHypertable Inc.MicrosoftHibernating RhinosTDEngine, previously Taos DataWakanda SAS
Initial release20092016201020192012
Current release0.9.8.11, March 20165.4, July 20223.0, August 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#CC++, JavaScript
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS
Raspberry Pi
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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 indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoyesSQL-like query language (RQL)Standard SQL with extensions for time-series applicationsno
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnoTransact SQLyesnoyes
Triggersnonoyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyesAuthorization levels configured per client per databaseyesyes
More information provided by the system vendor
HypertableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBTDengineWakandaDB
Specific characteristicsTDengine™ 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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More resources
HypertableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBTDengineWakandaDB
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